Jingfei Ma, Ph.D.

Peer-Reviewed Articles

1. Valenzuela Perez, RF, Duran Sierra, EJ, Antony, M, Amini, B, Lo, S, Torres, KE, Benjamin, RS, Ma, J, Hwang, K, Stafford, RJ, Araujo, DM, Bishop, AJ, Ratan, R, Wang, W, Espinoza, J, Valenzuela, PV, Wu, C, Madewell, JE, Murphy Jr, WA, Costelloe, C. Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST. Cancer Imaging 25(1), 2025. e-Pub 2025. PMID: 40281609.
2. Christenson, C, Wu, C, Hormuth, DA, Ma, J, Yam, C, Rauch, GM, Yankeelov, TE. Personalizing neoadjuvant chemotherapy regimens for triple-negative breast cancer using a biology-based digital twin. npj Systems Biology and Applications 11(1), 2025. e-Pub 2025. PMID: 40410237.
3. Wu, C, Lima, EA, Stowers, CE, Xu, Z, Yam, C, Son, JB, Ma, J, Rauch, GM, Yankeelov, TE. MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens. npj Digital Medicine 8(1), 2025. e-Pub 2025. PMID: 40195521.
4. Nguyen, D, Palmquist, SM, Hwang, KP, Ma, J, Salem, UI, Sun, J, Wang, X, Son, JB, Ernst, RD, Wei, P, Kaur, H, Stanietzky, N. T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction. Journal of applied clinical medical physics 26(5), 2025. e-Pub 2025. PMID: 39976552.
5. Xu Z, Zhou Z, Son JB, Feng H, Adrada BE, Moseley TW, Candelaria RP, Guirguis MS, Patel MM, Whitman GJ, Leung JWT, Le-Petross HTC, Mohamed RM, Panthi B, Lane DL, Chen H, Wei P, Tripathy D, Litton JK, Valero V, Huo L, Hunt KK, Korkut A, Thompson A, Yang W, Yam C, Rauch GM, Ma J. Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. Cancers (Basel) 17(6), 2025. e-Pub 2025. PMID: 40149299.
6. Valenzuela Perez, RF, Duran Sierra, EJ, Canjirathinkal, M, Amini, B, Hwang, KP, Ma, J, Torres, KE, Stafford, RJ, Wang, W, Benjamin, RS, Bishop, AJ, Madewell, JE, Murphy Jr, WA, Costelloe, C. Novel Use and Value of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic and Radiomic Features in Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response. JCO Clinical Cancer Informatics 9, 2025. e-Pub 2025. PMID: 39841956.
7. Stowers CE, Wu C, Xu Z, Kumar S, Yam C, Son JB, Ma J, Tamir JI, Rauch GM, Yankeelov TE. Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer. Radiol Artif Intell 7(1):e240124, 2025. e-Pub 2025. PMID: 39503605.
8. Valenzuela Perez, RF, Duran Sierra, EJ, Canjirathinkal, M, Amini, B, Torres, KE, Benjamin, RS, Ma, J, Wang, W, Hwang, K, Stafford, RJ, Wu, C, Zarzour, AM, Bishop, AJ, Lo, S, Madewell, JE, Kumar, R, Murphy Jr, WA, Costelloe, C. Perfusion-weighted imaging with dynamic contrast enhancement (PWI/DCE) morphologic, qualitative, semiquantitative, and radiomics features predicting undifferentiated pleomorphic sarcoma (UPS) treatment response. Scientific reports 14(1), 2024. e-Pub 2024. PMID: 39289469.
9. Christenson, C, LaMonica, M, Yankeelov, TE, Yankeelov, TE, Yankeelov, TE, Hormuth, DA, Yankeelov, TE, Wu, C, Hormuth, DA, Stowers, CE, Yankeelov, TE, Wu, C, Ma, J, Rauch, GM, Yankeelov, TE. Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. Journal of Computational Science 82, 2024. e-Pub 2024. PMID: 40303598.
10. Musall, BC, Rauch, DE, Mohamed, RM, Panthi, B, Boge, M, Candelaria, RP, Chen, H, Guirguis, MS, Hunt, KK, Huo, L, Hwang, K, Korkut, A, Litton, J, Moseley, T, Pashapoor, S, Patel, MM, Reed, BJ, Scoggins, ME, Son, JB, Tripathy, D, Valero, V, Wei, P, White, JB, Whitman, GJ, Xu, Z, Yang, WT, Yam, C, Adrada, BE, Ma, J. Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. Journal of Magnetic Resonance Imaging 60(4):1367-1376, 2024. e-Pub 2024. PMID: 38294179.
11. Mohamed RM, Panthi B, Adrada BE, Boge M, Candelaria RP, Chen H, Guirguis MS, Hunt KK, Huo L, Hwang KP, Korkut A, Litton JK, Moseley TW, Pashapoor S, Patel MM, Reed B, Scoggins ME, Son JB, Thompson A, Tripathy D, Valero V, Wei P, White J, Whitman GJ, Xu Z, Yang W, Yam C, Ma J, Rauch GM. Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Sci Rep 14(1):16073, 2024. e-Pub 2024. PMID: 38992094.
12. Wang L, Ding Y, Bruno TL, Stafford RJ, Lin E, Bathala TK, Sanders JW, Ning MS, Ma J, Klopp AH, Venkatesan A, Wang J, Martirosyan KS, Frank SJ. A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS). Cancers (Basel) 16(10), 2024. e-Pub 2024. PMID: 38792000.
13. Wang, L, Sanders, JW, Ward, JF, Lee, SR, Poenisch, F, Swanson, DM, Sahoo, N, Zhu, XR, Ma, J, Kudchadker, RJ, Choi, S, Nguyen, Q, Mayo, LL, Shah, SJ, Frank, SJ. A Novel Polymer-Encapsulated Multi-Imaging Modality Fiducial Marker with Positive Signal Contrast for Image-Guided Radiation Therapy. Cancers 16(3), 2024. e-Pub 2024. PMID: 38339376.
14. Fang AM, Chapin BF, Shi CW, Sun J, Qayyum A, Kundra V, Corn PG, Kuban DA, Ravizzini GC, Surasi DSS, Ma J, Bathala TK. Whole-body magnetic resonance imaging for staging patients with high-risk prostate cancer. Prostate Cancer Prostatic Dis. Prostate Cancer Prostatic Dis, 2024. PMID: 39289537.
15. Valenzuela RF, Duran-Sierra E, Canjirathinkal M, Hwang KP, Amini B, Torres KE, Ma J, Stafford RJ, Wang WL, Benjamin RS, Bishop AJ, Madewell JE, Kumar R, Murphy Jr WA, Costelloe CM. The Novel Use and Value of Contrast-Enhanced Susceptibility Weighted Imaging Morphologic and Radiomic Features Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response. JCO Clin Cancer Inform, 2024. e-Pub 2024.
16. Valenzuela RF, Duran-Sierra E, Canjirathinkal M, Amini B, Torres KE, Benjamin RS, Ma J, Wang WL, Hwang KP, Stafford RJ, Wu C, Zarzour AM, Bishop AJ, Lo S, Madewell JE, Kumar R, Murphy Jr WA, Costelloe CM. Perfusion-weighted imaging with dynamic contrast enhancement (PWI/DCE) morphologic, qualitative, semiquantitative, and radiomics features predicting undifferentiated pleomorphic sarcoma (UPS) treatment response. Sci Rep, 2024.
17. Valenzuela RF, Duran-Sierra E, Canjirathinkal MA, Amini B, Ma J, Hwang KP, Stafford RJ, Torres KE, Zarzour MA, Livingston JA, Madewell JE, Murphy Jr WA, Costelloe CM. Contrast-enhanced Susceptibility Weighted Imaging (CE-SWI) for the Characterization of Musculoskeletal Oncologic Pathology: A Pictorial Essay on the Initial Five-year Experience at a Cancer Institution. J Radiol Oncol, 2024.
18. Valenzuela RF, Duran-Sierra E, Canjirathinkal M, Amini B, Torres KE, Benjamin RS, Ma J, Wang WL, Hwang KP, Stafford RJ, Wu C, Zarzour AM, Bishop AJ, Lo S, Madewell JE, Kumar R, Murphy Jr WA, Costelloe CM. Radiomics by Quantitative Diffusion-weighted MRI for Predicting Response in Patients with Extremity Soft-tissue Undifferentiated Pleomorphic Sarcoma. J Radiol Oncol, 2024.
19. Xu Z, Rauch DE, Mohamed RM, Pashapoor S, Zhou Z, Panthi B, Son JB, Hwang KP, Musall BC, Adrada BE, Candelaria RP, Leung JWT, Le-Petross HTC, Lane DL, Perez F, White J, Clayborn A, Reed B, Chen H, Sun J, Wei P, Thompson A, Korkut A, Huo L, Hunt KK, Litton JK, Valero V, Tripathy D, Yang W, Yam C, Ma J. Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer. Cancers (Basel) 15(19), 2023. e-Pub 2023. PMID: 37835523.
20. Giganti F, Ng A, Asif A, Chan VW, Rossiter M, Nathan A, Khetrapal P, Dickinson L, Punwani S, Brew-Graves C, Freeman A, Emberton M, Moore CM, Allen C, Kasivisvanathan V, Dias AB, Haider A, Khan A, Tong A, Rannikko A, Kenttämies A, Rastinehad AR, Stabile A, Villers A, Tewari A, Oto A, Israël B, Gaing B, Cho CC, González CA, Lee CH, Wetterauer C, Kesch C, Adamo DA, Margolis DJA, Ruiz DJL, Margel D, Murphy D, Gómez EG, Chun F, Preisser F, Thomas F, Villeirs G, Marra G, Giannarini G, Brembilla G, Robert G, Manenti G, Cash H, Potyka I, Radtke JP, Leow JJ, Theysohn JM, Hu JC, Ma J, Mynderse LA, Boesen L, Budäus L, Schimmöller L, Grant L, Orecchia L, de Rooij M, Ghei M, Gatti M, Volpacchio M, Vaarala M, Pecoraro M, Imbriaco M, Roethke M, Cabello MAR, Miguel N, Singh P, Muirhead N, Chiu PK, Ryan P, Puech P, Mozer P, De Visschere P, Viana PCC, Penna RR, Novotta R, Cuocolo R, O’Sullivan R, Girometti R, Ghai S, Eggener S, Bathala T, Pham T, Barrett T, Panebianco V, Løgager V, Wagaskar VG, Ber Y, Lebras Y. Global Variation in Magnetic Resonance Imaging Quality of the Prostate. Radiology 309(1):e231130, 2023. e-Pub 2023. PMID: 37815448.
21. Saleh, M, Virarkar, M, Javadi, S, Mathew, M, Vulasala, SR, Son, JB, Sun, J, Bayram, E, Wang, X, Ma, J, Szklaruk, J, Bhosale, PR. A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality with PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging. Journal of computer assisted tomography 47(5):721-728, 2023. e-Pub 2023. PMID: 37707401.
22. Saleh M, Virarkar M, Javadi S, Mathew M, Vulasala SSR, Son JB, Sun J, Bayram E, Wang X, Ma J, Szklaruk J, Bhosale P. A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging. J Comput Assist Tomogr 47(5):721-728, 2023. e-Pub 2023. PMID: 37311664.
23. Hwang KP, Elshafeey NA, Kotrotsou A, Chen H, Son JB, Boge M, Mohamed RM, Abdelhafez AH, Adrada BE, Panthi B, Sun J, Musall BC, Zhang S, Candelaria RP, White JB, Ravenberg EE, Tripathy D, Yam C, Litton JK, Huo L, Thompson AM, Wei P, Yang WT, Pagel MD, Ma J, Rauch GM. A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer. Radiol Imaging Cancer 5(4):e230009, 2023. e-Pub 2023. PMID: 37505106.
24. Zhou Z, Adrada BE, Candelaria RP, Elshafeey NA, Boge M, Mohamed RM, Pashapoor S, Sun J, Xu Z, Panthi B, Son JB, Guirguis MS, Patel MM, Whitman GJ, Moseley TW, Scoggins ME, White JB, Litton JK, Valero V, Hunt KK, Tripathy D, Yang W, Wei P, Yam C, Pagel MD, Rauch GM, Ma J. Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs. Annu Int Conf IEEE Eng Med Biol Soc 2023:1-4, 2023. e-Pub 2023. PMID: 38083160.
25. Phillips, C, Lima, EA, Wu, C, Jarrett, AM, Zhou, Z, Elshafeey, N, Ma, J, Rauch, GM, Yankeelov, TE. Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. Journal of Computational Science 69, 2023. e-Pub 2023.
26. Phillips CM, EABF L, Wu C, Jarrett AM, Zhou Z, Elshafeey N, Ma J, Rauch GM, Yankeelov TE. Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. Journal of Computational Science 69, 2023. e-Pub 2023.
27. Ferrone K, Willis C, Guan F, Ma J, Peterson L, Kry S. Evaluating bone marrow dosimetry with the addition of bone marrow structures to the medical internal radiation dose phantom. Precision Radiation Oncology 7(1):27-35, 2023. e-Pub 2023.
28. Ferrone K, Willis C, Guan F, Ma J, Peterson L, Kry S. A Review of Magnetic Shielding Technology for Space Radiation. Radiation 3(1):46-57, 2023. e-Pub 2023.
29. Panthi B, Adrada BE, Candelaria RP, Guirguis MS, Yam C, Boge M, Chen H, Hunt KK, Huo L, Hwang KP, Korkut A, Lane DL, Le-Petross HC, Leung JWT, Litton JK, Mohamed RM, Musall BC, Pashapoor S, Patel MM, Perez F, Son JB, Thompson A, Valero V, Wei P, White J, Xu Z, Pinsky L, Tripathy D, Yang W, Ma J, Rauch GM. Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI. Cancers (Basel) 15(4), 2023. e-Pub 2023. PMID: 36831368.
30. Zhou Z, Adrada BE, Candelaria RP, Elshafeey NA, Boge M, Mohamed RM, Pashapoor S, Sun J, Xu Z, Panthi B, Son JB, Guirguis MS, Patel MM, Whitman GJ, Moseley TW, Scoggins ME, White JB, Litton JK, Valero V, Hunt KK, Tripathy D, Yang W, Wei P, Yam C, Pagel MD, Rauch GM, Ma J. Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI. Sci Rep 13(1):1171, 2023. e-Pub 2023. PMID: 36670144.
31. Panthi B, Mohamed RM, Adrada BE, Boge M, Candelaria RP, Chen H, Hunt KK, Huo L, Hwang KP, Korkut A, Lane DL, Le-Petross HC, Leung JWT, Litton JK, Pashapoor S, Perez F, Son JB, Sun J, Thompson A, Tripathy D, Valero V, Wei P, White J, Xu Z, Yang W, Zhou Z, Yam C, Rauch GM, Ma J. Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Front Oncol 13:1264259, 2023. e-Pub 2023. PMID: 37941561.
32. Wu C, Jarrett AM, Zhou Z, Elshafeey N, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Huo L, White JB, Tripathy D, Valero V, Litton JK, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancer Research 82(18):3394-3404, 2022. e-Pub 2022.
33. Musall BC, Adrada BE, Candelaria RP, Mohamed RMM, Abdelhafez AH, Son J, Sun J, Santiago L, Whitman GJ, Moseley TW, Scoggins ME, Mahmoud HS, White JB, Hwang K, Elshafeey NA, Boge M, Zhang S, Litton JK, Valero V, Tripathy D, Thompson AM, Yam C, Wei P, Moulder SL, Pagel MD, Yang WT, Ma J, Rauch GM. Quantitative Apparent Diffusion Coefficients from Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. J Magn Reson Imaging 56(6):1901-1909, 2022. e-Pub 2022.
34. Zhang S, Rauch GM, Adrada BE, Boge M, Mohamed RMM, Abdelhafez AH, Bum Son JB, Sun J, Elshafeey NA, White JB, Musall BC, Miyoshi M, Wang X, Kotrotsou A, Wei P, Hwang KP, Ma J, Pagel MD. Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer–weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study. Radiology: Imaging Cancer 3(5):e200155, 2021. e-Pub 2021.
35. Ferrone, KL, Guan, F, Ma, J, Peterson, L, Willis, CE, Kry, SF. Reducing space radiation cancer risk with magnetic shielding. Advances in Space Research 68(1):153-160, 2021. e-Pub 2021.
36. Musall BC, Abdelhafez AH, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Le-Petross H, Arribas E, Lane DL, Spak DA, Leung JWT, Hwang KP, Son JB, Elshafeey NA, Mahmoud HS, Wei P, Sun J, Zhang S, White JB, Ravenberg EE, Litton JK, Damodaran S, Thompson AM, Moulder SL, Yang WT, Pagel MD, Rauch GM, Ma J. Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer. J Magn Reson Imaging 54(1):251-260, 2021. e-Pub 2021. PMID: 33586845.
37. Qayyum A, Bhosale P, Aslam R, Avritscher R, Ma J, Pagel MD, Sun J, Mohamed Y, Rashid A, Beretta L, Kaseb AO. Effect of sarcopenia on systemic targeted therapy response in patients with advanced hepatocellular carcinoma. Abdom Radiol (NY) 46(3):1008-1015, 2021. e-Pub 2021. PMID: 32974761.
38. Sanders JW, Venkatesan AM, Levitt CA, Bathala T, Kudchadker RJ, Tang C, Bruno TL, Starks C, Santiago E, Wells M, Weaver CP, Ma J, Frank SJ. Fully balanced SSFP without an endorectal coil for post-implant QA of MRI-assisted radiosurgery (MARS) of prostate cancer: a prospective study. Int J Radiat Oncol Biol Phys 109(2):614-625, 2021. e-Pub 2021. PMID: 32980498.
39. Wang X, Ma J, Bhosale P, Rovira JJI, Qayyum A, Bayram E, Szklaruk J. Novel Deep Learning–Based Noise Reduction Technique for Prostate Magnetic Resonance Imaging. Abdom Radiol 46:3378-3386, 2021. e-Pub 2021.
40. Denbo JW, Kim BJ, Vauthey JN, Tzeng CW, Ma J, Huang SY, Chun YS, Katz MHG, Aloia TA. Overall Body Composition and Sarcopenia Are Associated with Poor Liver Hypertrophy Following Portal Vein Embolization. J Gastrointest Surg 25(2):405-410, 2021. e-Pub 2021. PMID: 31997073.
41. Sanders JW, Chen HS, Johnson JM, Schomer DF, Jimenez JE, Ma J, Liu HL. Synthetic generation of DSC-MRI-derived relative CBV maps from DCE MRI of brain tumors. Magn Reson Med 85(1):469-470, 2021. e-Pub 2021. PMID: 32726488.
42. Zhou Z, Jain P, Lu Y, Macapinlac H, Wang ML, Son JB, Pagel MD, Xu G, Ma J. Computer-aided detection of mantle cell lymphoma on 18F-FDG PET/CT using a deep learning convolutional neural network. Am J Nucl Med Mol Imaging 11(4):260-270, 2021. e-Pub 2021. PMID: 34513279.
43. Szklaruk J, Son JB, Starr BF, Sun J, Davila A, Bhosale PR, Ma J. Evaluation of feasibility and image quality of a new radial quantitative T2 weighted imaging sequence for liver MRI. Clin Imaging 66:77-81, 2020. e-Pub 2020. PMID: 32460150.
44. Scoggins ME, Arun BK, Candelaria RP, Dryden MJ, Wei W, Son JB, Ma J, Dogan BE. Should abbreviated breast MRI be compliant with American College of Radiology requirements for MRI accreditation?. Magn Reson Imaging 72:87-94, 2020. e-Pub 2020. PMID: 32622851.
45. Frank SJ, Mourtada F, Crook J, Orio PF, Stock RG, Petereit DG, Rossi PJ, Cox BW, Tang C, Kudchadker RJ, Bruno T, Ma J, Sanders J, Keyes M. The American Brachytherapy Society prostate brachytherapy LDR/HDR simulation workshops: Hands-on, step-by-step training in the process of quality assurance. Brachytherapy 19(6):787-793, 2020. e-Pub 2020.
46. Zhou Z, Sanders JW, Johnson JM, Gule-Monroe M, Chen M, Briere TM, Wang Y, Son JB, Pagel MD, Ma J, Li J. MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imaging. Radiother Oncol. e-Pub 2020. PMID: 32937104.
47. Porembka JH, Ma J, Le-Petross HT. Breast density, MR imaging biomarkers, and breast cancer risk. Breast J. e-Pub 2020. PMID: 32654416.
48. Bathala TK, Venkatesan AM, Ma J, Bhosale P, Wei W, Kudchadker RJ, Wang J, Anscher MS, Tang C, Bruno TL, Frank SJ, Szklaruk J. Quality comparison between three-dimensional T2-weighted SPACE and two-dimensional T2-weighted turbo spin echo magnetic resonance images for the brachytherapy planning evaluation of prostate and periprostatic anatomy. Brachytherapy 19(4):484-490, 2020. e-Pub 2020.
49. Sanders JW, Lewis GD, Thames HD, Kudchadker RJ, Venkatesan AM, Bruno TL, Ma J, Pagel MD, Frank SJ. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy. Int J Radiat Oncol Biol Phys 108(5):1292-1303, 2020. e-Pub 2020.
50. Beyer T, Bidaut L, Dickson J, Leitgeb K, Ma J, Sundar LKS, Theek B, Mawlawi O. What scans we will read: imaging instrumentation trends in clinical oncology. Cancer Imaging 20(1):38, 2020. e-Pub 2020.
51. Ravoori MK, Singh S, Yang P, Wei W, Chen H, Ma J, Bankson JA, Kundra V. In vivo magnetic resonance imaging of orthotopic prostate cancer. Biotechniques. e-Pub 2020. PMID: 32363906.
52. Zhou Z, Sanders JW, Johnson JM, Gule-Monroe MK, Chen MM, Briere TM, Wang Y, Son JB, Pagel MD, Li J, Ma J. Computer-aided detection of brain metastases in T1-weighted MRI for stereotactic radiosurgery using deep learning single shot detectors. Radiology 295(2):407-415, 2020. e-Pub 2020. PMID: 32181729.
53. Ning M, Vedam S, Ma J, Stafford RJ, Bruno TL, Cunningham MG, Starks CE, Lawyer AA, Venkatesan AM, Wang L, Wang J, Olivieri ND, Guzman AB, Incalcaterra JR, Thaker NG, Joyner MM, Lin LL, Jhingran A, Eifel PJ, Klopp AH. Clinical Utility and Value Contribution of an MRI-Positive Line Marker for Image-Guided Brachytherapy in Gynecologic Malignancies. Brachytherapy 19(3):305-315, 2020. e-Pub 2020.
54. Park PC, Choi GW, M Zaid M, Elganainy D, Smani DA, Tomich J, Samaniego R, Ma J, Tamm EP, Beddar S, Koay EJ. Enhancement Pattern Mapping (EPM) Technique for Improving Contrast-to-Noise Ratios (CNRs) and Detectability of Hepatobiliary Tumors on Multiphase Contrast-Enhanced CT (MPCT). Med Phys 47(1):64-74, 2020. e-Pub 2020. PMID: 31449684.
55. Borggreve AS, Goense L, van Rossum PSN, Heethuis SE, van Hillegersberg R, Lagendijk JJW, MGEH L, ALHMW VL, Mook S, Ruurda JP, van Vulpen M, Voncken FEM, Aleman BMP, Bartels-Rutten A, Ma J, Fang P, Musall BC, Lin SH, Meijer GJ. Preoperative prediction of pathologic response to neoadjuvant chemoradiotherapy in patients with esophageal cancer using 18F-FDG PET/CT and DW-MRI: a prospective multicenter study. Int J Radiat Oncol Biol Phys. e-Pub 2020. PMID: 31987972.
56. Qayyum A, Hwang KP, Stafford J, Verma A, Maru DM, Sandesh S, Sun J, Pestana RC, Avritscher R, Hassan MM, Amin H, Rashid A, Wistuba II, Ehman RL, Ma J, Kaseb AO. Immunotherapy Response Evaluation with Magnetic Resonance Elastography (MRE) in Advanced HCC. J Immunother Cancer 7(1):329, 2019. e-Pub 2019. PMID: 31779702.
57. Szklaruk J, Son JB, Wei W, Bhosale P, Javadi S, Ma J. Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging. World J Radiol 11(11):134-143, 2019. e-Pub 2019. PMID: 31798795.
58. Sanders J, Fletcher J, Frank S, Liu HL, Johnson J, Zhou Z, Chen HSC, Venkatesan A, Kudchadker R, Pagel M, Ma J. Deep learning application engine (DLAE): development and integration of deep learning algorithms in medical imaging. SoftwareX 10. e-Pub 2019.
59. Sanders JW, Frank SJ, Kudchadker RJ, Bruno TL, Ma J. Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS). Magn Reson Med 81(6):3888-3900, 2019. e-Pub 2019. PMID: 30737827.
60. Garza A, Elsherif SB, Faria SC, Sagebiel T, Sun J, Ma J, Bhosale PR. Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics. Abdom Radiol (NY). e-Pub 2019. PMID: 31190089.
61. Guvenc I, Whitman GJ, Liu P, Yalniz C, Ma J, Dogan BE. Diffusion‐weighted MR imaging increases diagnostic accuracy of breast MR imaging for predicting axillary metastases in breast cancer patients. The Breast Journal 25:47-55, 2019. e-Pub 2019.
62. Fang P, Musall BC, Son JB, Moreno AC, Hobbs BP, Carter BW, Fellman BM, Mawlawi O, Ma J, Lin SH. Multimodal Imaging of Pathologic Response to Chemoradiation in Esophageal Cancer. Int J Radiat Oncol Biol Phys 102(4):996-1001, 2018. e-Pub 2018. PMID: 29685377.
63. Sanders JW, Song H, Frank SJ, Bathala T, Venkatesan AM, Anscher M, Tang C, Bruno TL, Wei W, Ma J. Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapy. Brachytherapy 17(5):816-824, 2018. e-Pub 2018. PMID: 29880449.
64. Dogan BE, Scoggins ME, Son JB, Wei W, Candelaria R, Yang WT, Ma J. American College of Radiology-Compliant Short Protocol Breast MRI for High-Risk Breast Cancer Screening: A Prospective Feasibility Study. AJR Am J Roentgenol 210(1):214-221, 2018. e-Pub 2018. PMID: 29091003.
65. Clarke CN, Choi H, Hou P, Davis CH, Ma J, Rashid A, Vauthey JN, Aloia TA. Using MRI to non-invasively and accurately quantify preoperative hepatic steatosis. HPB (Oxford) 19(8):706-712, 2017. e-Pub 2017. PMID: 28528267.
66. Ma J, Moerland MA, Venkatesan AM, Bathala TK, Kudchadker RJ, Brock KK, Frank SJ. Pulse sequence considerations for simulation and postimplant dosimetry of prostate brachytherapy. Brachytherapy 16(4):743-753, 2017. e-Pub 2017. PMID: 28063817.
67. Szklaruk J, Luersen G, Ma J, Wei W, Underwood M. Gd-Eob-Dtpa Based Magnetic Resonance Imaging for Predicting Liver Response to Portal Vein Embolization. World Journal of Radiology 9(4):199-205, 2017. e-Pub 2017.
68. Bhosale P, Ramalingam P, Ma J, Iyer R, Soliman P, Frumovitz M, Kundra V. Can reduced field-of-view diffusion sequence help assess microsatellite instability in FIGO stage 1 endometrial cancer?. J Magn Reson Imaging 45(4):1216-1224, 2017. e-Pub 2017. PMID: 27532860.
69. Song H, Ruan D, Liu W, Stenger VA, Pohmann R, Fernández-Seara MA, Nair T, Jung S, Luo J, Motai Y, Ma J, Hazle JD, Gach HM. Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys. Med Phys 44(3):962-973, 2017. e-Pub 2017. PMID: 28074528.
70. Eghtedari M, Ma J, Fox P, Guvenc I, Yang WT, Dogan BE. Effects of magnetic field strength and b value on the sensitivity and specificity of quantitative breast diffusion-weighted MRI. Quant Imaging Med Surg 6(4):374-380, 2016. e-Pub 2016.
71. Son JB, Hwang KP, Madewell JE, Bayram E, Hazle JD, Low RN, Ma J. A flexible fast spin echo triple-echo Dixon technique. Magn Reson Med. e-Pub 2016. PMID: 26982770.
72. Ma J, Chan W, Tsai CL, Xiong M, Tilley BC. Analysis of transtheoretical model of health behavioral changes in a nutrition intervention study--a continuous time Markov chain model with Bayesian approach. Stat Med 34(27):3577-89, 2015. e-Pub 2015. PMID: 26123093.
73. Bhosale P, Ma J, Iyer R, Ramalingam P, Wei W, Soliman P, Frumovitz M, Kundra V. Feasibility of a reduced field-of-view diffusion-weighted (rFOV) sequence in assessment of myometrial invasion in patients with clinical FIGO stage I endometrial cancer. J Magn Reson Imaging. e-Pub 2015. PMID: 26185031.
74. Morani AC, Vicens RA, Wei W, Gupta S, Vikram R, Balachandran A, Reed BJ, J M, Qayyum A, Szklaruk J. CAIPIRINHA-VIBE and GRAPPA-VIBE for liver MRI at 1.5 T: a comparative in vivo patient study. J Comput Assist Tomogr 39(2):263-9, 2015. e-Pub 2015. PMID: 25635931.
75. Jacobsen MC, Dogan BE, Adrada BE, Plaxco JS, Wei W, Son JB, Hazle JD, Ma J. 3-T Breast Diffusion-Weighted MRI by Echo-Planar Imaging With Spectral Spatial Excitation or With Additional Spectral Inversion Recovery: An In Vivo Comparison of Image Quality. J Comput Assist Tomogr. e-Pub 2015. PMID: 25695868.
76. Ma J, Son JB, Hazle JD. An Improved Region Growing Algorithm for Phase Correction in MRI. Magn Reson Med. e-Pub 2015.
77. Choi H, Underwood M, Boonsirikamchai P, Matin S, Troncoso P, Ma J. Technical challenges in 3 T magnetic resonance spectroscopic imaging of the prostate-A single-institution experience. Quant Imaging Med Surg 4(4):251-8, 2014. e-Pub 2014. PMID: 25202660.
78. Rambow O, Hazle J, Clark J, Ma J. Direct water and fat determination in two-point Dixon imaging with flexible echo times. Med Phys 40(11):112302, 2013. e-Pub 2013. PMID: 24320458.
79. Costelloe CM, Madewell JE, Kundra V, Harrell RK, Bassett RL, Ma J. Conspicuity of Bone Metastases on Fast Dixon-Based Multisequence Whole Body MRI: Clinical Utility per Sequence. Magn Reson Imaging 31(5):669-75, 2013. e-Pub 2013. PMID: 23290478.
80. Boonsirikamchai P, Choi S, Frank SJ, Ma J, Elsayes KM, Kaur H, Choi H. MR imaging of prostate cancer in radiation oncology: what radiologists need to know. Radiographics 33(3):741-61, 2013. e-Pub 2013. PMID: 23674772.
81. Ravoori M, Duggal J, Gagea M, Han L, Singh S, Liu P, Wei W, Ragan DK, Bankson JA, Ma J, Kundra V. Visualizing the prostate gland by MR imaging in young and old mice. PLoS One 8(3):e55746, 2013. e-Pub 2013. PMID: 23469167.
82. Hu HH, Börnert P, Hernando D, Kellman P, Ma J, Reeder S, Sirlin C. ISMRM workshop on fat-water separation: insights, applications and progress in MRI. Magn Reson Med 68(2):378-388, 2012. e-Pub 2012. PMID: 22693111.
83. Costelloe CM, Kundra V, Ma J, Chasen BA, Rohren EM, Bassett RL, Madewell JE. Fast dixon whole-body MRI for detecting distant cancer metastasis: A preliminary clinical study. J Magn Reson Imaging 35(2):399-408, 2012. e-Pub 2012. PMID: 21990095.
84. Barnhart KF, Christianson DR, Hanley PW, Driessen WH, Bernacky BJ, Baze WB, Wen S, Tian M, Ma J, Kolonin MG, Saha PK, Do KA, Hulvat JF, Gelovani JG, Chan L, Arap W, Pasqualini R. A peptidomimetic targeting white fat causes weight loss and improved insulin resistance in obese monkeys. Sci Transl Med 3(108):108ra112, 2011. e-Pub 2011. PMID: 22072637.
85. Dogan BE, Ma J, Hwang K, Liu P, Yang WT. T1-weighted 3D dynamic contrast-enhanced MRI of the breast using a dual-echo Dixon technique at 3 T. J Magn Reson Imaging 34(4):842-51, 2011. e-Pub 2011. PMID: 21769987.
86. Shi K, Zhou K, Niu X, Luo B, Han H, Bao S, Ma J. Investigation of motion artifacts associated with fat saturation technique in 3D flash imaging. Med Phys 38(8):4556-62, 2011. e-Pub 2011. PMID: 21928627.
87. Low RN, Austin MJ, Ma J. Fast spin-echo triple echo dixon: Initial clinical experience with a novel pulse sequence for simultaneous fat-suppressed and nonfat-suppressed T2-weighted spine magnetic resonance imaging. J Magn Reson Imaging 33(2):390-400, 2011. e-Pub 2011. PMID: 21274981.
88. Shi K, Low R, Hwang KP, Bao S, Ma J. Flow compensation for the fast spin echo triple-echo Dixon sequence. Magn Reson Imaging 29(2):293-9, 2011. e-Pub 2011. PMID: 20863642.
89. Le-Petross H, Kundra V, Szklaruk J, Wei W, Hortobagyi GN, Ma J. Fast three-dimensional dual echo dixon technique improves fat suppression in breast MRI. J Magnetic Resonance Imaging 31(4):889-894, 2010. e-Pub 2010.
90. Ahmad M, Slavens ZW, Low R, Merkle E, Hwang KP, Vu A, Ma J. A method for automatic identification of water and fat images from a symmetrically-sampled dual-echo Dixon technique. Magn Reson Imaging 28(3):427-433, 2010. e-Pub 2010.
91. Low RN, Ma J, Panchal N. Fast spin-echo triple-echo Dixon: Initial clinical experience with a novel pulse sequence for fat-suppressed T2-weighted abdominal MR imaging. J Magn Reson Imaging 30(3):569-577, 2009. e-Pub 2009. PMID: 19711403.
92. Costelloe CM, Rohren EM, Madewell JE, Hamaoka T, Theriault RL, Yu TK, Lewis VO, Ma J, Stafford RJ, Tari AM, Hortobagyi GN, Ueno NT. Imaging bone metastases in breast cancer: Update on imaging techniques and recommendations for diagnosis. The Lancet Oncology 10:606-14, 2009. e-Pub 2009.
93. Bhosale P, Ma J, Choi H. Utility of the FIESTA pulse sequence in body oncologic imaging review. Am J Roentgenology Integrative Imaging: Review 192(S83-S93), 2009. e-Pub 2009.
94. Ma J, Costelloe CM, Madewell JE, Hortobagyi GN, Green MC, Cao G, Sun F, Kundra VF. Fast Dixon-based multi-sequence and multi-planner MRI for whole body detection of cancer metastases. J Magn Reson Imaging 29:1154-1162, 2009. e-Pub 2009.
95. Ma J, Jackson EF, Kumar AJ, Ginsberg LE. Improving fat-suppressed T2-weighted imaging of head and neck with two fast spin echo Dixon techniques: initial experiences. Am J Neuroradiology 30:42-45, 2009. e-Pub 2009.
96. Ma J, Slavens Z, Sun W, Bayram E, Estowski L, Hwang K, Akao J, Vu A. Linear phase error correction for improved water and fat separation in dual-echo Dixon techniques. Magn Reson Med 60(5):1250-1255, 2008. e-Pub 2008.
97. Low RN, Panchal N, Vu AT, Knowles A, Estkowski L, Slavens Z, Ma J. Three-dimensional fast spoiled gradient-echo dual echo (3D-FSPGR-DE) with water reconstruction: Preliminary experience with a novel pulse sequence for gadolinium-enhanced abdominal MR imaging. J Magn Reson Imaging 28(4):946-956, 2008. e-Pub 2008. PMID: 18821620.
98. Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging 28(3):543-58, 2008. e-Pub 2008. PMID: 18777528.
99. Ma J. A single-point Dixon technique for fat-suppressed fast 3D gradient-echo imaging with a flexible echo time. J Magn Reson Imaging 27(4):881-890, 2008. e-Pub 2008. PMID: 18302201.
100. Choi H, Ma J. Use of perfluorocarbon compound in the endorectal coil to improve MR spectroscopy of the prostate. AJR Am J Roentgenol 190(4):1055-9, 2008. e-Pub 2008.
101. Hernando D, Haldar JP, Sutton BP, Ma J, Kellman P, Liang ZP. Joint estimation of water/fat images and field in homogeneity map. Magn Reson Med 59(3):571-80, 2008. e-Pub 2008.
102. Fernández A, Sanguino A, Peng Z, Ozturk E, Chen J, Crespo A, Wulf S, Shavrin A, Qin C, Ma J, Trent J, Lin Y, Han HD, Mangala LS, Bankson JA, Gelovani J, Samarel A, Bornmann W, Sood AK, Lopez-Berestein G. An anticancer C-Kit kinase inhibitor is reengineered to make it more active and less cardiotoxic. J Clin Invest 117(12):4044-54, 2007. e-Pub 2007. PMID: 18060038.
103. Ma J, Son JB, Zhou Y, Le-Petross H, Choi H. Fast spin-echo triple-echo dixon (fTED) technique for efficient T2-weighted water and fat imaging. Magn Reson Med 58(1):103-9, 2007. e-Pub 2007. PMID: 17659631.
104. Kundra V, Ng CS, Ma J, Bankson JA, Price RE, Cody D, Wendt RE, Sikes CR, Erwin WD, Han L, Navone NM. In vivo imaging of prostate cancer involving bone in a mouse model. Prostate 67(1):50-60, 2007. e-Pub 2007.
105. Madsen MT, Anderson JA, Halama JR, Kleck J, Simpkin DJ, Votaw JR, Wendt RE, Williams LE, Yester MV. AAPM Task Group 108: PET and PET/CT shielding requirements. Med Phys 33(1):4-15, 2006. e-Pub 2006. PMID: 16485403.
106. Kwek JW, Choi H, Ma J, Miller MJ. Gel-Gel Double-Lumen Silicone Breast Implant: A Mimic of Intracapsular Implant Rupture. Am J. Roentgenol 187(4):W436-7, 2006. e-Pub 2006.
107. Ma J, Vu AT, Son JB, Choi H, Hazle JD. Fat-suppressed three-dimensional dual echo Dixon technique for contrast agent enhanced MRI. J Magn Reson Imaging 23(1):36-41, 2006. e-Pub 2006. PMID: 16315212.
108. Bao S, Lai S, Zhou Y, Ma J, Yin F, Jia P. Medical physics program, medical care organizations and digital medical key device enterprises. China Medical Device Information 12(1):27-32, 2006. e-Pub 2006.
109. Ma J, Son JB, Bankson JA, Stafford RJ, Choi H, Ragan D. A fast spin echo two-point Dixon technique and its combination with sensitivity encoding for efficient T2-weighted imaging. Magn Reson Imaging 23(10):977-82, 2005. e-Pub 2005. PMID: 16376180.
110. Ma J. Multislice and multicoil phase sensitive inversion recovery imaging. Magn. Reson. Med 53/4:904-910, 2005. e-Pub 2005.
111. Ma J, Singh SK, Kumar AJ, Leeds NE, Zhan J. T2-weighted spine imaging with a fast three-point dixon technique: comparison with chemical shift selective fat suppression. J Magn Reson Imaging 20(6):1025-9, 2004. e-Pub 2004. PMID: 15558561.
112. Garach RM, Ji JX, Ying L, Ma J. Robust phase sensitive inversion recovery imaging using a Markov random field model. Conf Proc IEEE Eng Med Biol Soc 2:1569-1572, 2004. e-Pub 2004.
113. Ma J, Kumar AJ, Singh SK, Leeds NE, Zhan J. T2-weighted spine imaging with a phased-array coil compatible and fast three-point Dixon technique: a comparative study with chemical shift suppression. J. Magn. Reson. Imaging 20:1025, 2004. e-Pub 2004.
114. Ma J, Choi H, Stafford RJ, Miller M. Silicone-specific imaging using an inversion recovery-prepared fast three-point Dixon technique. J. Magn. Reson. Imaging 19:298-302, 2004. e-Pub 2004.
115. Ma J. Breathhold water and fat imaging using a dual-echo two-point Dixon technique with an efficient and robust phase correction algorithm. Magn. Reson. Med 52:415, 2004. e-Pub 2004. PMID: 15282827.
116. Ji X, Ma J, Aref M, Wiener E, Liang ZP. An improved MRI Method for Dynamic Contrast-Enhanced Imaging of Tumors. Proc IEEE Eng Med Biol Soc 1:478-481, 2003. e-Pub 2003.
117. Rybicki, FJ, Marler, JJ, Upton, J, Blinder, EM, Mulkern, RV, Ma, J. Case Report: Giant Cell Angioblastoma. Applied Radiology 31 (Supplement 1):13-15, 2002. e-Pub 2002.
118. Ma J, Singh SK, Kumar AJ, Leeds NEand Broemling LD. Method for efficient fast spin-echo Dixon imaging. Magn. Reson. Med 48:1021-1027, 2002. e-Pub 2002.
119. Rybicki FJ, Mulkern RV, Robertson RL, Robson CD, Chung T, Ma J. Fast three-point Dixon MR imaging of the retrobulbar space with low-resolution images for phase correction: a comparison with fast spin-echo inversion recovery imaging. AJNR Am J Neuroradiol 22:1798, 2001. e-Pub 2001. PMID: 11673183.
120. Rybicki FJ, Chung T, Reid J, Jaramillo D, Mulkern RV, Ma J. Fast three-point Dixon MR imaging using low-resolution images for phase correction: a comparison with chemical shift selective fat suppression for pediatric musculoskeletal imaging. AJR Am J Roentgenol 177:1019-23, 2001. e-Pub 2001. PMID: 11641161.
121. Wehrli FW, Ma J, Hopkins JA, Song HK. Measurement of R2 in the presence of multiple spectral components using reference spectrum deconvolution. J. Magn. Reson 131/1:61, 1998. e-Pub 1998.
122. Wehrli FW, Hwang SN, Ma J, Song HK, Ford JC, Haddad JG. Cancellous bone volume and structure in the forearm: noninvasive assessment with MR micro-imaging and image processing. Radiology 206/2:347, 1998. e-Pub 1998.
123. Ma J, Wehrli FW, Hwang SN, Song HK. A single scan imaging technique for quantitation of fat and water and their transverse relaxation times. J. Magn. Reson. B 125:92, 1997. e-Pub 1997.
124. Song HK, Wehrli FW, Ma J. In vivo MR Microscopy of the Human Skin. Magn. Reson. Med 37:185, 1997. e-Pub 1997.
125. Song HK, Wehrli FW, Ma J. Field Strength Angle Dependence of Trabecular Bone Marrow Transverse Relaxation Rate in the Calcaneus. J. Magn. Reson. Imaging 7/2:382, 1997. e-Pub 1997.
126. Ma J, and Wehrli FW. Method for image-based Measurement of the Reversible and Irreversible Contribution to the Transverse Relaxation Rate. J. Magn. Reson. B 111:61, 1996. e-Pub 1996.
127. Ma J, Wehrli FW, Song HK. Fast 3D Large-Angle Spin Echo Imaging (3D FLASE). Magn. Reson. Med 35:903, 1996. e-Pub 1996. PMID: 8744019.
128. Byrd H, Whipps S, Pike JK, Ma J, Nagler SE, Tahham DR. Role of the Template Layer in Organizing Self-Assembled Films: Zirconium Phosphonate Monolayers and Multilayers at a Langmuir-Blodgett Template. J. Am. Chem. Soc 116:295-301, 1994. e-Pub 1994.
129. Ma J, Cajipe VB, Zhu Q, Fischer JE, Mathis C, Powell BM. Broken Symmetry Interchain Packing in Lithium-doped Polyacetylene: A Combined X-ray/Neutron Diffraction Study. Solid State Comm 85:779, 1993. e-Pub 1993.
130. Zhang J, Ma J, Nagler SE, Brown SE. Deformation of the Charge Density Wave by Electric Fields in K0.3MoO3. Phys Rev B 47:1655, 1993. e-Pub 1993.
131. Zhang J, Ma J, Nagler SE, Brown SE. Polarization Kinetics of the Charge Density Wave State of K0.3MoO3. Phys Rev Lett 70:3095, 1993. e-Pub 1993.
132. Ma J, Fischer JE, Cao Y, Heeger AJ. X-ray Structure Study of Trans-polyacetylene at High Pressure. Solid State Comm 83:395, 1992. e-Pub 1992.
133. Ma, J, Fischer, JE, Scherr, EM, MacDiarmid, AG, Jozefowicz, ME, Epstein, AJ, Mathis, C, Francois, B, Coustel, N, Bernier, P. Intrachain Dynamics and Interchain Structure of Polymers: A Comparison of Polyacetylene, Polyethylene, Polyanilline, and Poly (paraphenylene vinylenen. Phys Rev B 42:11609, 1991. e-Pub 1991.
134. Heiney PA, Fischer JE, Djurado D, Ma J, Chen D, Winokur MJ, Coustel N, Bernier P, Karasz FE. Channel structures in alkali-metal-doped conjugated polymers: Broken-symmetry two-dimensional intercalation superlattices. Physical Review. B. Condensed Matter 44:2507-2515, 1991. e-Pub 1991. PMID: 9999820.
135. Fischer JE, Heiney PA, Ma J. New Results on the X-Ray Structure of Trans-(CH)x and its Alkali Metal Intercalation Compounds. Synthetic Metals 33:41-43, 1991. e-Pub 1991.
136. Ma J, Djurado D, Fischer JE, Coustel N, Bernier P. X-ray structure of Cs-doped polyacetylene. Physical Review. B. Condensed Matter 41:2971-2975, 1990. e-Pub 1990. PMID: 9994067.
137. Djurado JE, Fischer JE, Heiney PA, Ma J, Coustel N, Bernier P. Staging in Potassium-Doped Polyacetylene: In Situ X-ray Diffraction. Synthetic Metals 34:683, 1990. e-Pub 1990.
138. Vaknin D, Fischer JE, Djurado D, Ma J, Milliken JW. Structure and Dynamics of C8AsF5: A Neutron ScatteringvStudy. Synthetic Metals 34:353, 1990. e-Pub 1990.
139. Djurado D, Ma J, Theophilou N, Fischer JE. Structural Characterization of a New Polyacetylene: Preferred Orientation and Coherence Length. Synthetic Metals 30:395, 1989. e-Pub 1989.
140. Ma J, Choi HY, Mele EJ, Fischer JE. Staging in Doped Polymers. Synthetic Metals 27:A75, 1988. e-Pub 1988.
141. Musall BC, Rauch DE, Mohamed RMM, Panthi B, Boge M, Candelaria RP, Chen H, Guirguis MS, Hunt KK, Huo L, Hwang KP, Korkut A, Litton JK, Moseley TW, Pashapoor S, Patel MM, Reed BJ, Scoggins ME, Son JB, Tripathy D, Valero V, Wei P, White JB, Whitman GJ, Xu Z, Yang WT, Yam C, Adrada BE, Ma J. Diffusion Tensor Imaging for Characterizing MRI Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. Journal of Magnetic Resonance Imaging.

Invited Articles

1. Ma J. NMR methods for investigation of structure and transport. J Nuc Med 54:659, 2013. e-Pub 2013.

Review Articles

1. Lee, S, Palmquist, SM, Ma, J, Kaur, H. Rectal MR Imaging. Radiologic Clinics of North America 63(3):419-434, 2025. e-Pub 2025. PMID: 40221184.
2. Fang AM, Gregg JR, Pettaway C, Ma J, Szklaruk J, Bathala TK, Surasi DSS, Chapin BF. Whole-body MRI for staging prostate cancer: a narrative review. BJU Int, 2024. e-Pub 2024. PMID: 39308142.
3. Fraum TJ, Ma J, Jhaveri K, Nepal P, Lall C, Costello J, Harisinghani M. The optimized rectal cancer MRI protocol: choosing the right sequences, sequence parameters, and preparatory strategies. Abdom Radiol (NY) 48(9):2771-2791, 2023. e-Pub 2023. PMID: 36899281.
4. Abdelhafez AH, Musall BC, Adrada BE, Hess K, Son JB, Hwang KP, Candelaria RP, Santiago L, Whitman GJ, Le-Petross HT, Moseley TW, Arribas E, Lane DL, Scoggins ME, Leung JWT, Mahmoud HS, White JB, Ravenberg EE, Litton JK, Valero V, Wei P, Thompson AM, Moulder SL, Pagel MD, Ma J, Yang WT, Rauch GM. Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC). Breast Cancer Res Treat 185(1):1-12, 2021. e-Pub 2021. PMID: 32920733.
5. Goldenberg JM, Pagel MD. Assessments of tumor metabolism with CEST MRI. NMR Biomed 32(10):e3943, 2019. e-Pub 2019. PMID: 29938857.
6. Costelloe CM, Rohren EM, Madewell JE, Hamaoka T, Theriault RL, Yu TK, Lewis VO, Ma J, Stafford RJ, Tari AM, Hortobagyi GN, Ueno NT. Imaging bone metastases in breast cancer: techniques and recommendations for diagnosis. Lancet Oncol 10(6):606-14, 2009. e-Pub 2009. PMID: 19482249.

Professional Educational Materials

1. Ma J. Spotlight on technology. Discovery Pipeline, Technology, 2005.

Abstracts

1. Xu Z, Son JB, Adrada BE, Moseley TW, Candelaria RP, Guirguis MS, Patel MM, Whitman GJ, Leung JWT, Le-Petross HT, Mohamed RM, Pashapoor S, Panthi B, Lane DL, Perez F, Chen H, Sun J, Wei P, Tripathy D, Yang W, Yam C, Rauch GM, Ma J. Deep learning models for predicting responses to neoadjuvant systemic therapy in triple-negative breast cancer using pre-treatment MRI. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
2. Mohamed RM, Son JB, Adrada B, Moseley T, Whitman G, Candelaria R, Panthi B, Chen H, Guirguis M, Leung J, Hwang KP, Pashapoor S, Patel M, Scoggins M, Le-Petross HT, Lane D, Perez F, Wei P, Xu Z, Tripathy D, Yang W, Yam C, Ma J, Rauch GM. Radiomics and Background Parenchymal Enhancement of Fibroglandular Tissue for Predicting Treatment Response in Triple-Negative Breast Cancer. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
3. Bhosale PR, Wang X, Iyer RB, Guidon A, Hwang KP, Ma J. Propeller Diffusion-Weighted Imaging of Endometrial Cancer with Deep Learning Reconstruction. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
4. Hwang KP, Son JB, Xu Z, Mohamed RM, Chen H, Adrada BE, Mosley T, Yam C, Wei P, Yang W, Ma J, Rauch GM. Prediction of Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer Using a 3D Neural Network on Synthetic MR Images. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
5. Le-Petross HT, Ma J, Walker CM, Sun J, Muruganandham M, Yang WT, Shaitelman SF. Short Supine Breast Magnetic Resonance Imaging to Assess Preoperative Breast Radiotherapy Boost Targets. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
6. Patel RJS, Wu C, Stowers CE, Mohamed RM, Ma J, Rauch GM, Yankeelov TE. Predicting the response of I-SPY 2 breast cancer patients to treatment using a biology-based mathematical model calibrated with quantitative MRI. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
7. Son JB, Le-Petross HT, Rauch DE, Xu Z, Moseley TW, Adrada BE, Ma J. 3D deep-learning image reconstruction for fast spin-echo triple-echo Dixon images acquired with flexible echo-spacing (FTED-Flex). 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
8. Rauch GM, Moseley T, Guirguis M, Whitman G, Candelaria R, Leung J, Patel M, Sun J, Le-Petross HTC, Lane D, Scoggins M, Perez F, Mohamed, RM, Xu Z, Pashapoor S, Son JB, Hwang KP, Chen H, Wei P, Tripathy D, Yang W, Tam C, Ma J, Adrada BE. DCE-MRI Tumor Volumetric Changes Predict Response to Neoadjuvant Immunochemotherapy in Triple Negative Breast Cancer Patients. 2024 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2024. e-Pub 2024.
9. Fang AM, Chapin BF, Shi CW, Sun J, Qayyum A, Kundra V, Corn PG, Kuban DA, Ravizzini GC, Surasi DSS, Ma J, Bathala TK. Whole-Body Magnetic Resonance Imaging for Staging Patients with High-Risk Prostate Cancer. 25th Annual Meeting of Society of Urologic Oncology (SUO). e-Pub 2024.
10. Wu C, EABF L, Stowers CE, Xu Z, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Retrospective validation of digital twin-based predictions of personalized triple negative breast cancer response to neoadjuvant therapy regimens. The 2024 San Antonio Breast Cancer Symposium (SABCS). e-Pub 2024.
11. Rauch GM, Guirguis MS, Candelaria RP, Mohamed RM, Moseley T, Le-Petross H, Leung J, Whitman GJ, Lane DL, Perez F, Sun J, Xu Z, Wei P, Hwang KP, Panthi B, Korkut A, Huo L, Hunt KK, Clayborn A, Litton J, Valero V, Tripathy D, Ma J, Adrada BE. Early prediction of response to Neoadjuvant Immunotherapy in Triple Negative Breast Cancer (TNBC) with DCE-MRI. The 2023 San Antonio Breast Cancer Symposium (SABCS), 2023. e-Pub 2023.
12. Wu C, EABF L, Stowers CE, Xu Z, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Optimizing therapeutic regimens via digital twins to improve triple negative breast cancer response to neoadjuvant therapy. The 2023 San Antonio Breast Cancer Symposium (SABCS), 2023. e-Pub 2023.
13. Stowers CE, Wu C, Kumar S, Xu Z, Yam C, Son JB, Ma J, Tamir JI, Rauch GM, Yankeelov TE. Integrating mechanism-based and data-driven modeling to predict the response of triple negative breast cancer to therapy. The 2023 San Antonio Breast Cancer Symposium (SABCS), 2023. e-Pub 2023.
14. Rauch GM, Guirguis MS, Candelaria RP, Mohamed RM, Moseley T, Le-Petross H, Leung J, Whitman GJ, Lane DL, Perez F, Sun J, Xu Z, Wei P, Hwang KP, Panthi B, Korkut A, Huo L, Hunt KK, Clayborn A, Litton J, Valero V, Tripathy D, Ma J, Adrada BE. DCE-MRI Volumetric Changes Predict Response to Neoadjuvant Immunotherapy in Triple Negative Breast Cancer Patients. The 2023 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2023. e-Pub 2023.
15. Christenson C, Wu C, Hormuth II DA, Pash G, Stowers C, LaMonica M, Willcox K, Ma J, Rauch GM, Yankeelov. Introducing mechanical stress into a reduced order model for breast cancer response to chemotherapy. The 2023 Annual Meeting of Biomedical Engineering Society (BMES), 2023. e-Pub 2023.
16. McCullum L, Jacobson G, Tahon N, Bhosale P, Taniguchi C, Ma J, Tamm E, Koay E, Niedzielski J. Intravoxel Incoherent Motion (IVIM) Magnetic Resonance Imaging (MRI) for Assessment of Treatment Response in Pancreatic Cancer. The 2023 ASTRO Annual Meeting, 2023. e-Pub 2023.
17. Ward J, Wang L, Lee S, Sanders J, Poenisch F, Sahoo N, Zhu X, Ma J, Kudchadker RJ, Choi S, Nguyen Q, Mok H, Tang C, McGuire S, Hoffman K, Mayo L, Shah S, Chronowski G, Frank SJ. Early Clinical Experience of Novel Positively Visible Multi-Imaging Modality Fiducial Markers in Stereotactic MRI-Assisted Radiosurgery for Prostate Cancer. The 102nd Annual Meeting of the South Central Section of American Urological Association (AUA), 2023. e-Pub 2023.
18. Christenson C, Wu C, Hormuth II DA, Pash G, Stowers C, LaMonica M, Willcox K, Yankeelov TE, Ma J, Rauch GM. Fast digital twin construction for modeling the response of breast cancer to therapy using proper orthogonal decomposition. The 65th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2023. e-Pub 2023.
19. McCullum L, Jacobson G, Tahon N, Bhosale P, Taniguchi C, Ma J, Tamm E, Koay E, Niedzielski J. A Multiparametric Approach for Assessment of Treatment Response in Pancreatic Cancer Patients. The 65th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2023. e-Pub 2023.
20. Zhou Z, Adrada BE, Candelaria RP, Elshafeey NA, Boge M, Mohamed RM, Pashapoor S, Sun J, Xu Z, Panthi B, Son JB, Guirguis MS, Patel MM, Whitman GJ, Moseley TW, Scoggins ME, White JB, Litton JK, Valero V, Hunt KK, Tripathy D, Yang W, Wei P, Yam C, Pagel MD, Rauch GM, Ma J. Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. e-Pub 2023.
21. Xu Z, Rauch D, Mohamed RM, Panthi B, Pashapoor S, Son JB, Hwang KP, Zhou Z, Adrada BE, Chen H, Wei P, Tripathy D, Yam C, |Ma J. Deep Learning Models for Automatic Segmentation of Triple Negative Breast Cancer. The 65th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2023. e-Pub 2023.
22. Wu C, Stowers CE, Xu Z, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE, EABF L. Optimization of a longitudinal imaging protocol to monitor the response of breast cancer to neoadjuvant therapy via Bayesian-based data assimilation. The 65th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2023. e-Pub 2023.
23. Panthi B, Pashapoor S, Adrada BE, Candelaria RP, Guirguis MS, Patel MM, Mohamed RM, Boge M, Zhou Z, Son JB, Hwang KP, Le-Petross HC, Leung JWT, Scoggins ME, Whitman GJ, Xu Z, Lane DL, Moseley T, Perez F, White J, Ravenberg E, Clayborn A, Chen H, Sun J, Wei P, Thompson A, Moulder S, Korkut A, Huo L, Hunt KK, Litton JK, Valero V, Tripathy D, Yang W, Yam C, Rauch GM, |Ma J. Early Prediction of Response to Neoadjuvant Systemic Therapy of Triple Negative Breast Cancer using Radiomics on DCE-MRI. 2023 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2023. e-Pub 2023.
24. Xu Z, Pashapoor S, Panthi B, Son JB, Hwang KP, Adrada BE, Candelaria RP, Guirguis MS, Patel MM, Le-Petross HC, Leung JWT, Scoggins ME, Whitman GJ, Mohamed RM, Lane DL, Moseley T, Perez F, White J, Ravenberg E, Clayborn A, Chen H, Sun J, Wei P, Thompson A, Korkut A, Huo L, Hunt KK, Moulder S, Litton JK, Valero V, Tripathy D, Yang W, Yam C, Rauch GM, |Ma J. Tumor segmentation with nnU-Net on dynamic contrast enhanced MR images of triple negative breast cancer. 2023 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2023. e-Pub 2023.
25. Wu C, Stowers CE, Xu Z, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE, EABF L. MRI-based digital twins to forecast treatment response in breast cancer patients. The 2023 Annual Virtual Meeting of NCI Co-clinical Imaging Research Resource Program (CIRP), 2023. e-Pub 2023.
26. Wu C, Stowers CE, Xu Z, EABF L, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Quantification of tumor-associated vasculature as an imaging biomarker for monitoring the response of triple-negative breast cancer to neoadjuvant chemotherapy. The 2023 Annual Meeting of American Association for Cancer Research (AACR):5569, 2023. e-Pub 2023.
27. Stowers CE, Wu C, Kumar S, EABF L, Xu Z, Yam C, Son JB, Ma J, Tamir JI, Rauch GM, Yankeelov TE. Developing MRI-based digital-twins via mathematical modeling and deep learning to predict the response of triple-negative breast cancer to neoadjuvant therapy. The 2023 Annual Meeting of American Association for Cancer Research (AACR):845, 2023. e-Pub 2023.
28. Guirguis MS, Adrada BE, Patel M, Perez F, Candelaria RP, Yang WT, Sun J, Mohamed RM, Boge M, Le-Petross H, Leung JW, Whitman GJ, Lane DL, Scoggins ME, Moseley TW, Musall B, White J, Zhou Z, Wei P, Son JB, Hwang KP, Panthi B, Pagel MD, Huo L, Hunt K, Ravenberg E, Thompson A, Litton JJ, Valero V, Tripathy D, Moulder S, Yam C, Ma J, Rauch GM. DCE-MRI for early prediction of excellent response versus chemoresistance in triple negative breast cancer. The 2022 San Antonio Breast Cancer Symposium (SABCS), 2022. e-Pub 2022.
29. Mohamed RM, Panthi B, Adrada BE, Candelaria RP, Guirguis MS, Yang WT, Boge M, Patel M, Elshafeey NA, Pashapoor S, Zhou Z, Son JB, Hwang KP, Whitman GJ, Xu Z, Lane DL, Le-Petross H, Leung JW, Moseley TW, Scoggins ME, Perez F, White J, Chen H, Sun J, Wei P, Litton JJ, Valero V, Tripathy D, Yam C, Pagel MD, Ma J, Rauch GM. Multi-Parametric MRI-Based Radiomics Models from Tumor and Peritumoral Regions as Potential Predictors of Treatment Response to Neoadjuvant Systemic Therapy in Triple Negative Breast Cancer Patients. The 2022 San Antonio Breast Cancer Symposium (SABCS), 2022. e-Pub 2022.
30. Panthi B, Mohamed RM, Pashapoor S, Adrada BE, Candelaria RP, Guirguis MS, Yang WT, Boge M, Patel MM, Elshafeey N, Zhou Z, Son JB, Hwang KP, Le-Petross HC, Leung JWT, Scoggins ME, Whitman GJ, Xu Z, Lane DL, Moseley T, Perez F, White J, Ravenberg E, Clayborn A, Pagel MD, Chen H, Sun J, Wei P, Thompson A, Moulder S, Korkut A, Huo L, Kunt KK, Litton JK, Valero V, Tripathy D, Yam C, Ma J, Rauch GW. Longitudinal DCE-MRI Radiomic Models for Early Prediction of Response to Neoadjuvant Systemic Therapy (NAST) in Triple Negative Breast Cancer (TNBC) Patients. The 2022 San Antonio Breast Cancer Symposium (SABCS), 2022. e-Pub 2022.
31. Stowers CE, Wu C, Jarrett AM, EABF L, Xu, Z, Ma J, Rauch G, Yankeelov TE. Developing MRI-based digital-twins via hybrid modeling and data assimilation to predict triple-negative breast cancer response to neoadjuvant chemotherapy. The 2022 UT-Austin and MD Anderson Collaborative Research Summit, 2022. e-Pub 2022.
32. Guirguis MS, Adrada BE, Patel M, Perez F, Candelaria RP, Yang WT, Sun J, Mohamed RM, Boge M, Le-Petross H, Leung JW, Whitman GJ, Lane DL, Scoggins ME, Moseley TW, Musall B, White J, Zhou Z, Wei P, Son JB, Hwang KP, Panthi B, Pagel MD, Huo L, Hunt K, Ravenberg E, Thompson A, Litton JJ, Valero V, Tripathy D, Moulder S, Yam C, Ma J, Rauch GM. Early Prediction of Chemoresistance Versus Excellent Response in Triple Negative Breast Cancer Patients with DCE-MRI. The 2022 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2022. e-Pub 2022.
33. Zhou Z, Adrada BE, Candelaria RP, Mohamed RM, Pashapoor S, Panthi B, Son JB, Xu Z, Hwang K, Guirguis MS, Yang WT, Whitman GJ, Lane DL, Le-Petross H, Leung JW, Moseley TW, Scoggins ME, Patel M, Perez F, White J, Litton JJ, Valero V, Tripathy D, Yam C, Pagel MD, Rauch GM, Ma J. Deep learning using pre-treatment MRIs and clinical information for prediction of pathologic complete response to neoadjuvant systemic therapy in triple-negative breast cancer. The 2022 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2022. e-Pub 2022.
34. Adrada BE, Guirguis MS, Patel M, Perez F, Candelaria RP, Yang WT, Sun J, Mohamed RM, Boge M, Le-Petross H, Leung JW, Whitman GJ, Lane DL, Scoggins ME, Moseley TW, Musall B, White J, Zhou Z, Wei P, Son JB, Hwang KP, Panthi B, Pagel MD, Huo L, Hunt K, Thompson A, Ravenberg E, Litton JJ, Valero V, Tripathy D, Moulder S, Yam C, Ma J, Rauch GM. Development of a combined model for early prediction of pathologic complete response (pCR) in Triple Negative Breast Cancer (TNBC) undergoing neoadjuvant therapy (NAT). The 2022 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2022. e-Pub 2022.
35. Mohamed RM, Panthi B, Adrada BE, Candelaria RP, Guirguis MS, Yang WT, Boge M, Patel M, Elshafeey NA, Pashapoor S, Zhou Z, Son JB, Hwang KP, Whitman GJ, Xu Z, Lane DL, Le-Petross H, Leung JW, Moseley TW, Scoggins ME, Perez F, White J, Chen H, Sun J, Wei P, Litton JJ, Valero V, Tripathy D, Yam C, Pagel MD, Ma J, Rauch GM. Multi-Parametric MRI-Based Radiomics Models for Early Neoadjuvant Systemic Treatment Response Prediction in Triple Negative Breast Cancer (TNBC). The 2022 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2022. e-Pub 2022.
36. Stowers CE, Wu C, Kumar S, Jarrett AM, EABF L, Xu, Z, Ma J, Tamir JI, Rauch G, Yankeelov TE. Developing MRI-based digital-twins via hybrid modeling and data assimilation to predict triple-negative breast cancer response to neoadjuvant chemotherapy. The 2022 Annual MDACC-TACC-Oden Institute Research Retreat, 2022. e-Pub 2022.
37. Wu C, Stowers C, Jarrett AM, Zhou Z, Ma J, Rauch GM, Yankeelov TE. MRI-based digital twins forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer. 2022 International Society of Magnetic Resonance in Medicine (ISMRM) Cancer Workshop, 2022. e-Pub 2022.
38. Wu C, Jarrett AM, Zhou Z, Ma J, Rauch GM, Yankeelov TE. Forecasting patient-specific treatment response to neoadjuvant chemotherapy in triple-negative breast cancer via MRI-based digital twins. 2022 National Cancer Institute (NCI) Junior Investigator Meeting, 2022. e-Pub 2022.
39. Wu C, Jarrett AM, Zhou Z, Elshafeey N, Candelaria RP, Mohamed R, Boge M, Huo L, White J, Tripathy D, Valero V, Litton J, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Forecasting treatment response to neoadjuvant therapy in triple-negative breast cancer via an image-guided digital twin. 2022 Annual Meeting of American Association for Cancer Research (AACR):2736, 2022. e-Pub 2022.
40. Son JB, Hwang KP, Rauch D, Ahn JH, Lee J, Zhou Z, Panthi B, Adrada B, Candelaria RP, White J, Guiguis M, Mohamed RM, Ravenberg E, Yam C, Tripathy D, Ma J. Predicting breast cancer treatment response using a hybrid deep learning network on multislice SyntheticMR images. 2022 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:4480, 2022. e-Pub 2022.
41. Sanders J, Wang L, Poenisch F, Sahoo N, Zhu X, Ma J, Choi S, Nhuyen Q, Mok H, Tang C, Crabtree K, McGuire S, Hoffman K, Shah S, Frank S. A multimodality, MRI positive-contrast fiducial marker for prostate cancer treatment: first-in-patient experience with proton therapy. 2022 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:224, 2022. e-Pub 2022.
42. Palmquist S, Salem U, Stanietzky N, Sun J, Wang X, Bayram E, Hwang KP, Son JB, Wei P, Ernst R, Kaur H, Ma J. 3D T2-Weighted Rectal Cancer Imaging using a 3D Fast Spin Echo Sequence with Deep Learning Reconstruction. 2022 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3383, 2022. e-Pub 2022.
43. Zhou Z, Panthi B, Rauch D, Son JB, Wu C, Lin S, Pagel M, Ma J. A cross-modality deep learning model for esophageal cancer segmentation and quantitation on 18F-FDG PET/CT and diffusion weighted MRI. 2022 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3382, 2022. e-Pub 2022.
44. Wang X, Ersoz A, Litwiller D, Ma J, Stafford J, Bayram E. Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction. 2022 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3919, 2022. e-Pub 2022.
45. Wu C, Jarrett AM, Zhou Z, Elshafeey NA, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Huo L, White JB, Tripathy D, Valero V, Litton J, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Forecasting treatment response to neoadjuvant therapy in triple-negative breast cancer via an image-guided digital twin. American Association for Cancer Research (AACR) Annual Meeting 2022, 2022. e-Pub 2022.
46. Park PYS, Gao M, Wang X, Hwang H, Surasi DS, Anderson M, Ibarra JR, Javadi S, Morani A, Szklaruk J, Marcal L, Surabhi V, Bhosale P, Adibi M, Chapin BF, Chery LJ, Davis JW, Papadopoulos JN, Pettaway CA, Ward JF, Ma J, Tang C, Choi S, Zhang M, Pisters L, Troncoso P, Bathala TK. Diagnostic performance of multiparametric MRI in the evaluation of radio-recurrent prostate cancer using the Prostate Imaging for Recurrence Reporting guidelines (PI-RR) and histopathologic correlation. The 2022 Annual Meeting of Society of Abdominal Radiology (SAR), 2022. e-Pub 2022.
47. Wu C, Jarrett AM, Zhou Z, Elshafeey NA, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Huo L, White JB, Tripathy D, Valero V, Litton J, Yam C, Son JB, Ma J, Rauch GM, Yankeelov TE. Forecasting treatment response to neoadjuvant systemic therapy in triple negative breast cancer via mathematical modeling and quantitative MRI. The 2021 San Antonio Breast Cancer Symposium (SABCS), 2021. e-Pub 2021.
48. Elshafeey NA, Hwang KP, Adrada BE, Candelaria RP, Boge M, Mohamed RMM, Chen H, Sun J, Yang W, Kotrotsou, A, Musall B, Son JB, Zhou Z, Whitman GJ, Leung JWT, Le-Petross HC, Santiago L, Lane DL, Scoggins ME, Spak DA, Guirguis MS, Patel MM, Perez F, Abdelhafez AH, White JB, Huo L Ravenberg E, Wei P, Thompson A, Damodaran S, Tripathy D, Moulder SL, Yam C, Pagel MD, Ma J, Rauch GM. Radiomics model based on Magnetic Resonance Image Compilation (MagIC) as early predictor of pathologic complete response to neoadjuvant systemic therapy in triple-negative breast cancer. The 2021 San Antonio Breast Cancer Symposium (SABCS), 2021. e-Pub 2021.
49. Zhou Z, Elshafeey NA, Rauch DE, Adrada BE, Candelaria RP, Guirguis MS, Yang W, Boge M, Mohamed RMM, Whitman GJ, Lane DL, Le-Petross HC, Leung JWT, Santiago L, Scoggins ME, Spak DA, Patel MM, Perez F, Tripathy D, Valero V, Yam C, Moulder SL, White JB, Son JB, Pagel MD, Ma J. Deep learning for early prediction of neoadjuvant chemotherapy response in triple negative breast cancers. The 2021 San Antonio Breast Cancer Symposium (SABCS), 2021. e-Pub 2021.
50. Rauch GM, Candelaria RP, Guirguis MS, Boge M, Mohamed RMM, Elshafeey NA, Sun J, Whitman GJ, Leung JWT, Le-Petross HC, Santiago L, Lane DL, Scoggins ME, Spak DA, Patel MM, Perez F, White J, Ravenberg E, Son JB, Hwang KP, Zhou Z, Musall B, Wei P, Tripathy D, Valero V, Litton J, Huo L, Yam C, Thompson A, Ma J, Moulder S, Yang W, Adrada BE. Integrated model for early prediction of neoadjuvant systemic therapy response in Triple Negative Breast Cancer. The 2021 San Antonio Breast Cancer Symposium (SABCS), 2021. e-Pub 2021.
51. Guirguis MS, Adrada BE, Candelaria RP, Sun J, Whitman GJ, Yang WT, Boge M, Mohamed RMM, Elshafeey NA, Lane DL, Le-Petross HC, Leung JWT, Santiago L, Scoggins ME, Spak DA, Patel MM, Perez F, Musall BC, Wei P, Tripathy D, White JB, Ravenberg E, Huo L, Litton J, Arun B, Valero V, Thompson A, Ma J, Moulder SL, Yam C, Rauch GM. Prediction of response to neoadjuvant systemic therapy in triple negative breast cancer using baseline tumor MRI characteristics and imaging patterns of response. The 2021 San Antonio Breast Cancer Symposium (SABCS), 2021. e-Pub 2021.
52. Wu C, Yankeelov T, Rauch GM, Ma J, Jarrett AM, Zhou Z, Elshafeey NA. Image-informed Mathematical Modeling to Predict Patient-Specific Treatment Response to Neoadjuvant Systemic Therapy in Triple Negative Breast Cancer. The Computational Approaches for Cancer Workshop 2021 (CAFCW21), 2021. e-Pub 2021.
53. Rauch GM, Candelaria RP, Guirguis MS, Sun J, Elshafeey NA, Yang W, Boge M, Mohamed RM, Whitman GJ, Lane DL, Le-Petross HC, Leung JWT, Santiago L, Scoggins ME, Spak DA, Patel MM, Perez F, Musall B, White J, Wei P, Zhou Z, Pagel M, Ma J, Ravenberg E, Thompson A, Huo L, Litton J, Valero V, Tripathy D, Yam C, Moulder S, Adrada BE. A composite model for pathologic complete response (pCR) prediction in Triple Negative Breast Cancer (TNBC). The 2021 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2021. e-Pub 2021.
54. Zhou Z, Elshafeey NA, Rauch DE, Adrada BE, Candelaria RP, Guirguis MS, Yang W, Boge M, Mohamed RM, Whitman GJ, Lane DL, Le-Petross HC, Leung JWT, Santiago L, Scoggins ME, Spak DA, Patel MM, Perez F, White J, Son JB, Pagel MD, Rauch G, Ma J. Prediction of Pathological Complete Response to Neoadjuvant Systemic Therapy of Triple Negative Breast Cancers via Deep Learning. The 2021 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2021. e-Pub 2021.
55. Rauch GM, Guirguis MS, Candelaria RP, Sun J, Elshafeey NA, Yang W, Boge M, Mohamed RM, Whitman GJ, Lane DL, Le-Petross HC, Leung JWT, Santiago L, Scoggins ME, Spak DA, Patel MM, Perez F, Musall B, White J, Zhou Z, Wei P, Pagel M, Ma J, Damodaran S, Ravenberg E, Thompson A, Litton J, Valero V, Tripathy D, Yam C, Moulder S, Adrada BE. Early prediction of chemoresistance versus excellent response in triple negative breast cancer patients (TNBC) with DCE-MRI. The 2021 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2021. e-Pub 2021.
56. Wang L, Poenisch F, Sanders J, Sahoo N, Zhu XR, Ma J, Choi S, Nguyen QN, Mok H, Tang C, McGuire S, Hoffman K, Shah SJ, Frank S. The Dosimetric Effect of MRI Positive-contrast Markers versus Negative-contrast Fiducial Markers on Proton Radiation. 2021 Annual Meeting of the American Society for Radiation Oncology, 2021. e-Pub 2021.
57. Saleh M, Javadi S, Mathew M, Son JB, Sun J, Bayram E, Wang X, Ma J, Szklaruk J, Bhosale P. T2-weighted Pelvic MR Imaging Using PROPELLER with Deep Learning Reconstruction for Improved Motion Robustness. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
58. Son JB, Rauch D, Panthi B, Zhou Z, Musall B, Scoggins M, Pagel M, Ma J. The video domain transfer deep learning network with error correction for Dixon Imaging with consistent slice-to-slice water and fat separation. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
59. Zhang S, Wang X, Schuler FW, Lebel RM, Miyoshi M, Bayram E, Vinogradov E, Johnson J, Ma J, Pagel M. Deep Learning-based image reconstruction improves CEST MRI. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
60. Slavkova K, DiCarlo J, Wadhwa V, Ma J, Rauch G, Zhou Z, Yankeelov T, Tamir J. Implementing ConvDecoder with physics-based regularization toreconstruct under-sampled variable-flip angle MRI data of the breast. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
61. Elshafeey N, Rauch G, Kotrotsou A, Adrada B, Candelaria R, Abdelhafez A, Chen H, Sun J, Boge M, Mohamed R, Musall B, Son JB, Zhang S, White J, Willis B, Ravenberg E, Peng W, Moulder S, Yang W, Pagel M, Ma J, Hwang KP. Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
62. Zhou Z, Rauch D, Son JB, Musall B, Elshafeey N, White J, Pagel M, Moulder S, J M. Early prediction of pathologic complete response to neoadjuvant systemic therapy for triple-negative breast cancer using deep learning. 2021 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2021. e-Pub 2021.
63. Rigaud BSH, Rauch GM, Ning MS, Ma J, Vedam S, Davis R, Klopp AH, Stafford J, Brock KK. Performance of Intra-procedural Apparent Diffusion Coefficient Imaging during MRI Guided Cervical Cancer Brachytherapy Implant Placement: Opportunities for Image-Guided Adaptive Radiotherapy. The 2021 Annual Meeting of Society of Abdominal Radiology (SAR), 2021. e-Pub 2021.
64. Zhang S, Rauch GM, Adrada BE, Boge M, Mohamed RMM, Abdelhafez AH, Son JB, Sun J, Yang W, Elshafeey NA, White JB, Lane DL, Leung JWT, Scoggins ME, Spak DA, Arribas W, Ravenberg E, Santiago L, Moseley TW, Whitman GJ, Le-Petross H, Musall BC, Miyoshi M, Wang X, Willis B, Hash S, Kotrotsou A, Wei P, Hwang KP, Moulder SL, Candelaria RP, Ma J, Pagel MD. Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST) MRI: A pilot study. The 2020 San Antonio Breast Cancer Symposium (SABCS), 2020. e-Pub 2020.
65. Elshafeey N, Adrada BE, Candelaria RP, Abdelhafez AH, Musall BC, Sun J, Boge M, Mohamed RMM, Mahmoud HS, Son JB, Kotrotsou A, Zhang S, Leung JWT, Lane DL, Scoggins ME, Spak DA, Arribas E, Santiago L, Whitman GJ, Le-Petross HT, Moseley TW, White JB, Ravenberg E, Hwang KP, Wei P, Litton JK, Huo L, Tripathy D, Valero V, Thompson AM, Moulder S, Yang WT, Pagel MD, Ma J, Rauch GM. Radiomic phenotypes from Dynamic Contrast-Enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in Triple Negative Breast Cancer (TNBC) patients. The 2020 San Antonio Breast Cancer Symposium (SABCS), 2020. e-Pub 2020.
66. Rauch GM, Adrada BE, Candelaria RP, Elshafeey N, Abdelhafez AH, Musall BC, Sun J, Boge M, Mohamed RMM, Son JB, Zhang S, Leung JWT, Lane DL, Scoggins ME, Spak DA, Arribas E, Santiago L, Whitman GJ, Le-Petross HT, Moseley TW, White JB, Ravenberg E, Hwang KP, Wei P, Litton JK, Huo L, Tripathy D, Valero V, Thompson AM, Pagel MD, Ma J, Yang WT, Stacy Moulder S. Volumetric changes on longitudinal Dynamic Contrast Enhanced MR Imaging (DCE-MRI) as an early treatment response predictor to Neoadjuvant Systemic Therapy (NAST) in Triple Negative Breast Cancer (TNBC) Patients. The 2020 San Antonio Breast Cancer Symposium (SABCS), 2020. e-Pub 2020.
67. Zhang S, Rauch GM, Adrada BE, Abdelhafez AH, Son JB, Yang WT, Sun J, Boge M, Mohamed R, Elshafeey NA, White JB, Musall BC, Santiago L, Moseley TW, Whiteman G, Le-Petross H, Ravenberg E, Miyoshi M, Wang X, Kotrotsou A, Peng W, Hwang KP, Candelaria RP, Moulder SL, Ma J, Pagel MD. Comparison of Chemical Exchange Saturation Transfer (CEST) MRI acquisition and analysis for early neoadjuvant systemic therapy (NAST) treatment response assessment in triple negative breast cancer (TNBC). The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
68. Hwang KP, Vikram R, Ernst R, Rauch GM, Devine C, Ma J, and Kaur H. Quality Improvement and Troubleshooting in Rectal MRI - How We Do It. The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
69. Qayyum A, Avritscher R, Ma J, Pagel MD, Sun J, Mohammed YI, Hassan M, Amin H, Rashid A, Aslam R, Lee S, Wolff R, Yao J, Ehman R, Duda D, Kaseb A. Evaluation of Response to Immune Checkpoint Blockade Using MRI/MR Elastography in Surgical and Non-Surgical Patients with HCC. The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
70. Zhang S, Rauch GM, Adrada BE, Boge M, Mohamed R, Yang WT, Elshafeey NA, Sun J, Abdelhafez AH, Son JB, White JB, Lane DL, Leung J, Scoggins ME, Spak DA, Arribas E, Ravenberg E, Musall BC, Miyoshi M, Wang X, Willis B, Hash S, Kotrotsou A, Peng W, Hwang KP, Moulder SL, Candelaria RP, Ma J, Pagel MD. Assessment of early response to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC) using Chemical Exchange Saturation Transfer (CEST) MRI: pilot study. The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
71. Zhang S, Rauch G, Adrada B, Boge M, Mohamed R, Abdelhafez A, Son JB, Sun J, Elshafeey N, White J, Musall B, Miyoshi M, Wang X, Kotrotsou A, Wei P, Hwang KP, Ma J, Pagel MD. Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC). CEST 2020: 8th International Workshop on Chemical Exchange Saturation Transfer Imaging, 2020. e-Pub 2020.
72. Elshafeey NA, Adrada BE, Kotrosou A, Abdelhafez AH, Sun J, Yang WT, Mohamed R, Boge M, Mahmoud HS, Musall BC, Son JB, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Zang S, White JB, Moulder SL, Hwang KP, Wei P, Candelaria RP, Pagel MD, Ma J, Rauch GM. Radiomic phenotypes from ultrafast dynamic contrast enhanced (DCE) MRI for prediction of the treatment response to neoadjuvant systemic therapy (NAST) of Triple Negative Breast Cancer (TNBC). The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
73. Musall BC, Abdelhafez AH, Adrada BE, Son JB, Sun J, Yang WT, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Mahmoud HS, White JB, Hwang KP, Elshafeey NA, Mohamed R, Boge M, Kotrosou A, Wei P, Moulder SL, Candelaria RP, Pagel MD, Ma J, and Rauch GM. Radiomic Features of Quantitative Apparent Diffusion Coefficient (ADC) Maps from Peritumoral Regions (PTRs) as Predictors of Early Treatment Response to Neoadjuvant Systemic Therapy (NAST) in Triple Negative Breast Cancer (TNBC). The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
74. Rauch GM, Adrada BE, Candelaria RP, Elshafeey NA, Mohamed R, Boge M, Moseley TW, Whitman GJ, Le-Petross H, Santiago L, Musall BC, Kotrotsou A, Sun J, Son JB, White JB, Zhang S, Hwang KP, Wei P, Moulder SL, Pagel MD, Ma J, Yang WT. Longitudinal MR Imaging Findings in Triple Negative Breast Cancer (TNBC) Patients undergoing Neoadjuvant Systemic Therapy (NAST) Stratified by Tumor Infiltrating Lymphocytes (TIL) Levels. The 2020 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2020. e-Pub 2020.
75. Zhang S, Wang X, Schuler FW, Lebel RM, Miyoshi M, Bayram E, Vinogradov E, Johnson JM, Ma J, Pagel MD. Deep Learning-base image reconstruction improves CEST MRI. CEST 2020: 8th International Workshop on Chemical Exchange Saturation Transfer Imaging, 2020. e-Pub 2020.
76. Sanders JW, Frank SJ, Venkatesan AM, Levitt CA, Bathala T, Kudchadker RJ, Tang C, Bruno TL, Starks C, Santiago E, Wells M, Weaver CP, Ma J. Fully balanced SSFP for MRI-assisted radiosurgery (MARS) without an endorectal coil: a prospective imaging study. The 62nd Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2020. e-Pub 2020.
77. Zhou Z, Xu G, Son JB, Ma J. Computer-aided detection of mantle cell lymphoma in whole body 18F-FDG PET/CT using deep convolutional neural networks. The 2020 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, 2020. e-Pub 2020.
78. Son JB, Hwang KP, Scoggins ME, Dogan BE, Rauch GM, Pagel MD, Ma J. Water and Fat Separation with a Dixon Conditional Generative Adversarial Network (DixonCGAN). 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
79. Wang X, Son JB, Bhosale P, Qayyum A, Ibarra-Rovira JJ, Hwang KP, Stafford J, Pagel MD, Lebel M, Bayram E, Ma J, Szklaruk J. High Resolution Prostate T2-weighted MRI with Deep Learning and without an Endorectal Coil. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
80. Musall BC, Abdelhafez AH, Mahmoud HS, Hwang KP, Son JB, Pagel MD, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Candelaria RP, Helgason T, Ravenberg EE, Litton JK, Moulder SL, Yang WT, Ma J, Rauch GM, Adrada BE. Diffusion Fractional Anisotropy in Peritumoral Edema of Triple Negative Breast Cancer. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
81. Zhang S, Wang X, Schuler FW, Lebel RM, Miyoshi M, Bayram E, Vinogradov E, Johnson JM, Ma J, Pagel MD. Deep Learning Reconstruction Improves CEST MRI. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
82. Son JB, Pagel MD, Ma J. 3D MRI Processing Using a Video Domain Transfer Deep Learning Neural Network. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
83. Hwang KP, Wang X, Lebel M, Johansson P, Petersen C, Warntjes M, Bayram E, Banerjee S, Ma J, Johnson JM. Deep Learning Based Image Reconstruction for Improved Multiparameter Mapping and Synthetic MRI. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
84. Zhang S, Abdelhafez AH, Son JB, Musall BC, Miyoshi M, Wang X, Hwang KP, Rauch GM, Ma J, Pagel MD. Optimized CEST Acquisition and Analysis for Treatment Assessment of Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
85. Sanders JW, Johnson JM, Chen HS, Chen M, Gule-Monroe M, Zhou Z, Briere TM, Li J, Ma J, Liu H. An Anatomic Atlas of Brain Metastases: Probability Maps Based on 13 Primary Cancer Subtypes from Post-Contrast T1-Weighted MRI of 955 Patients. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
86. Sanders JW, Johnson JM, Son JB, Zhou Z, Chen HS, Yung J, Stafford J, Chen M, Monroe MG, Liu HL, Pagel MD, Ma J. Rapid Brain Segmentation in T1w MRI with Fully Convolutional Networks: Development and Comparison of Different Network Constructions. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
87. Sanders JW, Frank SJ, Venkatesan AM, Bathala T, Tang C, Kudchadker RJ, Bruno TL, Pagel MD, Ma J. Parallel imaging compressed sensing for prostate cancer brachytherapy postimplant MRI without an endorectal coil: a prospective study. 2020 World Congress of Brachytherapy, 2020. e-Pub 2020.
88. Hwang KP, Wang X, Ernst RD, Palmquist SM, Lebel M, Rauch GM, Chang GJ, Messick C, Taggart MW, Bayram E, Ma J, Kaur H. Deep Learning Based Image Reconstruction for T2-Weighted Rectal Cancer Imaging. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
89. Sanders JW, Venkatesan AM, Davis J, Kudchadker RJ, Tang C, Bruno TL, Ma J, Frank SJ. Computer aided brachytherapy: assisting the practice of prostate brachytherapy with machine learning. 2020 World Congress of Brachytherapy, 2020. e-Pub 2020.
90. Zhou Z, Sanders JW, Johnson JM, Briere TM, Pagel MD, Li J, Ma J. Computer-Aided Detection and Segmentation of Brain Metastases in MRI for Stereotactic Radiosurgery Via a Deep Learning Ensemble. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
91. Son JB, Hwang KP, Scoggins ME, Dogan BE, Rauch GM, Pagel MD, Ma J. Semi-Supervised Image Domain Transfer for Dixon Water and Fat Separation. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
92. Qayyum A, Avritscher R, Aslam R, Ma J, Pagel MD, Sun J, Mohammed YI, Hassan M, Amin H, Rashid A, Lee S, Wolff RA, Yao JC, Ehman RL, Duda GD, Kaseb AO. Immune Checkpoint Blockade (ICB) Response Evaluation with MRI/MR Elastography (MRE) in Surgical and Non-Surgical Patients with HCC. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
93. Sanders JW, Frank SJ, Venkatesan AM, Bathala TK, Tang C, Kudchadker RJ, Bruno TL, Pagel MD, Ma J. Parallel Imaging Compressed Sensing in Fully Balanced SSFP for Prostate Brachytherapy MRI without an Endorectal Coil: A Prospective Study. 2020 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2020. e-Pub 2020.
94. Qayyum A, Avritscher R, Aslam R, Ma J, Pagel MD, Sun J, Abugabal YI, Hassan M, Amin HM, Rashid A, Lee SS, Wolff RA, Yao JC, Ehman R, Duda DG, Kaseb AO. Immune Checkpoint Blockade (ICB) Response Evaluation with MRI/MR Elastography (MRE) in Surgical and Non-Surgical Patients with HCC. The 2020 Gastrointestinal Cancers Symposium of the American Society of Clinical Oncology, 2020. e-Pub 2020.
95. Abdelhafez AH, Adrada BE, Musall BC, Hess KR, Son JB, Pagel MD, Hwang KP, Candelaria RP, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Arribas E, Lane DL, Scoggins ME, Spak DA, Leung JWT, Damodaran S, Lim B, Valero V, White J, Thompson AM, Litton JK, Moulder SL, Ma J, Yang WT, Rauch GM. Quantitative Apparent Diffusion Coefficient (ADC) Radiomics of Tumor and Peritumoral Regions as Potential Predictors of Treatment Response to Neoadjuvant Chemotherapy (NACT) in Triple Negative Breast Cancer (TNBC) Patients. The 2019 San Antonio Breast Cancer Symposium (SABCS), 2019. e-Pub 2019.
96. Rauch GM, Abdelhafez AH, Musall BC, Hess KR, Son JB, Pagel MD, Hwang KP, Candelaria RP, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Arribas E, Lane DL, Scoggins ME, Spak DA, Leung JWT, Damodaran S, Lim B, Valero V, White J, Thompson AM, Litton JK, Moulder SL, Ma J, Yang WT, Adrada BE. Radiomics of Quantitative Apparent Diffusion Coefficient (ADC) from Fibroglandular Tissue (FGT) for prediction of Tumor Infiltrating Lymphocytes (TIL) levels and Neoadjuvant Chemotherapy Treatment (NACT) Response in Triple Negative Breast Cancer (TNBC). The 2019 San Antonio Breast Cancer Symposium (SABCS), 2019. e-Pub 2019.
97. Javadi S, Faria SC, Kundra V, Ma J, Bhosale P. Role of PET/MRI in staging of cervical cancer under the newly updated FIGO staging system. The 2019 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2019. e-Pub 2019.
98. Musall BC, Ma J, Adrada BE, Hafez AA, Candelaria RP, Yang WT, Hess KR, Santiago L, Whitman GJ, Le-Petross, Moseley TW, Arribas E, Lane DL, Leung JWT, Pagel MD, Hwang KP, Son J, White JB, Litton JK, Damodaran S, Lim B, Mahmoud HS, Megahed A, Thompson AM, Moulder SL, Rauch GM. Quantitative Tumor Volumes by Fast Dynamic Contrast Enhanced (DCE) MRI Predict Pathologic Complete Response (pCR) to Neoadjuvant Chemotherapy (NACT) In Triple Negative Breast Cancer (TNBC). The 2019 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2019. e-Pub 2019.
99. Hafez AA, Adrada BE, Musall BC, Ma J, Candelaria RP, Yang WT, Hess KR, Santiago L, Whitman GJ, Le-Petross H, Moseley T, Arribas E, Lane DL, Leung JWT, Pagel MD, Hwang KP, Son J, Litton JK, Damodaran S, Lim B, Abdelhafez AH, Valero V, Thompson AM, Moulder SL, Rauch GM. Tumor Necrosis at Baseline Dynamic Contrast Enhanced (DCE) MRI for Prediction of Neoadjuvant Chemotherapy Treatment (NACT) Response in Triple Negative Breast Cancer (TNBC) Patients. The 2019 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2019. e-Pub 2019.
100. Szklaruk J, Son J, Sun J, Starr B, Bhosale P, Ma J. New Radial Technique for the Calculation of T2 Relaxation Time in Liver MRI. The 2019 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2019. e-Pub 2019.
101. Qayyum A, Avritscher R, Morani AC, Aslam R, Sun J, Carmagnani R, Hwang KP, Hassan M, Rashid A, Ma J, Ehman R, Kaseb A. Immunotherapy Response Evaluation with Magnetic Resonance Elastography (MRE) in Advanced HCC. The 2019 Annual Scientific Meeting of Radiological Society of North America (RSNA), 2019. e-Pub 2019.
102. Zhou Z, Sanders J, Johnson JM, Guha-Thakurta N, Chen M, Briere TM, Wang Y, Son JB, Li J, Ma J. Machine Learning Based Detection of Brain Cancer Metastases in MR Images for Stereotactic Radiosurgery Using Single-shot Detectors. 2019 Annual Meeting of the American Society for Radiation Oncology, 2019. e-Pub 2019.
103. van Rossum PSN, Fang P, Musall B, Son JB, Fellman B, Hobbs B, Ma J, Lin SH. Final Trial Results of Repeated Diffusion-Weighted MRI and FDG-PET Imaging for the Prediction of Response to Chemoradiation Therapy in Esophageal Cancer. 2019 Annual Meeting of the American Society for Radiation Oncology, 2019. e-Pub 2019.
104. Park, PC, Choi, GW, Zaid M, M, Elganainy, D, Smani, DA, Tomich, J, Samaniego, R, Ma, J, Tamm, EP, Beddar, S, Koay, EJ. Enhancement pattern mapping technique for improving contrast-to-noise ratios and detectability of hepatobiliary tumors on multiphase computed tomography. Medical Physics, 2019. e-Pub 2019. PMID: 31449684.
105. Sanders JW, Frank SJ, Ma J. Parallel imaging compressed sensing in fully balanced SSFP for prostate brachytherapy MRI: pulse sequence development and validation in a phantom study. The 61st Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2019. e-Pub 2019.
106. Sanders JW, Frank SJ, Lewis G, Kudchadker RJ, Bruno TL, Ma J. Multi-tasking neural networks for anatomy segmentation in prostate brachytherapy MRI. The 2019 Annual Meeting of the American Brachytherapy Society, 2019. e-Pub 2019.
107. Thaker N, Pasalic D, Ning MS, Tang C, Anscher MS, Bathala TK, Kudchadker R, Ma J, Venkatesan AM, Wang J, Stafford RJ, Feeley TW, Frank SJ. Defining the Value of MRI-Assisted Radiosurgery (MARS) for Prostate Brachytherapy: A Pilot Study Using Time-Driven Activity-Based Costing. The 2019 Annual Meeting of the American Brachytherapy Society, 2019. e-Pub 2019.
108. Sanders JW, Frank S, Lewis G, Ma J. Comparison of 12 different constructs of pre-trained convolutional encoders for semantic segmentation in prostate brachytherapy MRI. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:1613, 2019. e-Pub 2019.
109. Hash S, Dogan BE, Arun B, Willis BJ, Son JB, Wei W, Candelaria R, Yang WT, Stafford RJ, Ma J, Scoggins M. High-Value of Short Breast MRI for Screening Patients at High Risk for Breast Cancer. The Society of MR Radiographers & Technologists (SMRT) 28th Annual Meeting, 2019. e-Pub 2019.
110. Musall BC, Adrada BE, Abdelhafez AH, Mahmoud HS, Hwang KP, Son JB, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Candelaria RP, Helgason T, Ravenburg EE, Litton JK, Moulder SL, Yang WT, Ma J, Pagel MD, Rauch GM. Quantitative ADC measurement of breast cancer with ssEPI and reduced FOV diffusion weighted imaging techniques. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2357, 2019. e-Pub 2019.
111. Szklaruk J, Bhosale P, Wang K, Cashen T, Ma J, Bayram E. Highly Accelerated Prospectively Gated Free Breathing Dynamic Abdominal Imaging with Cartesian Sampling. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:1161, 2019. e-Pub 2019.
112. Sanders J, Chen HS, Johnson JM, Schomer DF, Ma J, Liu HL. Synthesizing rCBV maps from DCE-MRI of brain tumors using conditional adversarial networks. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:393, 2019. e-Pub 2019.
113. Son JB, Scoggins ME, Dogan BE, Hwang KP, Ma J. Deep Neural Network for Single-Point Dixon Imaging with Flexible Echo Time. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:4014, 2019. e-Pub 2019.
114. Musall BC, Adrada BE, Abdelhafez AH, Mahmoud HS, Hwang KP, Son JB, Santiago L, Whitman GJ, Le-Petross H, Moseley TW, Candelaria RP, Lim B, Damodaran S, Litton JK, Moulder SL, Yang WT, Ma J, Pagel MD, Rauch GM. Optimized tumor volumes by dynamic contrast enhanced MR imaging for assessing response to neoadjuvant chemotherapy in triple negative breast cancer. 2019 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2356, 2019. e-Pub 2019.
115. Ferrone KL, Kry SF, Ma J, Peterson L, Guan F, Willis CE. Technology Development of Magnetic Space Radiation Shielding in the Context of the Space Policy Environment. The 2019 IEEE Aerospace Conference, 2019. e-Pub 2019.
116. Qayyum A, Avritscher R, Morani A, Sun J, Bhosale P, Hwang KP, Stafford RJ, Abugabal YI, Ma J, Kaseb AO. Immunotherapy Response Evaluation with MR Elastography (MRE) in Advanced HCC. The Gastrointestinal Cancers Symposium of the American Society of Clinical Oncology:241035, 2019. e-Pub 2019.
117. Sanders J, Fletcher J, Frank S, Liu HL, Johnson J, Stafford RJ, Fuentes D, Venkatesan A, Pagel M, Kudchadker R, Ma J. Deep Learning Application Engine (DLAE): end-to-end development and deployment of medical deep learning algorithms. 2018 ISMRM Workshop on Machine Learning Part II, 2018. e-Pub 2018.
118. Davila A, Son JB, Ma J, Musall B, Bhosale P. Assessing CNR and SNR of Abdominal Organs and Lesions on a Radial Turbo Spin Echo Sequence. The SCBT-MR 41st Annual Course, 2018. e-Pub 2018.
119. Musall B, Lin S, Fang P, Carter B, Son JB, Fellman B, Ma J. Does diffusion kurtosis imaging add value for early prediction of the response to neoadjuvant chemoradiation in esophageal cancer?. The 60th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2018. e-Pub 2018.
120. Ma J, Yang Y, Wen N. Advanced DWI: Applications for Radiation Oncology. The 60th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2018. e-Pub 2018.
121. Sanders J, Frank S, Ma J. SeedNet: a sliding-window convolutional neural network for radioactive seed detection and localization in MRI. 2018 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3421, 2018. e-Pub 2018.
122. Son JB, Costelloe C, Zhang T, Ma J. A Method for Automatically Determining an Optimal Kernel Size in ESPIRiT Reconstruction. 2018 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3508, 2018. e-Pub 2018.
123. Sanders J, Frank S, Bathala T, Venkatesan A, Anscher M, Tang C, Bruno T, Wei W, Ma J. Compressed Sensing for Prostate Cancer Brachytherapy Post-Implant MRI without an Endorectal Coil. The 2018 Annual Meeting of the American Brachytherapy Society:183, 2018. e-Pub 2018.
124. Hwang KP, Son JB, Banerjee S, Zhang T, Ma J, Rauch G, Warntjes M. 3D multi-parameter mapping of the breast with Dixon fat-water separation. 2018 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:5628, 2018. e-Pub 2018.
125. Sanders J, Frank S, Song H, Berner P, Venkatesan A, Ma J. Parallel imaging compressed sensing for MRI-only radiation dosimetry of post-implant prostate cancer brachytherapy. 2018 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3546, 2018. e-Pub 2018.
126. Musall B, Lin S, Fang P, Carter B, Moreno A, Son JB, Sanders J, Ma J. Automated contouring and ADC measurement of esophageal cancer with a fully convolutional network. 2018 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2521, 2018. e-Pub 2018.
127. Sanders J, Bruno T, Frank J, Ma J. SeedNet for Automated Detection and Localization of Radioactive Seeds in Post-Implant MRI: A Comparison with and without the use of An Endorectal Coil for Imaging. The 2018 Annual Meeting of the American Brachytherapy Society:307, 2018. e-Pub 2018.
128. Sanders J, Frank S, Ma J. Automated Seed Detection & Localization in MRI of the Prostate after Permanent Implant Brachytherapy Using a Sliding-Window Convolutional Neural Network. 2018 ISMRM Workshop on Machine Learning, 2018. e-Pub 2018.
129. Sanders J, Lewis G, Frank S, Ma J. A Fully Convolutional Network Utilizing Depth-Wise Separable Convolutions for Semantic Segmentation of Anatomy in MRI of the Prostate after Permanent Implant Brachytherapy. 2018 ISMRM Workshop on Machine Learning, 2018. e-Pub 2018.
130. Bathala TK, Venkatesan A, Ma J, Wei W, Kudchadker R, Wang J, Tang C, Bruno T, Frank SJ, Szklaruk J. Prostate MR sequence optimization for radiotherapy planning: Quality of 3D T2W SPACE vs. 2D T2W TSE in the evaluation of prostate and periprostatic anatomy. 2018 Society of Abdominal Radiology (SAR) Annual Scientific Meeting, 2018. e-Pub 2018.
131. Ma J. Protocol optimization for reducing the scan time of respiratory triggered T2-weighted turbo spin echo (TSE) imaging of abdomen. ISMRM Motion Correction Workshop, 2017. e-Pub 2017.
132. Lee J, Ma J, Carter B, Court L, Lin S. The Effectiveness of Deformable and Rigid-Body Registration on Estimating Pharmacokinetic Parameters of DCE-MRI of Esophageal Cancer Patients. The 59th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2017. e-Pub 2017.
133. Ding Y, Mohamed A, Wang J, Frank S, Ma J, Fuller C. Diffusion Kurtosis Magnetic Resonance Imaging of Oropharyngeal Cancer in Response to Chemoradiotherapy. The 59th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2017. e-Pub 2017.
134. Son JB, Rauch G, Hwang KP, and Ma J. An Automated Single-Scan Z-Spectrum Analysis Method for Amide Proton Transfer Imaging. The 39th Annual Intl Conf IEEE Engr in Med and Biol Soc:2425, 2017. e-Pub 2017.
135. Sanders J, Frank S, Venkatesan A, Bathala T, Szklaruk J, Blanchard P, Kudchadker R, Ma J. TrueFISP for Single Sequence MR-Only Post-Implant Dosimetry of Prostate Brachytherapy. The 59th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2017. e-Pub 2017.
136. Musall B, Ma J, Carter B, Fang P, Moreno A, Son JB, Hobbs B, Fellman B, Lin S. Quantitative ADC as an Early Imaging Biomarker of Response to Chemoradiation in Esophageal Cancer. 2017 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2913, 2017. e-Pub 2017.
137. Son JB, Costelloe C, Hwang KP, Zhang T, Bayram E, Hazle J, Ma J. Flexible Spin Echo Triple Echo Dixon (Flexible STED) for Fat Suppressed T1-Weighted Imaging. 2017 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:5197, 2017. e-Pub 2017.
138. Garza S, Sagebiel T, Wei W, Ma J, Bhosale P. Preoperative MRI of Uterine Malignant Mixed Mullerian Tumors Versus Endometrial Carcinomas with Emphasis on Dynamic Enhancement Characteristics. 2017 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2097, 2017. e-Pub 2017.
139. Sanders J, Frank S, Bathala T, Venkatesan A, Kudchadker R, Blanchard P, Martin G, Wang J, Berner P, Bruno T, Ma J. MRI-Based Prostate Brachytherapy – Imaging with and without an Endorectal Coil for Post-Implant Quality Assurance. The 2017 Annual Meeting of the American Brachytherapy Society, 2017. e-Pub 2017.
140. Farooqi A, Blanchard P, Bruno T, Kudchadker R, Wang J, Venkatesan A, Bathala T, Ma J, Frank S. Early Quality of Life Outcomes for MRI-assisted Prostate Brachytherapy Patients. The 2017 Annual Meeting of the American Brachytherapy Society, 2017. e-Pub 2017.
141. Scoggins M, Dogan B, Ma J, Wei W, Son JB, Candelaria RP. Short breast MRI screening trial in women at high-risk for breast cancer. Journal of Clinical Oncology, 2017. e-Pub 2017.
142. Ding Y, Mohamed A, Ma J, Frank S, Wang J, Fuller C. Diffusion Kurtosis Imaging for Oropharyngeal Cancer Detection. The 58th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2016. e-Pub 2016.
143. Ma J, Son JB, Arun B, Hazle J, Hwang KP, Wang K, Ersin Bayram E, Madewell J, Yang W, Dogan B. Short Breast MRI with High-Resolution T2-Weighted and Dynamic Contrast Enhanced T1-Weighted Images. The 58th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2016. e-Pub 2016.
144. Hwang KP, Ma J, Hou P, Liu HL, Wang K, Chi T. T1 Weighted 3D Cube with Dixon Water-Fat Separation for Imaging of the Orbits. 2016 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:1340, 2016. e-Pub 2016.
145. Song H, Hazle J, Ma J. Geometric Solution to the Fully Balanced SSFP Signals. 2016 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3203, 2016. e-Pub 2016.
146. Son JB, Shin S, Noeske R, Bayram E, Ma J, Choi H. Prostate MRSI with Reduced Acquisition Time and Improved Multichannel Spectral Processing. 2016 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3934, 2016. e-Pub 2016.
147. Hwang KP, Ma J, Estkowski L, Shimakawa A, Wang K, Litwiller D, Slavens Z, Bayram E, Daniel B. Silicone, Fat, and Water Separation Using a Single-Pass 3D Dixon Acquisition. 2016 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3265, 2016. e-Pub 2016.
148. Ma J, Son JB, Hwang KP, Dogan B. Silicone-Specific Imaging Using a Unipolar Flexible Fast Triple Echo Dixon Technique. 2016 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:572, 2016. e-Pub 2016.
149. Fang P, Hobbs B, Fellman BM, Son JB, Ma J, Lin SH. Early Apparent Diffusion Coefficient Change During Neoadjuvant Chemoradiation Predicts Pathologic and Clinical Response in Esophageal Cancer. International Journal of Radiation Oncology in Biology and Physics 96(2):E174, 2016. e-Pub 2016.
150. Yang L, Son JB, Ma J, Cheng S, Hazle J, Carter BW, Lin S. Quantitative ADC Measurement of Esophageal Cancer Before and After Chemoradiation. Med Phys 42(6):3579, 2015. e-Pub 2015. PMID: 26128770.
151. Son JB, Hazle J, Ma J. An optimized region growing algorithm for phase correction in MRI. 2015 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3769, 2015. e-Pub 2015.
152. Son JB, Hazle J, Ma J. In vivo MR imaging using a combined single-point Dixon and phase-sensitive inversion recovery technique. The 56th Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM):120-121, 2014. e-Pub 2014.
153. Hwang KP, Son JB, Warntjes M, Bayram E, Ma J. Fat-Water Separation in a Rapid Quantitative Mapping Sequence. 2014 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:3201, 2014. e-Pub 2014.
154. Son JB, Hwang KP, Madewell J, Bayram E, Hazle J, Ma J. An Extended Fast Spin-Echo Triple-Echo Dixon Technique with Flexible Echo Separations. 2014 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:2141, 2014. e-Pub 2014.
155. Son JB, Hazle J, Ma J. Jointly-Processing Fast Spin-Echo Triple-Echo Dixon Images with a Two-Point Dixon Phase Correction Algorithm. 2014 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:1655, 2014. e-Pub 2014.
156. Ma J, Son JB, Hazle J. A Parallelizable Multi-Threaded and Multi-Leveled Region-Growing Based Algorithm for Phase Correction in MRI. 2014 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine:1663, 2014. e-Pub 2014.
157. Benveniste A, Dogan BE, Fox PS, Ma J, Yang WT. Is There a Role for ADC Values in Predicting Breast Cancer Prognostic Factors?. Annual Scientific Meeting of Radiological Society of North America, 2013. e-Pub 2013.
158. Rambow O, Hazle JD, Clark J, Ma J. A Geometric interpretation of water-fat identification in two-point Dixon imaging without phase correction. 2013 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2013. e-Pub 2013.
159. Ma J, Hazle JD. A novel tiered, multi-threaded region growing algorithm for improved phase correction for two-point Dixon imaging. 2013 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2013. e-Pub 2013.
160. Hwang KP, Rambow O, Bayram E, Hazle JD, Madewell JE, Slavens ZW, Vu AT, Ma J. Improved single-pass dual echo Dixon imaging with ramp sampling and flexible echo times. 2013 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2013. e-Pub 2013.
161. Dogan BE, Ma J, Fox P, Guvenc I, Yang W. Do b-values and B0 affect the accuracy of ADC measurement in breast DW MRI?. The 113rd Annual Meeting of the American Roentgen Ray Society (ARRS), Washington, DC, 2013. e-Pub 2013.
162. Ma J. Managing fat in MRI: a technical perspective. Annual Scientific Meeting of American Association of Physicists in Medicine (AAPM), 2012. e-Pub 2012.
163. Lim TY, Ma J. Image-based determination of the fat signal model for Dixon water and fat imaging. 2012 Annual Scientific Meeting of the International Society of Magnetic Resonance in Medicine, 2012. e-Pub 2012.
164. Guvenc I, Whitman GJ, Liu P, Ma J, Dogan BE. DWI increases diagnostic accuracy of breast MRI for predicting axillary metastases in breast cancer patients. The annual scientific meeting of the Radiological Society of North America:Public ID: LL-BRS-TU2A, 2011. e-Pub 2011.
165. Dogan BE, Ma J, Whitman GJ. Optimizing clinical breast MRI: how to identify common artifacts and correct them. Proc Intl Soc Magn Reson Med:4636, 2011. e-Pub 2011.
166. Ma J. Two-point Dixon imaging with flexible echo times and a region growing-based postprocessing algorithm. Proc Intl Soc Magn Reson Med:2707, 2011. e-Pub 2011.
167. K-P H, Ma J. Feasibility of water-fat separation with diffusion weighted EPI. Proc Intl Soc Magn Reson Med:2706, 2011. e-Pub 2011.
168. Costelloe CM, Ma J, Madewell JE, Chasen BA, Rohren EM, Bassett RL, Kundra V. Fast Dixon-based whole body MRI: sensitivity and specificity in comparison with bone scan. 2011 Annual Meeting of Society of Skeletal Radiology, 2011. e-Pub 2011.
169. Low RN, Austin MJ, Ma J. Fast spin-echo triple echo Dixon: Initial clinical experience with a novel pulse sequence for simultaneous fat suppressed and non fat suppresses T-2 weighted spine MR imaging. Proc Intl Soc Magn Reson Med:4241, 2010. e-Pub 2010.
170. Costelloe C, Ma J, Madewell J, Harrell R, Bassett R, Kundra V. Conspicuity of bone lesions on fast Dixon-based whole body MRI with diffusion-weighted sequences: Estimate of clinical utility per sequence. The 2010 World Molecular Imaging Congress, 2010. e-Pub 2010.
171. Ma J, K-P H, Ginsberg L. Improved image contrast and scan efficiency for fat suppressed T1weighted imaging at 3T with a spin echo two-point Dixon technique. Proc Intl Soc Magn Reson Med, 2010. e-Pub 2010.
172. Ai H, Ma J. Consistent region-growing based Dixon water and fat separation for images with disconnected objects. Proc Intl Soc Magn Reson Med:2921, 2010. e-Pub 2010.
173. Shi K, Low RN, Bao S, Ma J. Flow compensation in frequency-encode direction for the fast spin echo triple-echo Dixon (FTED) sequence. Proc Intl Soc Magn Reson Med:3055, 2010. e-Pub 2010.
174. Ghua-Thakurta N, Debnam JM, Mahfouz YMM, Ma J Ginsberg LE. Homogeneous fat suppression and decreased susceptibility artifact on T2 weighted MR imaging of the face and orbits by single-scan FSE triple echo Dixon technique (fTED). The 2010 Annual Meeting of American Society of Neuroradiology, 2010. e-Pub 2010.
175. Low RN, Ma J, Pachal N. Initial clinical experience with FRFSE triple echo dixon (FRFTED) for breath-hold fast Dixon abdominal MR imaging. Proc Intl Soc Magn Reson Med:4573, 2010. e-Pub 2010.
176. K-P H, Dogan BE, Slavens ZW, Vu AT, Yang WT, Ma J. Ramp sampling strategies for high resolution single-pass Dixon imaging at 3T. Proc Intl Soc Magn Reson Med:5049, 2010. e-Pub 2010.
177. Low R, Ma J, Panchal N. FSE triple echo Dixon (FTED) preliminary experience with a novel sequence for fat suppressed T2-weighted abdominal MR imaging. Int'l Soc Magn Reson Med., Honolulu, HI:4088, 2009. e-Pub 2009.
178. Ma J, Costelloe C, Madewell J, Hortobagyi G, Green M, Cao G, Sun F, Kundra V. Multisequence and multiplanar whole body MRI for detection of cancer Metastases. Int'l Soc Magn Reson Med., Honolulu, HI:2224, 2009. e-Pub 2009.
179. Ahmad M, Liu Y, Slavens Z, Low R, Merkle E, Hwang K, Vu A, Ma J. Automatic identification of water and fat images from a symmetrically-sampled dual-echo Dixon technique. Medical Physics 36(6):2463, 2009. e-Pub 2009.
180. Digan B, Ma J, Hwang K, Yang W. 3T breast MRI using Dixon imaging. Int'l Soc Magn Med., Honolulu, HI:4243, 2009. e-Pub 2009.
181. Zhou Y, Ma J. Evaluating and understanding relative phase angle between fat and water and its effect on fat quantitation in the Dixon methods. Medical Physics 35(6):2641, 2008. e-Pub 2008.
182. Hwang KP, Ma J. Free-breathing, fat-suppressed T1-weighted imaging using IR prepared dual-echo FGRE with MEDAL water/fat separation. Intl Soc Magn Reson Med:2624, 2008. e-Pub 2008.
183. Ma J. Silicone-specific imaging using a single-echo Dixon technique. Intl Soc Mgn Reson Med:2723, 2008. e-Pub 2008.
184. Hwang KP, Ma J, Madhuranthakam AJ, Tan ET, Sun W, Slavens ZW, Alsop DC. Diffusion weighted SSFSE with Dixon fat-water separation. Intl Soc Magn Reson Med:2293, 2008. e-Pub 2008.
185. Choi H, Boonsirikamchai P, Kaur H, Johnson VE, Underwood ML, Ma J. Factors affecting, and possible ways for improving the prostate MR spectroscopic quality: A single institution experience. Radiology, 2008. e-Pub 2008.
186. Ma J, Slavens Z Sun W, Bayram E, Estowski L, Hwang K, Akao J, Vu A. Linear phase error correction for improved water and fat separation in dual-echo Dixon techniques. Intl Soc Magn Reson Med:655, 2008. e-Pub 2008.
187. Ma J, Costelloe C, Kundra V, Zhou Y, Green M, Hortobagyi GN, Madewell JE. Single session whole body T2-weighted and T1-weighted MRI (both with and without fat supression). Intl Soc Magn Reson Med:2724, 2007. e-Pub 2007.
188. Ma J, Slavens ZW, Vu AT. Histogram based water and fat identification in a symmetrically sampled dual echo Dixon technique. Intl Soc Magn Reson Med:1637, 2007. e-Pub 2007.
189. Thompson AK, Park JM, Vu AT, Slavens Z, Ma J, Brau AC, Herfkens RJ, DanielB. A linear prediction approach to joint estimation of water/fat images and field inhomogeneity map. Intl Soc Magn Reson Med:3828, 2007. e-Pub 2007.
190. Zhou Y, Ma J. Separate water and fat imaging with a novel phase correction algorithm. Medical Physics 34(6):2360, 2007. e-Pub 2007.
191. Ma J, Son JB. A fast spin echo triple echo Dixon (fTED) technique for efficient T2-weighted water and fat imaging. Intl Soc. Magn. Reson. Med., Seattle, WA:3025, 2006. e-Pub 2006.
192. Scherzinger AL, Du Y, Stamm E, Eckel R, Ma J. MRI adipose tissue volume measures: comparison of SPGR and fast two-point Dixon methods at 3T. Intl Soc. Magn. Reson. Med., Seattle, WA:2303, 2006. e-Pub 2006.
193. Liu Y, Ma J. A method for automatic determination of the global polarity of phase sensitive inversion recovery images. Intl Soc. Magn. Reson. Med., Seattle, WA:2943, 2006. e-Pub 2006.
194. Garcia M, Choi H, Ma J. Managing technical factors affecting spectral quality of endorectal prostate MRS at 1.5T - preliminary results. Intl Soc. Magn. Reson. Med., Seattle, WA, 2006. e-Pub 2006.
195. Szklaruk J, Ng CS, Tamm E, Bhosale P, Balachandran A, Ma J. 1.5T vs. 3T body MRI: qualitative and quantitative comparison of T2 weighted images for liver lesion detection. Intl Soc. Magn. Reson. Med., Seattle, WA:2281, 2006. e-Pub 2006.
196. Ma J, Vu AT, Son JB, Liu Y, Knowles A, Polzin J, Lehman C. Contrast agent enhanced breast imaging with a combined 3D dual echo Dixon and parallel imaging. Intl Soc. Magn. Reson. Med., Seattle, WA:2873, 2006. e-Pub 2006.
197. Ragan DK, Ma J. A hybrid homodyne algorithm for reconstructing partially acquired two-point Dixon data. Intl Soc. Magn. Reson. Med., Seattle, WA:2967, 2006. e-Pub 2006.
198. Vuong MP, Choi H, Rashid A, Broemeling LD, Vauthey JN, Ma J. Quantitation of hepatic steatosis in oncologic patients a fast dual-echo Dixon technique. Intl Soc Magn. Reson. Med., Seattle, WA:3311, 2006. e-Pub 2006.
199. Cannon BA, Kumar AJ, Costelloe C, LeRoux P, Ma J. Quantitative diffusion and fat imaging of vertebral compression fractures. Intl Soc. Magn. Reson. Reson. Med., Seattle, WA:545, 2006. e-Pub 2006.
200. Son J, Ji J, Ma J. Three-dimensional T1-weighted MR Imaging using a One-point Dixon Technique with Arbitrary Echo Time. Intl Soc. Magn. Reson. Med., Miami, FL:893, 2005. e-Pub 2005.
201. Liu Y, Ma J, Ji J. Improved Inversion Recovery Image Reconstruction from Phased-Array Data Using a Markov Random Field Model. Intl. Soc. Magn. Reson. Med, Miami, FL:2441, 2005. e-Pub 2005.
202. Ma J, Son J, Ragan DK. T2-weighted Imaging Using a Combined Two-point Fast Spin Echo Dixon and SENSE Technique. Intl. Soc. Magn. Reson. Med, Miami, FL:2437, 2005. e-Pub 2005.
203. Ma J. Whole Body MRI at 3 Tesla Using a Moving Tabletop and a Fast Spin Echo Dixon Technique. Intl. Soc. Magn. Reson. Med. Miami, FL:1965, 2005. e-Pub 2005.
204. Ragan D, and Ma J. T2-weighted prostate imaging using echo planar imaging at 3T. Medical Physics 32/6:1911, 2005. e-Pub 2005.
205. Hwang KP, Song H, Ma J. T2 mapping in a Breathhold with KWIC FR-FSE. Intl. Soc. Magn. Reson. Med, Miami, FL:2393, 2005. e-Pub 2005.
206. Hwang KP, Son JB, Song H, Ma J. Image Based Radial Dixon with Asymmetric Time Shifted Echoes. Intl. Soc. Magn. Reson. Med, Miami, FL:788, 2005. e-Pub 2005.
207. Zhan J, Ma J. Improving image contrast and water/fat quantitation in Dixon methods using a multi-spectral fat model. Intl Soc. Magn. Reson. Med., Kyoto, Japan:2134, 2004. e-Pub 2004.
208. Hwang KP, Ward HA, Polzin JA, Ma J. Phase cycled steady state free precession with multipopint fat-water separation. Intl. Soc. Magn. Reson. Med., Kyoto, Japan:268, 2004. e-Pub 2004.
209. Ma J. Phase correction in two-point Dixon water and fat imaging using a three-dimensional region growing algorithm. Intl. Soc. Magn. Reson. Med, Kyoto, Japan:2134, 2004. e-Pub 2004.
210. Garach R, Ji J, Ying L, Ma J. Robust phase sensitive inversion recovery imaging using a Markov random field model. Proc. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, CA,, 2004. e-Pub 2004.
211. Szklaruk J, Visweswaran A, Tamm EP, Ma J, Broemeling L. Evaluation of Different T2-Weighted Imaging Techniques for Liver MRI. Intl Sco. Magn. Reson. Med., Kyoto, Japan:895, 2004. e-Pub 2004.
212. Ma J, Hwang KP, Kumar A, Polzin J, McKinnon G, LeRoux P. Diffusion imaging of human vertebrae in vivo with a non-CPMG single shot fast spin echo technique. Intl. Soc. Magn. Reson. Med, Kyoto, Japan:2135, 2004. e-Pub 2004.
213. Choi H, Zhou XJ, Ma J. Use of Perfluorocarbon (PFC) in Magnetic Resonance Spectroscopy (MRS) of Prostate: A Method to Improve the Line-width and Quality of Spectra. Radiology (P), Chicago, IL, 2004. e-Pub 2004.
214. Ma J, Choi J, Jackson EF, Liang Z. Dynamic Study of Sarcoma with Reduced-Encoding Imaging by Generalized-Series Reconstruction. Proc. Int Soc. Magn. Reson Mag., Toronto, Canada 11:1265, 2003. e-Pub 2003.
215. Ji J, Ying L, Ma J, Munson DC, Liang ZP. Phase Sensitive Inversion Recovery Imaging Using a Markov Random Field Model. Proc. Intl. Soc. Magn. Reson. Med, Toronto, Canada 11:1069, 2003. e-Pub 2003.
216. Ji J, Ma J, Munson DC, Liang ZP. Optimizing Data Acquisition and Image Reconstruction for Generalized Series Dynamic Imaging. Proc. Intl Soc. Magn. Reson. Med., Toronto, Canada 11:1000, 2003. e-Pub 2003.
217. Ma J, Bankson JA, Stafford RJ. Multipoint Dixon Imaging Using Sensitivity Encoding. Proc. Intl. Soc. Magn. Reson. Med., Toronto, Canada 11:1068, 2003. e-Pub 2003.
218. Ma J, Choi H, Stafford RJ. Silicone Prothesis Imaging Using an Inversion Recovery Fast Spin Echo and Fast Dixon Imaging. Proc. Intl., Soc. Mag. Reson. Med, Hawall, USA 11:285, 2003. e-Pub 2003.
219. Liang ZP, Stenger A, Ji J, Ma J, Boada F. Parallel Generalized Series Imaging. Proc Intl Soc. Magn. Reson. Med., Toronto, Canada 11:2341, 2003. e-Pub 2003.
220. Ma J, Singh S, Kumar A, Leeds N, Broemeling L. An efficient fast spin echo multipoint Dixon method for water and fat separation. Radiology 225:314, 2002. e-Pub 2002.
221. Ma J, Singh S, Kumar A, Leeds N, Broemeling L. Phased Array Coil Compatible T2-weighted Fat Spin Echo Dixon Imaging. Proc. Intl., Soc. Mag. Reson. Med, Hawaii, USA,:735, 2002. e-Pub 2002.
222. Chow B, Thibodeau S, Mortele K, Rybicki F, Mulkern B, Ros P, Ma J. Fast Three-Point Dixon (F3PD) MR Imaging of the Abdomen with On-line Reconstruction: Comparison with Fat Suppressed T2-weighted (T2W) Fast Spin Echo (FSE). Radiology 221/(P):744, 2001. e-Pub 2001.
223. Ma J, Halliyur D, Estkowski L, Becerra R. Adaptive Coil Selection in Reconstruction Phased Array Images. Proc. Intl. Soc. Mag. Reson. Med. , Glasgow, Scotland, UK:774, 2001. e-Pub 2001.
224. Zhou Y, Ma J. Acoustic Noise Reduction in MRI by Selective Gradient Derating. Proc. Intl. Soc. Mag. Reson. Med, Denver, USA, 8, 2000. e-Pub 2000.
225. Ji X, Ma J, Bulkes C, Z-P L. T1-Based Brain Image Segmentation using Phase-Sensitive Inversion Recovery Imaging. Proc. Intl. Soc. Mag. Reson. Med, Denver, USA 8:671, 2000. e-Pub 2000.

Book Chapters

1. Tse GM, Ma J, Cheung HS. In Vivo Proton Magnetic Resonance Spectroscopy of Breast Tumors. In: Magnetic Resonance Spectroscopy of Breast Tumors. Nova Science Publishers, Inc, 87-104, 2009.
2. Tse GM, Ma J, Cheung HS. Basic Principles and Techniques of MR. In: Magnetic Resonance Spectroscopy of Breast Tumors. Nova Science Publishers, Inc, 15-35, 2009.
3. Yeung DKW, Ma J, Tse GM. Future Direction. In: Magnetic Resonance Spectroscopy. Nova Science Publishers, Inc, 141-144, 2009.

Books (edited and written)

1. Tse GM, Ma J, Cheung HS. Magnetic Resonance Spectroscopy of Breast Tumors. Nova Science Publishers, Inc, 2009.

Patents

1. Ma J, Hinks RS, King KF, McKinnon GC. Magnetic resonance image artifact correction using navigator echo information. Patent Number: US 6586935.
2. Ma J. Data acquisition method and apparatus for MR imaging. Patent Number: US 7027853.
3. Ma J. Method and apparatus for extended phase correction in phase sensitive magnetic resonance imaging. Patent Number: US 9449386.
4. Ma J. Suppression of fat signals in MR water images produced in Dixon imaging. Patent Number: US 6466014.
5. Ma J, Choi H, Stafford RJ, Bankson JA. Methods and apparatuses of fast chemical shift magnetic resonance imaging. Patent Number: US 7358729.
6. Ma J, Zhou X, and McKinnon GC. Method for compensating an MRI system for residual magnetization. Patent Number: US 6043656.
7. Ma J, Zur Y. Customized spatial saturation pulse sequence for suppression of artifacts in MR images. Patent Number: US P7054675.
8. Ma J. Methods for efficient and improved phase-sensitive MRI. Patent Number: US 8,761,464 B2.
9. Ma J, Tan G. Automatic coil selection of multi-receiver MR data using fast pre-scan data analysis. Patent Number: US 6724923.
10. Ma J. Methods and apparatus for phase sensitive magnetic resonance imaging. Patent Number: US 7227359.
11. Ma J, Hazle JD, Son JB. Methods and apparatus for phase correction in magnetic resonance imaging. Patent Number: US 9519040.
12. Ma J. System and method for improved water and fat separation using a set of low-resolution MR images. Patent Number: US 6016057.
13. Ma J. System, program product, and method of acquiring and processing MRI data for simultaneous determination of water, fat and transverse relaxation time constants. Patent Number: US 7,863,895.
14. Hwang KP, Slavens ZW, Bayram E, Wang K, Litwiller D, Ma J. Method and apparatus for separating chemical species in magnetic resonance imaging. Patent Number: US 9,880,244.
15. Ma J, Tan G. Automatic coil selection of multi-receiver MR data using fast prescan data analysis. Patent Number: US 6,961,455.
16. Ma J. Method and apparatus for extended phase correction in phase sensitive magnetic resonance imaging. Patent Number: US 9,881,394.
17. Ma J, Choi H, Stafford RJ, and Bankson J. Methods and apparatus for fast chemical shift magnetic resonance imaging. Patent Number: US 7084626.
18. Ma J, Tan G, and Kurucay S. Method and apparatus for processing MRI data acquired with a plurality of coils using Dixon techniques. Patent Number: US 6483308.
19. Ma J, Tan G. Adaptive data differentiation and selection from multi-coil receiver to reduce artifacts in reconstruction. Patent Number: US 6738501.
20. Ma J. Preparatory pulse sequence for suppression of artifacts in MR images. Patent Number: US 6486668.
21. Hwang KP, Slavens Z, Bayram E, Wang K, Litwiller D, Ma J. Method and apparatus for separating chemical species in magnetic resonance imaging. Patent Number: 276801.
22. Ma J, Wehrli F. Method for measuring the reversible contribution to the transverse relaxation rate in magnetic resonance imaging. Patent Number: US 5860921.
23. Ma J. Phase sensitive inversion recovery method of MR imaging. Patent Number: US 06192263.
24. Ma J, Zhou X. Fast spin echo phase correction for MRI system. Patent Number: US 6369568.
25. Ma J, Tan G. Adaptive data differentiation and selection from multi-coil receiver to reduce artifacts in reconstruction. Patent Number: US 6990223.