David T. Fuentes, Ph.D.
Department of Imaging Physics, Division of Diagnostic Imaging
About Dr. Fuentes
Dr. Fuentes has a strong interdisciplinary background in applied mathematics, imaging physics, engineering, scientific computation, and mathematical modeling of physics based phenomena. Dr. Fuentes has contributed in numerous aspects of quantitative clinical imaging guided research, including, MRI image acquisition, image registration, modeling of the nonlinear dynamic bioheat transfer within heterogeneous tissue, geometry extraction, high-speed data transfer, remote computer visualization, laser optics, high-performance parallel computing, inverse analysis, calibration, model validation, thermal image processing, data assimilation, optimal control algorithms, and uncertainty quantification. Dr. Fuentes has been involved with multi-disciplinary teams of engineers, imaging physicists, computational scientists, applied mathematicians, interventionists, and industry collaborators in 20+ peer reviewed publications relating to image guided research.
Present Title & Affiliation
Primary Appointment
Associate Professor, Department of Imaging Physics - Research, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
Adjunct Faculty (Joint appointment), Department of Computational and Applied Mathematics, Rice University, Houston, TX
Program Faculty, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX
Education & Training
Degree-Granting Education
| 2008 | The University of Texas at Austin, Austin, Texas, US, Computational and Applied Mathematics, Ph.D |
| 2005 | The University of Texas at Austin, Austin, Texas, US, Computational and Applied Mathematics, M.S |
| 2002 | The University of Texas at Austin, Austin, Texas, US, Aerospace Engineering, BS |
Experience & Service
Academic Appointments
Assistant Professor, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 2013 - 2019
Instructor, Department of Imaging Physics - Research, The University of Texas MD Anderson Cancer Center, Houston, TX, 2010 - 2013
Other Appointments/Responsibilities
Postdoctoral Fellow, MD Anderson Cancer Center, Houston, TX, 2008 - 2010
Graduate Research Assistant, Institute of Computational Engineering and Sciences, Austin, TX, 2003 - 2008
Student Associate, Institute for Advanced Technology, Austin, TX, 2000 - 2002
Engineering Instructor Assistant, The University of Texas at Austin, Austin, TX, 2000 - 2001
Institutional Committee Activities
Member, UT Systems: Oversight Committee for the University of Texas Research Cyberinfrastracture Program (UTRC), 2023 - Present
Member, GSBS: Medical Physics Admission Committee, 2022 - Present
Member, Scientific Review Committee, 2022 - Present
Ad hoc Reviewer, GSBS: Student Research Grant Awards, 2022
Member, IT working group, 2021 - Present
Nominating Award and Service Committee, Service Committee, Member, 2021 - Present
Member, Dept. of Imaging Physics: Medical Physics Faculty Candidate Search Committee, 2019 - 2020
Poster Judge, Quantitative Science Program, 2019
Member, GSBS: Student Scholarship Committee, 2018 - 2021
Member, Institutional: INTEREST grant reviewer, 2017
Member, Med Phys: Curriculum Review Committee, 2014 - 2015
Member, DI: Informatics Functional Committee, 2013 - 2015
Member, Dept. of Imaging Physics: Computational Resource Committee (CRC), 2013 - Present
Member, DI: IREC Research IT Subcommittee, 2012
Honors & Awards
| 2023 | Commendation, University of Texas Graduate School of Biomedical Science |
| 2015 | Commended Course: Applied Math in Medical Physics |
| 2013 | Recipient, J.T. Oden Faculty Fellow |
| 2011 | Recipient, J. T. Oden Faculty Fellow |
| 2008 - 2010 | Recipient, NIH Medical Physics Training Grant 5T32CA119930-03, NIH |
| 2007 | Finalist, USNCCM9 Student Presentation Competition |
| 2003 - 2007 | CAM Fellowship, University of Texas at Austin |
| 2001 - 2002 | Maureen M. and Richard E. Wakeland Endowed Scholarship in Engineering, University of Texas at Austin |
| 2000 - 2001 | ASE/EM Visiting Committee Scholarship, University of Texas at Austin |
| 1999 - 2002 | University Honors, University of Texas at Austin |
Professional Memberships
Selected Publications
Peer-Reviewed Articles
- Seo, A, Xiao, W, Gjyshi, O, Court, K, Wei, P, Swanson, D, Napravnik, TC, Grippin, A, Venkatesan, AM, Jacobsen, MC, Fuentes, DA, Lynn, EJ, Sammouri, J, Jhingran, A, Joyner, MM, Lin, LL, Colbert, LE, Gillison, M, Klopp, AH. Human Papilloma Virus Circulating Cell-Free DNA Kinetics in Patients with Cervical Cancer Undergoing Definitive Chemoradiation. Clinical Cancer Research 31(4):697-706, 2025. e-Pub 2025. PMID: 39680029.
- McCullum L, Belal Z, Floyd W, Ali AMS, West N, Mulder S, Ding Y, Xu J, Thill D, O'Connell N, Stancanello J, Wahid KA, Fuentes DT, Hwang KP, Fuller CD. A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR. medRxiv, 2025. e-Pub 2025. PMID: 39830240.
- Celaya, A, Kirk, K, Fuentes, DA, Rivière, B. Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks[Formula presented]. Computers and Mathematics with Applications 174:31-42, 2024. e-Pub 2024.
- Smetanick, D, Stolley, D, Fuentes, DA, Fowlkes, NW, Shakoor, F, Stenkamp, MS, Hicks, SC, Parrish, S, Cressman, EN. Volumetric CT Assessment of In Situ Induced Hepatic Lesions in a Transgenic Swine Model. Life 14(11), 2024. e-Pub 2024. PMID: 39598194.
- Patel N, Celaya A, Eltaher M, Glenn R, Savannah KB, Brock KK, Sanchez JI, Calderone TL, Cleere D, Elsaiey A, Cagley M, Gupta N, Victor D, Beretta L, Koay EJ, Netherton TJ, Fuentes DT. Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies. Sci Rep 14(1):20988, 2024. e-Pub 2024. PMID: 39251664.
- Marquez B, Wooten ZT, Salazar RM, Peterson CB, Fuentes DT, Whitaker TJ, Jhingran A, Pollard-Larkin J, Prajapati S, Beadle B, Cardenas CE, Netherton TJ, Court LE. Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues. Diagnostics (Basel) 14(15), 2024. e-Pub 2024. PMID: 39125508.
- Muthusivarajan R, Celaya A, Yung JP, Long JP, Viswanath SE, Marcus DS, Chung C, Fuentes D. Evaluating the relationship between magnetic resonance image quality metrics and deep learning-based segmentation accuracy of brain tumors. Med Phys 51(7):4898-4906, 2024. e-Pub 2024. PMID: 38640464.
- Wahid KA, Sahin O, Kundu S, Lin D, Alanis A, Tehami S, Kamel S, Duke S, Sherer MV, Rasmussen M, Korreman S, Fuentes D, Cislo M, Nelms BE, Christodouleas JP, Murphy JD, Mohamed ASR, He R, Naser MA, Gillespie EF, Fuller CD. Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation. JCO Clin Cancer Inform 8:e2300174, 2024. e-Pub 2024. PMID: 38870441.
- Wahid KA, Cardenas CE, Marquez B, Netherton TJ, Kann BH, Court LE, He R, Naser MA, Moreno AC, Fuller CD, Fuentes D. Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification. Advances in Radiation Oncology, 2024. e-Pub 2024. PMID: 37904737.
- A Celaya, K Kirk, Fuentes DT, B Riviere. Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks. Computers and Mathematics with Applications, 2024.
- Nikzad N, Fuentes DT, Roach M, Chowdhury T, Cagley M, Badawy M, Elkhesen A, Hassan M, Elsayes KM, Beretta L, Koay EJ, Jalal PK. Enhancement Pattern Mapping for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis. J Hepatocell Carcinoma 11:595-606, 2024. e-Pub 2024. PMID: 38525156.
- Thompson EA, Jacobsen MC, Fuentes DT, Layman RR, Cressman ENK. Quantitative dual-energy computed tomography with cesium as a novel contrast agent for localization of thermochemical ablation in phantoms and ex vivo models. Med Phys 50(12):7879-7890, 2023. e-Pub 2023. PMID: 37409792.
- Gronberg MP, Jhingran A, Netherton TJ, Gay SS, Cardenas CE, Chung C, Fuentes D, Fuller CD, Howell RM, Khan M, Lim TY, Marquez B, Olanrewaju AM, Peterson CB, Vazquez I, Whitaker TJ, Wooten Z, Yang M, Court LE. Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers. Med Phys 50(11):6639-6648, 2023. e-Pub 2023. PMID: 37706560.
- Jha PK, Walker C, Mitchell D, Oden JT, Schellingerhout D, Bankson JA, Fuentes DT. Mutual-information based optimal experimental design for hyperpolarized [Formula: see text]C-pyruvate MRI. Sci Rep 13(1):18047, 2023. e-Pub 2023. PMID: 37872226.
- Patel RJS, Harlan CJ, Fuentes DT, Bankson JA. A Simulation of the Effects of Diffusion on Hyperpolarized [1-13C]-Pyruvate Signal Evolution. IEEE Trans Biomed Eng PP(10):2905-2913, 2023. e-Pub 2023. PMID: 37097803.
- Hernandez S, Nguyen C, Gay S, Duryea J, Howell R, Fuentes D, Parkes J, Burger H, Cardenas C, Paulino AC, Pollard-Larkin J, Court L. Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information. J Appl Clin Med Phys 24(7):e13956, 2023. e-Pub 2023. PMID: 36917640.
- Celaya A, Actor JA, Muthusivarajan R, Gates E, Chung C, Schellingerhout D, Riviere B, Fuentes D. PocketNet: A Smaller Neural Network For Medical Image Analysis. IEEE Trans Med Imaging PP(4):1172-1184, 2023. e-Pub 2023. PMID: 36427285.
- Hernandez S, Nguyen C, Parkes J, Burger H, Rhee DJ, Netherton T, Mumme R, Vega JG, Duryea J, Leone A, Paulino AC, Cardenas C, Howell R, Fuentes D, Pollard-Larkin J, Court L. Automating the treatment planning process for 3D-conformal pediatric craniospinal irradiation therapy. Pediatr Blood Cancer 70(3):e30164, 2023. e-Pub 2023. PMID: 36591994.
- Moawad AW, Morshid A, Khalaf AM, Elmohr MM, Hazle JD, Fuentes D, Badawy M, Kaseb AO, Hassan M, Mahvash A, Szklaruk J, Qayyum A, Abusaif A, Bennett WC, Nolan TS, Camp B, Elsayes KM. Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation. Sci Data 10(1):33, 2023. e-Pub 2023. PMID: 36653372.
- Gronberg MP, Beadle BM, Garden AS, Skinner H, Gay S, Netherton T, Cao W, Cardenas CE, Chung C, Fuentes DT, Fuller CD, Howell RM, Jhingran A, Lim TY, Marquez B, Mumme R, Olanrewaju AM, Peterson CB, Vazquez I, Whitaker TJ, Wooten Z, Yang M, Court LE. Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans. Pract Radiat Oncol 13(3):e282-e291, 2023. e-Pub 2023. PMID: 36697347.
- Hernandez S, Burger H, Nguyen C, Paulino AC, Lucas JT, Faught AM, Duryea J, Netherton T, Rhee DJ, Cardenas C, Howell R, Fuentes D, Pollard-Larkin J, Court L, Parkes J. Validation of an automated contouring and treatment planning tool for pediatric craniospinal radiation therapy. Front Oncol 13:1221792, 2023. e-Pub 2023. PMID: 37810961.
- Papadopoulos C, Kolokithas-Ntoukas A, Moreno R, Fuentes D, Loudos G, Loukopoulos VC, Kagadis GC. Using kinetic Monte Carlo simulations to design efficient magnetic nanoparticles for clinical hyperthermia. Med Phys 49(1):547-567, 2022. e-Pub 2022. PMID: 34724215.
- Moawad AW, Ahmed A, Fuentes DT, Hazle JD, Habra MA, Elsayes KM. Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. Abdom Radiol (NY) 46(10):4853-4863, 2021. e-Pub 2021. PMID: 34085089.
- Gates EDH, Weinberg JS, Prabhu SS, Lin JS, Hamilton J, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes DT, Schellingerhout D. Estimating Local Cellular Density in Glioma Using MR Imaging Data. AJNR Am J Neuroradiol 42(1):102-108, 2021. e-Pub 2021. PMID: 33243897.
- Liu Tracy W, Gammon Seth T, Fuentes D, Piwnica-Worms D. Multi-modal multi-spectral intravital macroscopic imaging of signaling dynamics in real time during tumor--immune interactions 10(3):489, 2021.
- Liu TW, Gammon ST, Yang P, Fuentes DT, Piwnica-Worms D. Myeloid cell–derived HOCl is a paracrine effector that trans-inhibits IKK/NF-κB in melanoma cells and limits early tumor progression. Science Signaling 677(14), 2021. e-Pub 2021.
- Gates E, Celaya A, Suki D, Schellingerhout D, Fuentes D. Technical note: An efficient MR image data quality screening dashboard. Medical Physics, 2021. e-Pub 2021.
- Muthusivarajan R, Allen WJ, Pehere AD, Sokolov KV, Fuentes D. Role of alkylated residues in the tetrapeptide self-assembly-A molecular dynamics study. J Comput Chem 41(31):2634-2640, 2020. e-Pub 2020. PMID: 32930440.
- Bastos DCA, Rao G, Oliva ICG, Loree JM, Fuentes DT, Stafford RJ, Beechar VB, Weinberg JS, Shah K, Kumar VA, Prabhu SS. Predictors of Local Control of Brain Metastasis Treated With Laser Interstitial Thermal Therapy. Neurosurgery 87(1):112-122, 2020. e-Pub 2020. PMID: 31539421.
- Papadopoulos C, Efthimiadou EK, Pissas M, Fuentes D, Boukos N, Psycharis V, Kordas G, Loukopoulos VC, Kagadis GC. Magnetic fluid hyperthermia simulations in evaluation of SAR calculation methods. Phys Med 71:39-52, 2020. e-Pub 2020. PMID: 32088564.
- Gates EDH, Lin JS, Weinberg JS, Prabhu SS, Hamilton J, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes DT, Schellingerhout D. Imaging-Based Algorithm for the Local Grading of Glioma. AJNR Am J Neuroradiol 41(3):400-407, 2020. e-Pub 2020. PMID: 32029466.
- Fuentes D, Fahrenholtz SJ, Guo C, MacLellan CJ, Layman RR, Rivière B, Stafford RJ, Cressman E. Mathematical modeling of mass and energy transport for thermoembolization. Int J Hyperthermia 37(1):356-365, 2020. e-Pub 2020. PMID: 32308071.
- Ahmed A, Elmohr M, Fuentes D, Habra M, Fisher S, Perrier N, Zhang M, Elsayes AK. Radiomic mapping model for prediction of ki-67 expression in adrenocortical carcinoma. Clinical Radiology 75(6):479-e17, 2020. e-Pub 2020.
- Fuentes D, Thompson E, Jacobsen M, Crouch A, Layman RR, Riviere B, Cressman E. Imaging-based characterization of convective tissue properties. International Journal of Hyperthermia 37(3):155-163, 2020. e-Pub 2020.
- Moawad AW, Fuentes D, Khalaf AM, Blair KJ, Szklaruk J, Qayyum A, Hazle JD, Elsayes KM. Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol 10:572, 2020. e-Pub 2020. PMID: 32457831.
- Thrower SL, Kandala SK, Fuentes D, Stefan W, Sowko N, Huang M, Mathieu K, Hazle JD. A compressed sensing approach to immobilized nanoparticle localization for superparamagnetic relaxometry. Phys Med Biol 64(19):194001, 2019. e-Pub 2019. PMID: 31422952.
- Traylor JI, Bastos DCA, Fuentes D, Muir M, Patel R, Kumar VA, Stafford RJ, Rao G, Prabhu SS. Dynamic Contrast-Enhanced MRI in Patients with Brain Metastases Undergoing Laser Interstitial Thermal Therapy: A Pilot Study. AJNR Am J Neuroradiol 40(9):1451-1457, 2019. e-Pub 2019. PMID: 31371353.
- Morshid A, Elsayes KM, Khalaf AM, Elmohr MM, Yu J, Kaseb AO, Hassan M, Mahvash A, Wang Z, Hazle JD, Fuentes, DT. A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization. Radiol Artif Intell 1(5), 2019. e-Pub 2019. PMID: 31858078.
- Walker CM, Fuentes D, Larson PEZ, Kundra V, Vigneron DB, Bankson JA. Effects of Excitation Angle Strategy on Quantitative Analysis of Hyperpolarized Pyruvate. Magn Reson Med 81(6):3754-3762, 2019. e-Pub 2019. PMID: 30793791.
- Gates EDH, Lin JS, Weinberg JS, Hamilton J, Prabhu SS, Hazle JD, Fuller GN, Baladandayuthapani V, D F, Schellingerhout D. Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging. Neuro Oncol 21(4):527-536, 2019. e-Pub 2019. PMID: 30657997.
- Khalaf A, Fuentes D, Morshid A, Elmohr M, Kaseb A, Hassan M, Szklaruk J, Hazle J, Elsayes AK. Hepatocellular Carcinoma (HCC) Response to Transcatheter Arterial Chemoembolization (TACE) Using Automatically Generated Pre- Therapeutic Tumor Volumes by a Random Forest -Based Segmentation Protocol. Clinical Radiology 12:974-e13, 2019. e-Pub 2019.
- Gates EDH, Yang J, Fukumura K, Lin JS, Weinberg JS, Prabhu SS, Long L, Fuentes D, Sulman EP, Huse JT, Schellingerhout D. Spatial Distance Correlates With Genetic Distance in Diffuse Glioma. Front Oncol 9:676, 2019. e-Pub 2019. PMID: 31417865.
- Beechar VB, Prabhu SS, Bastos D, Weinberg JS, Stafford RJ, Fuentes D, Hess KR, Rao G. Volumetric Response of Progressing Post-SRS Lesions Treated with Laser Interstitial Thermal Therapy. Journal of Neuroncology 137(1):57-65, 2018. e-Pub 2018. PMID: 29204838.
- Melancon MP, Appleton Figueira T, Fuentes DT, Tian L, Qiao Y, Gu J, Gagea M, Ensor JE, Muñoz NM, Maldonado KL, Dixon K, McWatters A, Mitchell J, McArthur M, Gupta S, Tam AL. Development of an Electroporation and Nanoparticle-Based Therapeutic Platform for Bone Metastases. Radiology 286(1):149-157, 2018. e-Pub 2018. PMID: 28825892.
- Mitchell D, Fahrenholtz S, MacLellan C, Bastos D, Rao G, Prabhu S, Weinberg J, Hazle J, Stafford J, Fuentes D. A Heterogeneous Tissue Model for Treatment Planning For Magnetic Resonance-Guided Laser Interstitial Thermal Therapy. International Journal of Hyperthermia:1-10, 2018. e-Pub 2018. PMID: 29343140.
- Fuentes, D, Munoz, N, Guo, C, Polak, U, Minhaj, A, Allen, W, Gustin, M, Cressmen A, E. A Molecular Dynamics Approach towards Evaluating Osmotic and Thermal Stress in the Extracellular Environment. International Journal of Hyperthermia pages 1-9, 2018. e-Pub 2018.
- Owens CA, Peterson CB, Tang C, Koay EJ, Yu W, Mackin DS, Li J, Salehpour MR, Fuentes DT, Court LE, Yang J. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS One 13(10):e0205003, 2018. e-Pub 2018. PMID: 30286184.
- Sovizi J, Mathieu KB, Thrower SL, Stefan W, Hazle JD, Fuentes D. Gaussian Process Classification of Superparamagnetic Relaxometry Date: Phantom Study. Artificial Intelligence in Medicine 82:47-59, 2017. e-Pub 2017. PMID: 28911905.
- Mitcham T, Taghavi H, Long J, Wood C, Fuentes D, Stefan W, Ward J, Bouchard R. Photoacoustic-Based SO2 Estimation Through Excised Bovine Prostate Tissue With Interstitial Light Delivery. Photoacoustics 7:47-56, 2017. e-Pub 2017. PMID: 28794990.
- Yung JP, Fuentes D, MacLellan CJ, Maier F, Liapis Y, Hazle JD, Stafford RJ. Referenceless Magnetic Resonance Temperature Imaging Using Gaussian Process Modeling. Med Phys 44(7):3545-3555, 2017. e-Pub 2017. PMID: 28317125.
- Lin JS, Fuentes DT, Chandler A, Prabhu SS, Weinberg JS, Baladandayuthapani V, Hazle JD, Schellingerhout D. Performance Assessment for Brain MR Imaging Registration Methods. AJNR Am J Neuroradiol 38(5):973-980, 2017. e-Pub 2017. PMID: 28279984.
- Fahrenholtz SJ, Madankan R, Danish S, Hazle JD, Stafford RJ, Fuentes D. Theoretical Model for Laser Ablation Outcome Predictions in Brain: Calibration and Validation on Clinical MR Thermometry Images. International Journal of Hyperthermia 34(1):1-11, 2017. e-Pub 2017. PMID: 28540820.
- Madankan R, Stefan W, Fahrenholtz SJ, MacLellan CJ, Hazle JD, Stafford RJ, Weinberg JS, Rao G, Fuentes D. Accelerated Model-Based Signal Reconstruction for Magnetic Resonance Imaging in Presence of Uncertanties. Phys Med Biol 62(1):214-245, 2017. e-Pub 2017. PMID: 27991449.
- Lin J, Fuentes D, Weinberg J, Prabhu S, Baladandayuthapani V, Hazle J D, and Schellingerhout D. Performance Assessment for Brain Magnetic Resonance Imaging Registration Methods. American Journal of Neuroradiology 38(5):973-980, 2017. e-Pub 2017.
- Tam AL, Figueira TA, Gagea M, Ensor JE, Dixon K, McWatters A, Gupta S, D F. Irreversible Electroporation in the Epidural Space of the Porcine Spine: Effects on Adjacent Structures. Radiology 281(3):763-771, 2016. e-Pub 2016. PMID: 27266723.
- Bankson JA, Walker CM, Ramirez MS, Stefan W, Fuentes D, Merritt ME, Lee J, Sandulache VC, Chen Y, Phan L, Chou PC, Rao A, Yeung SC, Lee MH, Schellingerhout D, Conrad CA, Malloy C, Sherry AD, Lai SY, Hazle JD. Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors. Cancer Research 75(22):4708-17, 2015. e-Pub 2015. PMID: 26420214.
- Fahrenholtz SJ, Moon TY, Franco M, Medina D, Danish S, Gowda A, Shetty A, Maier F, Hazle JD, Stafford RJ, Warburton T, Fuentes D. A Model Evaluation Study for Treatment Planning of Laser Induced Thermal Therapy. International Journal of Hyperthermia 31(7):705-714, 2015. e-Pub 2015. PMID: 26368014.
- Maier F, Fuentes D, Weinberg JS, Hazle JD, Stafford RJ. Robust Phase Unwrapping Using a Sorted List, Multi-Clustering Algorithm. Magnetic Resonance in Medicine 73(4):1662-1668, 2015. e-Pub 2015. PMID: 24809984.
- Oden J, Lima E, Almedia R, Feng Y, Rylander M, Fuentes D, Faghihi D, Rahman M, DeWitt M, Gadde M. Toward Predictive Multiscale Modeling of Vascular Tumor Growth. Archives of Computational Methods in Engineering:1-45, 2015. e-Pub 2015.
- Castillo E, Castillo R, Fuentes D, Guerrero T. Computing Global Minimizers to a Constrained B-Spline Image Registration Problem From Optimal 11 Perturbations to Block Match Data. Medical Physics 41(4):041904, 2014. e-Pub 2014. PMID: 24694135.
- Fuentes D, Contreras J, Yu J, He R, Castillo E, Castillo R, Guerrero T. Morphometry-Based Measurements of the Structural Response to Whole-Brain Radiation. International Journal of Computer Assisted Radiology and surgery 10(4):393-401, 2014. e-Pub 2014. PMID: 25408306.
- Fahrenholtz SJ, Stafford RJ, Maier F, Hazle JD, Fuentes D. Generalised Polynomial Chaos-Bas. Int J Hyperthermia 29(4):324-35, 2013. e-Pub 2013. PMID: 23692295.
- Castillo R, Castillo E, D F, Ahmad M, Wood AM, Ludwig MS, Guerrero. A Reference Dataset for Deformable Image Registration Spatial Accuracy Evaluation Using the COPDgene Study Archive. Physics in Medicine and Biology 58(9):2861-77, 2013. e-Pub 2013. PMID: 23571679.
- Fuentes D, Elliott A, Weinberg JS, Shetty A, Hazle JD, Stafford RJ. An Inverse Problem Approach to Recovery of In-Vivo Nanopractice Concentrations from Thermal Image Monitoring of MR-Guided Laser Induced Thermal Therapy. Ann BME 41(1):100-11, 2013. e-Pub 2013. PMID: 22918665.
- Yeniaras E, Fuentes D, Fahrenholtz SJ, Weinberg JS, Maier F, Hazle JD, Stafford RJ. Design and Initial Evaluation of a Treatment Planning Software System for MRI-Guided Laser Ablation in the Brain. International Journal of Computer Assisted Radiology and Surgery:1-9, 2013. e-Pub 2013. PMID: 24091853.
- MacLellan CJ, Fuentes D, Elliott AM, Schwartz J, Hazle JD, Stafford RJ. Estimating Nanoparticle Optical Absorption with Magnetic Resonance Temperature Imaging and Bioheat Transfer Stimulation. International Journal of Hyperthermia 30(1):47-55, 2013. e-Pub 2013. PMID: 24350668.
- Fuentes D, Yung J, Hazle JD, Weinberg JS, Stafford RJ. Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies. IEEE Trans Med Imaging 31(4):984-94, 2012. e-Pub 2012. PMID: 22203706.
- Feng Y, D F. Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science]. Signal Processing Magazine, IEEE 28(3):134 -138, 2011. e-Pub 2011.
- Fuentes D, Walker C, Elliott A, Shetty A, Hazle JD, Stafford RJ. MR Temperature Imaging Validation of a Bioheat Transfer Model for LITT. International Journal of Hypothermia 27(5):453-64, 2011. e-Pub 2011. PMID: 21756043.
- Fuentes D, Cardan R, Stafford RJ, Yung J, Dodd GD, Feng Y. High-Fidelity Computer Models for Prospective Treatment Planning of RF Ablation with in Vitro Experimental Correlation. J. of Vascular and Interventional Radiology 21(11):1725-1732, 2010. e-Pub 2010. PMID: 20920840.
- Fuentes D, Feng Y, Elliott A, Shetty A, McNichols RJ, Oden JT, Stafford RJ. Adaptive real-time bioheat transfer models for computer-driven MR-guided laser induced thermal therapy. IEEE Trans Biomed Eng 57(5):1024-30, 2010. e-Pub 2010. PMID: 20142153.
- Fuentes D, Oden JT, Diller KR, Hazle JD, Elliott A, Shetty A, Stafford RJ. Computational Modeling and Real-Time Control of Patient- Specific Laser Treatment Cancer. Ann. BME 37(4):763-82, 2009. e-Pub 2009.
- Feng Y, Fuentes D, Hawkins A, Bass JM, Rylander MN. Model-Based Optimization and Real-Time Control for Laser Treatment of Heterogeneous Soft Tissues. CMAME 198(21-26):1742-1750, 2009. e-Pub 2009. PMID: 20485457.
- Feng Y, Fuentes D, Hawkins A, Bass J, Rylander MN, Elliott A, Shetty A, Stafford RJ, Oden JT. Nanoshell-Mediated Laser Surgery Simulation for Prostate Cancer Treatment. Engineering with Computers 25(1):3-13, 2009. e-Pub 2009. PMID: 20648233.
- Oden JT, Diller KR, Bajaj C, Browne JC, Hazle J, Babuška I, Bass J, Biduat L, Demkowicz L, Elliott A, Feng Y, Fuentes D, Prudhomme S, Rylander MN, Stafford RJ, Zhang Y. Dynamic Data-Driven Finite Element Models for Laser Treatment of Prostate Cancer. Numer Methods Partial Differ Equ 23(4):904-922, 2007. e-Pub 2007. PMID: 20376194.
- Fuentes D, Littlefield D, Oden J, Prudhomme S. Extensions of goal-oriented error estimation methods to simulations of highly-nonlinear response of shock-loaded elastomer-reinforced structuresock-loaded elastomer-reinforced structures. Comput. Methods Appl. Mech. Engrg 195(37-40):4659-4680, 2006. e-Pub 2006.
Manuals, Teaching Aids, Other Teaching Publications
- Fuentes D. Graduate School of Biomedical Sciences, Applied Mathematics Lecture Notes. https://drive.google.com/open?id=1DARQAqnU8Pbr6GmRLWP2RcCKVzOqyjyT, 2024.
Other Articles
- Wahid, K, Kaffey, Z, Farris, D, Humbert-Vidan, L, Moreno, AC, Rasmussen, M, Ren, J, Naser, M, Netherton, T, Korreman, SS, Balakrishnan, G, Fuller, CD, Fuentes, DA, Dohopolski, MJ Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review. Radiotherapy and Oncology 201, 2024. PMID: 39299574.
- Wahid, K, Fuentes, D Weak Supervision, Strong Results. Radiology: Artificial Intelligence 6(1), 2024. PMID: 38294326.
- Wahid KA, Sahlsten J, Jaskari J, Dohopolski MJ, Kaski K, He R, Glerean E, Kann BH, Mäkitie A, Fuller CD, Naser MA, Fuentes D Harnessing uncertainty in radiotherapy auto-segmentation quality assurance. Phys Imaging Radiat Oncol 29:100526, 2024. PMID: 38179210.
- Moawad AW, Fuentes DT, ElBanan MG, Shalaby AS, Guccione J, Kamel S, Jensen CT, Elsayes KM Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities. J Comput Assist Tomogr 46(1):78-90, 2022. PMID: 35027520.
- Bastos DCA, Weinberg J, Kumar VA, Fuentes DT, Stafford J, Li J, Rao G, Prabhu SS Laser Interstitial Thermal Therapy in the treatment of brain metastases and radiation necrosis. Cancer Lett 489:9-18, 2020. PMID: 32504657.
- Bastos DCA, Fuentes DT, Traylor J, Weinberg J, Kumar VA, Stafford J, Li J, Rao G, Prabhu SS The use of laser interstitial thermal therapy in the treatment of brain metastases: a literature review. Int J Hyperthermia 37(2):53-60, 2020. PMID: 32672122.
- Hormuth DA, Jarrett AM, EABF L, McKenna MT, Fuentes DT, Yankeelov TE Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data. JCO Clin Cancer Inform 3:1-10, 2019. PMID: 30807209.
- Khalaf, Fuentes D, Morshid, Burke, Kaseb, Hassan, Hazle, Elsayes A Role of WNT/Catenin Signaling in Hepatocellular Carcinoma, Pathogenesis, and Clinical Significance. Journal of Hepatocellular Carcinoma 5:61, 2018.
- Feng Y, Fuentes D Model-Based Planning and Real-Time Predictive Control for Laser-Induced Theraml Therapy. International Journal of Hyperthermia 27(8):751-61, 2011.
- Stafford RJ, D F, Elliott AA, Weinberg JS, Ahrar K Laser Induced Thermal Therapy for Ablation. Crit Rev Biomed Eng 38(1):79-100, 2010. PMID: 21175405.
Abstracts
- Celaya A, Riviere B, Fuentes D. Fmg-net and w-net: Multigrid inspired deep learning architectures for medical imaging segmentation, 2023. e-Pub 2023.
- Celaya A, Riviere B, Fuentes D. A weighted normalized boundary loss for reducing the hausdorff distance in medical imaging segmentation(2302.03868), 2023. e-Pub 2023.
- Mohamed AS, Abusaif A, Moawad A, Dijk LV, Fuentes D, Elsayes K. International Journal of Radiation Oncology, Biology, Physics 112(5):e30-e31, 2022. e-Pub 2022.
- Abusaif, Moawad A, Dijk L, Fuentes D, Elsayes K, Fuller C, Lai S, Mohamed AA. Radiomic Correlates of Mandibular Osteoradionecrosis After Radiation Treatment of Head and Neck Cancer Patients, 2021. e-Pub 2021.
- Actor J, Fuentes D, Riviere B. Identification of Kernels in a Convolutional Neural Network: Connections Between Level Set Equation and Deep Learning for Image Segmentation, 2020. e-Pub 2020.
- Gates E, Lin J, Weinberg J, Prabhu S, Hamilton J, Hazle J, Fuller G, Baladandayuthapani V, Fuentes D, Schellingerhout AD. Advanced magnetic resonance imaging based algorithm for local grading of glioma, 2020. e-Pub 2020.
- Owens C, Rhee D, Fuentes D, Peterson C, Li J, Salehpour M, Court L, Yang AJ. Automated detection and segmentation of lung tumors using deep learning 46:E447-E448, 2019. e-Pub 2019.
- Mitchell D, Hwang K, Stafford R, Bankson J, Fuentes D. Calibration of synthetic mri acquisition parameters through information theory modeling WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA(46):E128–E128, 2019. e-Pub 2019.
- Castillo E, Fuentes D. Data driven deformable image registration for extreme deformations 46:E128-E128, 2019. e-Pub 2019.
- Baqri M, Kandala S, Fuentes D. A pre-processing filter to improve superparamagnetic iron oxide nanoparticle (SPION)-based early tumor detection, 2019. e-Pub 2019.
- Papadopoulos C, Loudos G, Fuentes D, Kagadis AG. Accuracy optimization in magnetic fluid hyperthermia (mfh) simulations:E436-E436, 2019. e-Pub 2019.
- Bi, L, Sovizi, J, Mathieu, K, Stefan, W, Thrower, S, Hazle, J, Fuentes A, D. Bayesian Inference and Model Selection for Physiologically- Based Pharmacokinetic Modeling of Superparamagnetic Iron Oxide Nanoparticles 10578, 2018. e-Pub 2018.
- Mitchell, Hwang, Zhang, Fuentes D. Information Theory Optimization of Acquisition Parameters for improved Synthetic MRI Reconstruction 10573, 2018. e-Pub 2018.
- Gates E, Pauloski G, Schellingerhout D, Fuentes D. Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction, 2018. e-Pub 2018.
- Thrower, S, Fuentes, D, Stefan, W, Sovizi, J, Mathieu, K, Hazle, J. Sensitivity and Specificity of a Sparse Reconstruction Algorithm for Superparamagnetic Relaxometry 10573:1057327, 2018. e-Pub 2018.
- Stefan, W, Mathieu, K, Thrower, S, Fuentes, D, Kaffes, C, Sovizi, J, Hazle, J. Automated Algorithms for improved Pre-Processing of Magnetic Relaxometry Data 10573:10573, 2018. e-Pub 2018.
- Bastos D, Rao G, Weinberg J, Fuentes DT, Stafford J, S Prabhu AS. Predictors of local control of post SRS brain metastasis treated with LITT. Neuro-Oncology(19(Suppl 6):vi241), 2017. e-Pub 2017.
- Madankan R, MacLellan C, Fahrenholtz S, Weinberg J, Rao G, Hazle J, Stafford R, Fuentes D. Su-f-j-03: Treatment planning for laser ablation therapy in presence of heterogeneous tissue: A retrospective study 43(6 Part8):3406-3406, 2016. e-Pub 2016.
- Fahrenholtz SJ, Madankan R, Hazle JD, Stafford RJ, Fuentes D. SU-C-BRA-03: Prediction of Laser Induced Thermal Therapy: Results of Model Training and Cross Validation 42(6):3196, 2015. e-Pub 2015. PMID: 26127120.
- Figueira T, Fuentes D, McWatters A, Dixon K, Gagea-Iurascu M, and Tam A. Determining the Energy Threshold for Irreversible Electroporation of the Spinal Cord with Mathematical Modeling. Journal of Vascular and Interventional Radiology 26(2):S118-S119, 2015. e-Pub 2015.
- MacLellan CJ, Melancon M, Salatan F, Yang Q, Hwang KP, Fuentes D, and Stafford RJ. MO-FG-BRA-09: Quantification of Nanoparticle Heating and Con- centration for MR-Guided Laser Interstitial Thermal Therapy 42(6):3566-3566, 2015. e-Pub 2015.
- Fahrenholtz S, Fuentes D, Stafford R, and Hazle J. Uncertainty Quantification by Generalised Polynomial Chaos- for MR-Guided Laser Induced Thermal Therapy 39(6):324-335, 2013. e-Pub 2013.
- Yung J, Fuentes D, Hazle J, and Stafford R. A Phantom Validation Study of a 3D Background Phase Model for MR Thermometry 39(6):3664, 2012. e-Pub 2012.
- Yeniaras E, Fuentes D, Fahrenholtz S, He R, Hazle J, and Stafford R J. 3D Slicer Based Approach for Planning and Performing Image Guided Laser Induced Thermal Therapy 5:20, 2012. e-Pub 2012.
- Feng Y, Fuentes D, Stafford RJ, Oden A, JT. Model-Based Real-Time Control for Laser Induced Thermal Therapy with Applications to Prostate Cancer Treatment. SPIE 7175:717515, 2009. e-Pub 2009.
- Oden, JT, Fuentes, D, Bass, J, Feng A, Y. Dynamic-Data-Driven Systems Aid Patient-Specific Cancer Therapy, 2008. e-Pub 2008.
- Feng Y, Fuentes D, Hawkins A, and Oden JT. MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques 2:168-172, 2008. e-Pub 2008.
- Bajaj, C, Oden, JT, Diller, KR, Browne, JC, Hazle, J, Babuska, I, Bass, J, Bidaut, L, Demkowicz, L, Elliot, A, Feng, Y, Fuentes D, Prudhomme, S, Stafford, RJ, Zhang A, Y. Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. Proceedings Lecture Notes in Computer Science 4487:972-979, 2007. e-Pub 2007.
- Oden, J T, Diller, K R, Bajaj, C, Browne, J C, Hazle, J, Babuska, I, Bass, J, Demkowicz, L, Elliott A, Feng, Y, Fuentes, D, Prudhomme, S, Rylander, MN, Stafford JS, Zhang Y. Development of a Computational Paradigm for Laser Treatment of Cancer. Proceedings Lecture Notes Computer Science 3993:530-537, 2006. e-Pub 2006.
Book Chapters
- Diller K R, Oden J T, Bajaj C, Browne J C, Hazle J, Babuška I, Bass J, Bidaut L, Demkowicz L, Elliott A, Feng Y, Fuentes D, Goswami S, Hawkins A, Khoshnevis S, Kwon B, Prudhomme S, and Stafford R J. Chapter 9: Computational Infrastructure for the Real-Time Patient-Specific Treatment of Cancer. In: Advances in Numerical Heat Transfer, Editor W.J. Minkowycz and E.M. Sparrow, volume 3. Taylor & Francis Group, 2008.
Selected Presentations & Talks
Local Presentations
- 2024. D. Fuentes. An interpretable machine learning model for glioma prognosis. Invited. Next-Generation Computational Bio-Imaging Conference. Houston, Texas, US.
- 2024. D. Fuentes. Imaging Biomarker Development for Detection of Hepatocellular Carcinoma. Invited. PDAC Imaging Consortium-Virtual. Houston, Texas, US.
- 2024. D. Fuentes. Imaging Biomarker Development for Detection of Hepatocellular Carcinoma. Invited. Mathworks Workshop, Biomedical Systems Engineering - Advanced Techniques for Biomedical Signal and Image Processing and Device Modeling. Houston, Texas, US.
- 2023. D. Fuentes, An Efficient Neural Network for Medical Image Analysis. Invited. Translational Molecular Pathology Research Retreat,MDA. Houston, TX, US.
- 2023. D. Fuentes. Relationship between MR image quality metrics and neural network segmentation accuracy. Tumor Measurement Initiative Symposium, MDA. Houston, TX, US.
- 2021. DRP project: Quantitative imaging for risk stratification and early detection of hepatocellular carcinoma. MDA SPORE, US.
- 2021. The Stereotactic RadPath Trial: Clinical aspects and Analytics. Invited. IGCT Seminar Series at MD Anderson, US.
- 2009. Computational and MR-guided Patient Specific Thermal Therapy of Cancer. Conference. Southwest Chapter of the AAPM Fall Meeting. Houston, TX, US.
Regional Presentations
- 2021. AI and multiparametric mapping (EPM) for early detection of hepatocellular carcinoma on MRI scans. Invited. NIH GI SPORE, US.
- 2021. How to Launch a successful Career. Invited. STM, US.
- 2017. Prediction of TACE Treatment Response of HCC Patients. Conference. Radiomics Meeting. Clearwater, FL, US.
- 2015. Image segmentation for Monitoring Treatment Response. Conference. Radiomics Meeting. Clearwater, FL, US.
National Presentations
- 2024. Liver segmentation: practical applications of machine learning in preoperative assessment, prediction and evaluation of treatment response. Invited. 109th Annual Meeting, US.
- 2024. Enhancement Pattern Mapping (EPM) Signatures in Pre-Diagnostic MRIs Associate with Hepatocellular Carcinoma Time-To-Disease and Differentiate Cases/Controls. Invited. Cancer Biomarkers AI and Bioinformatics Workshop. Pasadena, California, US.
- 2024. Quantum computing based image segmentation for treatment planning applications. Invited. Houston, Texas, US.
- 2024. Preliminary analysis and challenges with simulation and verification of thermoembolization. Invited. STM 2024 Annual Meeting. Houston, Texas, US.
- 2024. Development of an Imaging Biomarker for Detection of Hepatocellular Carcinoma. Invited. SIAM Conference on Imaging Science. Atlanta, Georgia, US.
- 2024. Development of Segmentation Model for Liver on MR Imaging. Invited. Houston, Texas, US.
- 2024. Computational modeling of magnetic nanoparticle hyperthermia to predict the spatial distribution of intratumoral temperatures: Preliminary study. Invited. Houston, Texas, US.
- 2024. Volumetric CT Assessment of In Situ Induced Hepatic Lesions of an Oncopig Model. Conference. Annual Meeting, SIR. Salt Lake City, UT, US.
- 2024. Brain Tumor GTV Cavity Resection Model. Tumor Measurement Initiative Symposium. Houston, Texas, US.
- 2024. Imaging Pathology Correlations for Gliomas. Invited. Houston, Texas, US.
- 2023. Clinical Application of Artificial Intelligence (AI) in Chronic Liver Diseases Management. Conference. Radiological Society of North America, US.
- 2023. Flow and Transport in the Liver Organ. Conference. Annual Meeting, SIAM TX-LA Section. Lafayette, LA, US.
- 2023. Multigrid Inspired Deep Learning Architectures for Medical Imaging Segmentation. Conference. Annual Meeting,SIAM TX-LA Section. Lafayette, LA, US.
- 2023. Multigrid Inspired Deep Learning Architectures for Medical Imaging Segmentation. Conference. Rice University. Houston, TX, US.
- 2023. Interactive Liver Segmentation. Conference. Keck Annual Research Conference. Houston, TX, US.
- 2023. Automatic contouring and VMAT Treatment Planning for Rectal Cancers. Conference. American Association of Physicists in Medicine (AAPM). Houston, TX, US.
- 2023. An end-to-end radiotherapy treatment planning pipeline for various treatment scenarios of prostate cancer. Conference. American Association of Physicists in Medicine (AAPM). Houston, TX, US.
- 2023. Review of Quantum/Classical Image Processing Algorithms for Medical Images. Conference. American Association of Physicists in Medicine (AAPM. Houston, TX, US.
- 2023. Evaluating dosimetric impact of geometric indices reported in autosegmentation performance on clinical plans- Do geometric indices for autosegmentation models correlate with meaningful dosimetric impacts?. Conference. American Association of Physicists in Medicine (AAPM). Houston, TX, US.
- 2023. Development of a Cell Damage Model for Thermoembolization. Conference. STM 2023 Annual Meeting. San Diego, CA, US.
- 2022. Automating Contouring and Treatment Planning for Pediatric 3D-Craniospinal Irradiation Therapy. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2022. Characterization of the Imaging Signature of Hepatocellular Carcinoma with Enhancement Pattern Mapping. Conference. The Liver Meeting. Washington D.C, US.
- 2022. To Be or Not To Be Appendicitis: As Diagnosed by Deep Learning Algorithms. Conference. Radiologists, and Residents Radiological Society of North America. 108th Annual Meeting, US.
- 2022. Interactive Brain Tumor Segmentation Using Convolutional Neural Networks. Conference. Gulf Coast Consortia. Houston, TX, US.
- 2022. Pulse Sequence Design for Hyperpolarized Data Acquisition in Brain. Invited. CMMCA 2022, US.
- 2022. Sensitivity Analysis On the Relationship Between Dose and Overlap Metrics for Head & Neck Normal Tissues. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2022. Evaluating the Relationship Between MR Image Quality Measures and Deep Learning-Based Brain Tumor Segmentation Accuracy. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2022. Automated rectal cancer radiotherapy planning. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2022. Automated Pipeline for Prostate Auto-Contouring and VMAT Planning. Conference. American Association of Physicists in Medicine (AAPM) Annual Meeting, US.
- 2022. Development of a Cell Damage Model for Thermoembolization. Conference. STM 2022 Annual Meeting, US.
- 2022. Characterization of Cellular Response to Endovascular Ablative Therapies. Conference. Summer Biomechanics, Bioengineering, and Biotransport Conference, US.
- 2022. A fully-automated field-in-field algorithm for rectal cancer. Conference. American Association of Physicists in Medicine (AAPM), US.
- 2021. Imaging Based Prediction of Proliferative Foci as a Target for Surgical Intervention Across Glioma Grades. Conference. Imaging Based Prediction of Proliferative Foci as a Target for Surgical Intervention Across Glioma Grades, US.
- 2021. A Fully-Automated Field-In-Field Algorithm Translatable to Multiple Disease Sites. Conference. A Fully-Automated Field-In-Field Algorithm Translatable to Multiple Disease Sites, US.
- 2021. Automatic Segmentation and Physician Review of Intact and Post-Operative Prostate Radiotherapy Contours. Conference. Automatic Segmentation and Physician Review of Intact and Post-Operative Prostate Radiotherapy Contours, US.
- 2021. Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation. Conference. Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation, US.
- 2021. Level Set Networks for Image Segmentation. Conference. SIAM Computational Science and Engineering, US.
- 2021. Lipschitz Regularization of Convolution Operators for Stable Image Segmentation. Conference. Lipschitz Regularization of Convolution Operators for Stable Image Segmentation, US.
- 2020. Automated Cerebrospinal Fluid ROI Selection on Brain Magnetic Resonance Images. Poster Talk. Conference. 30th Annual Keck Center Research Conference: A Science Odyssey, 2020, US.
- 2020. Stabilized Image Segmentation in the Presence of Noise. Poster Talk. Conference. 30th Annual Keck Center Research Conference: A Science Odyssey, 2020, US.
- 2020. Schellingerhout. Predicting Local Brain Tumor Pathology to Inform Prognosis and Improve Surgery, Plenark Talk. Conference. 30th Annual Keck Center Research Conference: A Science Odyssey, 2020, US.
- 2020. Incorporating GTV Information in a Multi-Stage Process to Improve Automatically Generated Field Apertures for Rectal Cancer Radiotherapy, Virtual. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2020. Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery, Virtual. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting, US.
- 2020. Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery, Plenary Talk. Conference. Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery, Plenary Talk, US.
- 2020. Convolutional Neural Networks for Medical Image Analysis, What the Future Radiologist Needs to Know. Conference. American Roentogen Ray Society (ARRS) Annual Meeting, US.
- 2020. Stabilizing Deep Convolutional Neural Networks for Image Segmentation. Poster. Conference. In Ken Kennedy Institute Rice Oil and Gas High Performance Computing Conference 2020, US.
- 2020. A preprocessing filter to improve superparamagnetic iron oxide nanoparticle (SPION) – based early tumor detection. Conference. A preprocessing filter to improve superparamagnetic iron oxide nanoparticle (SPION) – based early tumor detection, US.
- 2020. Combination of MRI Sequences Predicts Cellular Density in Glioma. Conference. American Medical Informatics Association Summit. Houston, TX, US.
- 2020. Combination of MRI Sequences Predicts Cellular Density in Glioma. Conference. American Medical Informatics Association Virtual Summit. Houston, TX, US.
- 2020. Combination of MRI Sequences Predicts Cellular Density in Glioma. Conference. American Medical Informatics Association Summit. Houston, TX, US.
- 2020. Artificial intelligence Primer for Beginners; Definitions, Applications and Simple Explanations in Abdominal imaging. Conference. SAR Annual Scientific Meeting, US.
- 2020. Radiomics and the Adrenal Gland: An Overview. Conference. SAR Annual Scientific Meeting, US.
- 2020. Liver Imaging in the Era of Artificial Intelligence: Current Indications and Future Prespective. Conference. SAR Annual Scientific Meeting, US.
- 2020. Myeloperoxidase-produced hocl is a paracrine effector linking myeloid cells to nf-κb signaling in melanoma, mediating anti-tumor responses during early melanoma progression. Conference. Myeloperoxidase-produced hocl is a paracrine effector linking myeloid cells to nf-κb signaling in melanoma, mediating anti-tumor responses during early melanoma progression, US.
- 2019. Kernel Analysis of a Neural Network for Liver Segmentation. Conference. 29th Annual Keck Center Research Conference: Precision Environmental Health, US.
- 2019. Artificial Intelligence in Diagnostic Imaging: Current Applications and Future Perspective. Conference. Educational Exhibit, Radiological Society of North America. 105th Annual Meeting, US.
- 2019. Radiomics and Enhancement Ratio in Colorectal Cancer (CRC) Liver Metastases: Determination of Mutational Status. Conference. Educational Exhibit, Radiological Society of North America. 105th Annual Meeting, US.
- 2019. Adrenal Imaging in the Era of Radiomics: Current Indications and Future Perspective. Conference. Educational Exhibit, Radiological Society of North America. 105th Annual Meeting, US.
- 2019. Combination of Multicontrast MRI Estimates Local Glioma Malignancy. Conference. 2019 Southern Methodist University. Dallas, TX, US.
- 2019. Identification of Kernels in a Convolutional Neural Network: Connections Between Level Set Equation and Deep Learning for Image Segmentation. Conference. Ken Kennedy Institute Rice Data Science Conference, US.
- 2019. A Comparison of Image Segmentation Methods. Conference. SIAM Gene Golub Student Summer School, US.
- 2019. Validation of Gaussian Process Uncertainty Estimates in Registration of MRI Datasets. Conference. Second Workshop for Research Challenges and Opportunities at the Interface of Machine Learning and Uncertainty Quantification. Los Angeles, CA, US.
- 2019. Conditional Mutual Information to Quantify Information Content of Sequential Synthetic MRI Acquisitions. Conference. 15th U.S. National Congress on Computational Mechanics, US.
- 2019. Opening the Black Box of a Convolutional Neural Network Used for Brain Tumor Segmentation. Conference. CPRIT CURE Summer Undergraduate Research Program, US.
- 2019. Guiding the First Biopsy in Glioma Patients Using Estimated Ki-67 Maps Derived from MRI. Conference. National Library of Medicine Training Conference. Indianapolis, IN, US.
- 2019. Mathematical model developments for thermoembolization. Conference. STM 2019 Annual Meeting. St. Pete Beach, FL, US.
- 2019. Data-driven methodologies for guiding treatment planning of MRgLITT. Invited. STM, US.
- 2019. Area under the time-to-Signal intensity curve from dynamic contrast-enhanced magnetic resonance imaging correlates with time-to-progression in patients with brain metastases receiving laser interstitial thermal therapy. Conference. AANS Annual Meeting. San Diego, CA, US.
- 2019. A Comparison of Image Segmentation Methods, March 2019. Rice Oil and Gas High Performance Computing Conference. Conference. A Comparison of Image Segmentation Methods, March 2019. Rice Oil and Gas High Performance Computing Conference. Houston, TX, US.
- 2019. Estimated Maps of Proliferative Activity Present Alternative Targets For Initial Glioma Biopsy. Conference. Intraoperative Imaging Society. Houston, TX, US.
- 2018. Machine Learning Models for Prediction of Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization. Conference. Radiological Society of North America. 104th Annual Meeti, US.
- 2018. Development and Calibration of Patient -Specific Tumor Growth Model for Predictig the Response of epatocellulat Carcinoma. Conference. 30th Anniversary AACR Special Conference Convergence: Artificial Intelligence, Big Data, and Prediction in Cancer, US.
- 2018. Optimizing Deep Learning Methods for Image Segmentation with Distributed Training. Conference. TACC Symposium for Texas Researchers (TACCSTER). Austin, TX, US.
- 2018. Mathematical Model Based Predictions for LITT. Invited. CNS Annual Meeting. Tumor Section Satellite Symposium. Houston, TX, US.
- 2018. Mathematical Model Development for Thermochemical Ablation. Conference. CPRIT Program Trainee Day, MD Anderson. Houston, TX, US.
- 2018. Quantitative Prediction of Cellular Proliferation Marker Ki67 Using MR Imaging in Glioma. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Nashville, TN, US.
- 2018. Comparison of Two Reconstruction Methods for Bound-Nanoparticle Detection Using Superparamagnetic Relaxometry. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Nashville, TN, US.
- 2018. Convolutional Neural Networks for Fully Automatic Segmentation of Lung Tumors in CT Images. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Nashville, TN, US.
- 2018. Therapy Response Prediction in Liver. Conference. SIAM Annual Meeting. Portland, OR, US.
- 2018. Improved Synthetic MRI Reproducibility Through Mutual Information Optimization of Acquisition Parameters. Conference. DI Trainee Research Symposium, Poster Presentation, US.
- 2018. Quantitative CT. Conference. AHPBA Annual Meeting. Miami, FL, US.
- 2018. Role of Radiomic Texture Analysis Mapping in Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Conference. American Roentogen Ray Society (ARRS) Annual Meeting, US.
- 2018. Decoding of the Patatin-Like Phospholipase Domain Containing 3 (PNPLA3) Gene Phenotype Using Noninvasive Imaging Quantitative Radiomics Approach. Conference. American Roentogen Ray Society (ARRS) Annual Meeting, US.
- 2018. Quantifying HCC Response to TACE Using Existing Criteria and Fully Automated Volumetric segmentation. Conference. American Roentogen Ray Society (ARRS) Annual Meeting, US.
- 2018. Quantitative CT Imaging Features Correlate with Colorectal Cancer Liver Metastases (CLM) Mutational Status. Conference. AHPBA meeting, US.
- 2018. Radiological-Pathological Correlations and Imaging Signatures for Gliomas. Conference. 56th Annual Meeting of the American Society of Neuroradiology, US.
- 2017. Multiparametric Imaging Correlations with Pathology in a HCC Rat Model. Conference. Radiological Society of North America. 103th Annual Meeting, US.
- 2017. Hepatocellular Carcinoma (HCC) Response to Transcatheter Arterial Chemoembolization (TACE) and Its Correlation with HCC Tumor Volumes. Conference. Radiological Society of North America. 103th Annual Meeting, US.
- 2017. Hepatocellular Carcinoma (HCC) Response to Transcatheter Arterial Chemoembolization (TACE) and Its Correlation with HCC Tumor Volumes. Conference. Radiological Society of North America. 103th Annual Meeting, US.
- 2017. 3D Reconstruction of Cancer-Bound Nanoparticles Using Superparamagnetic Relaxometry. Conference. SIAM Houston Imaging Sciences Symposium, US.
- 2017. A Heterogeneous Tissue Model for Treatment Planning in Laser Induced Thermal Therapy. Conference. 14th U.S. National Congress on Computational Mechanics, US.
- 2017. Imaging Based Measurements for Therapy Response Prediction. Invited. STM Presidents Symposium, US.
- 2017. A Heterogeneous Tissue Model for Treatment Planning in Laser Induced Thermal Therapy. Conference. Society for Thermal Medicine, Poster Presentation, US.
- 2017. Stability of Information Theoretic K-Space Trajectories for Model-Based MR Thermal Image Reconstruction abstract. Conference. Advances in Computational Sciences and Engineering, A conference in honor of the 80th birthday of Prof. J. Tinsley Oden, US.
- 2017. A 3D Reconstruction Algorithm for Superparamagnetic Relaxometry. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Denver, CO, US.
- 2017. Surg-27. Predictors of Local Control of Post SRS Brain Metastasis Treated with LITT. Conference. Neuro-Oncology, US.
- 2017. Binaray Classification of Superparamagnetic ralaxometry Data for Cancer Screening. Conference. Binaray Classification of Superparamagnetic ralaxometry Data for Cancer Screening, US.
- 2017. Volumetric Reconstruction of Targeted Nanoparticles for Superparamagnetic Ralxometry. Conference. Volumetric Reconstruction of Targeted Nanoparticles for Superparamagnetic Ralxometry, US.
- 2017. Quantitative CT Imaging Features for EHpatocellular carcinoma (HCC) with B-Catenin (ctnnb1) Gene Mutation. Conference. Journal of Clinical Oncology, 35(4):253, US.
- 2016. RECIST 1.1 Criteria and Quantitative CT Image Features to Predict Pathologic Response Response to Immunotherapy in Melanoma: Preliminary Findings. Conference. Radiological Society of North America. 102th Annual Meeting, US.
- 2016. A Heterogeneous Tissue Model for Treatment Planning in Laser Induced Thermal Therapy. Conference. 11th Interventional MRI Symposium. Baltimore, MD, US.
- 2016. Validation of Image Registration Methods for Brain Magnetic Resonance Imaging. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Washington, DC, US.
- 2016. Treatment Planning for Laser Ablation Therapy in Presence of Heterogeneous Tissue: A Retrospective Study. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Washington, DC, US.
- 2016. Flexible Training of MR-Guided Laser Ablation Models Via Global Optimization. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Washington, DC, US.
- 2016. Investigation of MRI Derived Thermal Dose Models. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Washington, DC, US.
- 2016. Sparse Source Reconstruction for Nanomagnetic Relaxometry. Conference. SIAM Conference on Imaging Science, US.
- 2016. Background Signal Suppression for Magnet Resonance (mr) Phase Images abstract. Conference. SIAM Conference on Imaging Science, US.
- 2016. Stability of Information Theoretic K-Space Trajectories for Model-Based MR Thermal Image Reconstruction abstract. Conference. SIAM Conference on Imaging Science, US.
- 2016. Information Theoretic Approach for Accelerated Magnetic Resonance Thermometry in the Presence of Uncertainties Abstract. Conference. SIAM Conference on Imaging Science, US.
- 2016. A Sparse Approximation Reconstruction Algorithm for Superparamagnetic Relaxometry. Conference. DI Trainee Research Symposium - Poster, US.
- 2016. Development of a Prediction Technique for Tissue Features using Radiological-Pathological Correlations. Conference. . DI Trainee Research Symposium - Poster, US.
- 2016. Effect of Different Tissue Segmentation Schemes on Precise Treatment Planning of Laser Induced Thermal Therapy: A Retrospective Study. Conference. 33nd Annual Meeting of the Society for Thermal Medicine. New Orleans, LA, US.
- 2016. Laser Ablation Prediction Via Global Optimization and Cross Validation. Conference. 33rd Annual Meeting of the Society for Thermal Medicine. New Orleans, LA, US.
- 2016. A Patient Derived Logistic Model of Thermal Dose. Conference. 33nd Annual Meeting of the Society for Thermal Medicine. New Orleans, LA, US.
- 2015. Accelerated Model-based Signal Reconstruction for Magnetic Resonance Thermometry Data in Presence of Uncertainties. Conference. 13th United States National Congress on Computational Mechanics conference. San Diego, CA, US.
- 2015. Magnetic Resonance Based Quantication of Nanoparticle Distribution and Heating in Nanoparticle Mediated Laser Interstitial Thermal Therapy (npLITT). Conference. 32nd Annual Meeting of the Society for Thermal Medicine, US.
- 2015. Results of Cross Validation From A Trained Model for Laser Induced Thermal Therapy. Conference. 32nd Annual Meeting of the Society for Thermal Medicine, US.
- 2015. Accurate Modeling of Laser Induced Thermal Therapy in Presence of Heterogeneous Tissue. Conference. 32nd Annual Meeting of the Society for Thermal Medicine. Orlando, FL, US.
- 2014. Preliminary Predictions from an inverse problem-trained model. Conference. Image-Guided Therapy workshop. Cambridge, MN, US.
- 2014. A Moving Least Squares Approach for Computing Spatially Accurate Transformations That Satisfy Strict Physiologic Constraints. Conference. American Association of Physicists in Medicine (AAPM): Annual Meeting. Austin, TX, US.
- 2014. Morphometry Based Mea- surements of the Structural Response to Whole Brain Radiation. Conference. Ameri- can Association of Physicists in Medicine (AAPM): Annual Meeting. Austin, TX, US.
- 2014. Inverse problem statistics of optical parameter inference in brain MR-guided laser induced thermal therapy. Conference. STM 2014 Annual Meeting. Minneapolis, MN, US.
- 2014. A Portable Treatment Planning System for MR-Guided Thermal Therapy. Conference. NSF SBIR/STTR 2014, Phase II Grantee Conference. Baltimore, MD, US.
- 2013. Clinical Symptoms of Radiation Pneumonitis Correlate with Pulmonary Metabolic Radiation Dose-Response in Lung Cancer Patients. Conference. NCI Joint Workshop: Technology for Innovation in Radiation Oncology. Bethesda, MD, US.
- 2013. The Impact of Uncertainty in Nonlinear Temperature Dependent Constitutive Parameters on Predictive Computer Modeling of MRgLITT Procedures. Conference. ISMRM. Salt Lake City, UT, US.
- 2013. Planning of MR-Guided Laser Induced Thermal Therapy Using UQ Methods. Conference. SIAM Computational Science and Engineering. Boston, MA, US.
- 2012. UQ Based Planning of MR Guided Laser Induced Thermal Therapy in Brain. Conference. SAMSI. UQ Transition Workshop. Research Triangle Park, NC, US.
- 2012. Kalman Filtered Temperature Imaging for Monitoring MRgLITT procedures. Conference. STM 2012 Annual Meeting. Portland, OR, US.
- 2011. Prospective Planning of MR guided Laser Induced Thermal Therapy in Brain. Conference. National Congress on Computational Mechanics. Minneapolis, MN, US.
- 2011. High Fidelity Computer Models for Prospective Treatment Planning of Radiofrequency Ablation. Conference. STM 2011 Annual Meeting. New Orleans, LA, US.
- 2010. Real-Time Model Assisted MR Temperature Imaging for Monitoring LITT Procedures. Conference. BMES 2010 Annual Meeting. Austin, TX, US.
- 2009. Computational and MR-guided Patient Specific Thermal Therapy of Cancer. Conference. Southwest Chapter of the AAPM Fall Meeting. Houston, TX, US.
- 2008. Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer. Conference. Seventh Interventional MRI Symposium. Baltimore, MD, US.
- 2008. Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer. Invited. Seventh Interventional MRI Symposium. Baltimore, MD, US.
- 2007. A Data Driven Application System for Laser Treatment of Cancer. Conference. National Congress on Computational Mechanics. San Francisco, CA, US.
International Presentations
- 2023. Characterization of the Imaging Signature of Hepatocellular Carcinoma with Enhancement Pattern Mapping. Conference. The Liver Meeting. Vienna, AT.
- 2019. Efficient and Robust CT Image Segmentation with a Level Set Network. Conference. AMIA Annual Symposium. Washington, D.C, US.
- 2019. A preprocessing filter to improve superparamagnetic iron oxide nanoparticle (SPION) – based early tumor detection. Conference. Applied Nanotechnology and Nanoscience International Conference, US.
- 2019. Effects of acquisition and compressed sensing reconstruction parameters on 3D-QALAS multi-parameter quantitation and synthetic imaging of the brain. Conference. ISMRM. Montreal, CA.
- 2019. Information Quantification of Subsequent Acquisitions for Minimizing Synthetic MRI Reconstruction Uncertainty. Conference. ISMRM. Montreal, CA.
- 2018. Deep Learning Based Classification Method for Automatic Detection pf Bad Trials in Magnetic Relaxometry. Conference. World Molecular Imaging Congress (WMIC) 2018, Annual Meeting. Seattle, US.
- 2018. Information Theory Quantification of Acquisition Parameter Impact on Synthetic MRI Reconstruction Uncertainty. Conference. ISMRM. Paris, FR.
- 2017. MRgLITT Induced Perfusion Changes Assessed by DCE-MRI. Conference. Neuro-Oncology. Hannover, DE.
- 2016. Sparse Source reconstruction for Nanomagnetic Relaxometry. Conference. International Workshop on Magnetic Particle Imaging, US.
- 2015. Characterization of Thermochemical Ablation Injections Using 23Na MRI. Conference. ISMRM. Toronto, CA.
- 2015. Model-Based Reconstruction of Hyperpolarized [1-13C]-Pyruvate. Conference. ISMRM. Toronto, CA.
- 2014. MR Monitoring of Thermochemical Ablation Injections. Conference. Tenth Interventional MRI Symposium. Leipzig, DE.
- 2014. Real-time multi-parametric thermal therapy monitoring: GPU versus CPU. Conference. ISMRM. Milan, IT.
- 2014. A Hybrid T1/T2*/PRF Pulse Sequence with Improved Spectral Resolution. Conference. ISMRM, IT.
- 2013. Pre-Radiotherapy FDG PET Predicts Radiation Pneumonitis in Non-Small Cell Lung Cancer Patients. Conference. Society of Nuclear Medicine and Molecular Imaging, CA.
- 2013. Fast Steady State Solution for Simulating Bioheat Distribution for Image Guided Laser Ablation. Conference. STM 2013 Annual Meeting, AW.
- 2011. Kalman Filtered MR Temperature Imaging. Conference. ISMRM 2011 Annual Meeting, CA.
- 2010. MR Temperature Imaging Validation of a Bioheat Transfer Model for 3D Prospective Planning of LITT. Conference. Eighth Interventional MRI Symposium, DE.
- 2010. Real-Time Bioheat Transfer Models for Computer Driven MR guided LITT. Conference. ISMRM. Stockholm, SE.
- 2006. Development of a Computational Paradigm for Laser Treatment of Cancer. Conference. World Congress on Computational Mechanics. Los Angeles, US.
Formal Peers
- 2023. Biomedicine & Health. Invited. Digital Twins Workshop, Santa Fe Institute. Santa Fe, NM, US.
- 2022. Optimal experimental design for hyperpolarized data acquisition in brain. Invited. The University of Texas at Austin, US.
- 2022. Mutual Information Optimization for Hyperpolarized Pulse Sequence Design in Brain. Invited. Baylor College of Medicine, US.
- 2022. An Information Theoretic Approach Toward Hyperpolarized Data Acquisition in Brain. Invited. USACM Thematic Conference on the Role of Mathematical and Computational Modeling in Cancer Research, US.
- 2020. Imaging Informed Machine Learning Models for The Local Grading of Glioma. Invited. Gulf Coast Consortia, 2nd Annual Translational Imaging Conference: AI and Machine Learning in Imaging, US.
- 2019. Application of HPC for Prediction of Liver cancer Treatment Response. Invited. Lunch and Learn, US.
- 2018. A Mathematical Model Development for Prediction of Liver Cancer Treatment Response. Invited. Image Analysis Seminar, Department of Mathematics, University of Houston, US.
- 2018. Model Based Prediction for Transarterial Chemoembolization. Invited. The University of Texas at Austin. Austin, TX, US.
- 2017. Quantitative Imaging Measurements for Therapy Response Prediction. Invited. CAAM Colloquium Rice University. Houston, TX, US.
- 2015. Alternative Career Path Options: Predictive Modeling for Image- Guided Therapy. Invited. The University of Texas at Austin. Austin, TX, US.
- 2015. Imaging Based Measurements for Therapy Response Prediction. Invited. The University of Texas at Austin. Austin, TX, US.
- 2014. Predictive Medicine and Image-Guided Cancer Surgery Using Computer Simulation and Data Processing. Invited. The University of Texas San Antonio. San Antonio, TX, US.
- 2012. Computer Model Assisted Treatment Planning and Data Assimilation for MRgLITT. Invited. Rice University. Houston, TX, US.
- 2011. Computer Model Assisted Planning and Monitoring for MRgLITT. Invited. Memphis BioImaging Symposium. Memphis, TN, US.
- 2011. Computational Tools for MR Guided Laser Induced Thermal Therapies. Invited. Shell Bellaire Technology Center. Houston, TX, US.
- 2010. Development and Integration of High-Performance Computation and Simulation in MR-Guided Thermal Therapy. Invited. The University of Texas MD Anderson Cancer Center. Houston, TX, US.
- 2009. Image-Based Biomedical Simulation and Parallel Computing. Invited. The University of Texas at San Antonio. San Antonio, TX, US.
- 2008. Remote Laser Cancer Surgery: A Minimally Invasive Alternative to the Standard Treatment. Invited. The Austin Forum. Austin, TX, US.
Grant & Contract Support
| Date: | 2026 - 2029 |
| Title: | Collaborative Research: Math-DT: Advances in Digital Twin Modeling using Fast and Validated Low-Fidelity Surrogates for Biological Systems |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| ID: | TPI 249578 |
| Date: | 2026 - 2031 |
| Title: | Developing Exothermic Embolization as a New Multiplex Strategy to Improve Outcomes in Liver Cancer |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA307067-01 |
| Date: | 2025 - 2030 |
| Title: | A Multi-Scale Computational Approach in Spatial Biology to Understand Lung Carcinogenesis Evolution for Effective Cancer Prevention |
| Funding Source: | NIH |
| Role: | Mentor |
| ID: | 1K99……-01 |
| Date: | 2025 - 2023 |
| Title: | Interpretable Neural Network Decompositions for Risk Stratification in Precision Medicine |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA308691-01 |
| Date: | 2025 - 2027 |
| Title: | Expanding access to clinical research with a light-weight toolbox |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R03CA308461-01 |
| Date: | 2025 - 2029 |
| Title: | Catalyzing a Cure for Oncogene Addicted Lung Cancers |
| Funding Source: | Break Through Cancer Foundation |
| Role: | Co-I |
| ID: | AWD00008768 |
| Date: | 2025 - 2030 |
| Title: | Personalized Cardio-Oncology through Blood and Digital Biomarker Monitoring of Cardiovascular Risk in Thoracic Radiotherapy |
| Funding Source: | NIH/NCI-sub through Massachusetts General Hospital |
| Role: | PI |
| Date: | 2025 - 2023 |
| Title: | Clinical and radiomic tools linking interstitial lung disease risk markers to immune checkpoint inhibitor pneumonitis |
| Funding Source: | NIH |
| Role: | PI |
| Date: | 2025 - 2030 |
| Title: | A Multiscale Modeling to Delineate the Evolution from Precancer to Invasive Lung Adenocarcinoma |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA303142-01 |
| Date: | 2025 - 2030 |
| Title: | Intracellular Magnetic Hyperthermia using Superparamagnetic iron nanoparticles (SPINs) for Advanced Breast and Prostate Cancer Therapy |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | RO1 |
| Date: | 2025 - 2030 |
| Title: | Determining Myeloid Cell Spatiotemporal Mechanisms of Response and Resistance to Immunotherap |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA303953-01 |
| Date: | 2025 - 2030 |
| Title: | Intracellular Magnetic Hyperthermia using Superparamagnetic iron nanoparticles (SPINs) for Advanced Breast and Prostate Cancer Therapy |
| Funding Source: | University of Texas El Paso |
| Role: | Co-I |
| Date: | 2025 - 2032 |
| Title: | Novel approaches to targeting therapeutic resistance in oncogene-driven NSCLC |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R35CA305297-01 |
| Date: | 2025 |
| Title: | Early Detection and Risk Modeling of Pancreatic Cancer - Project 2: Leveraging Real World Longitudinal Imaging Data for Prediction of Early Stage PDAC |
| Funding Source: | SponsorNIH – sub through University of California- San Diego |
| Role: | PI |
| Date: | 2025 - 2028 |
| Title: | To develop and validate personalized cardiovascular point-of-care tools for female breast cancer patients using precision medicine and AI/ML approaches |
| Funding Source: | University of Texas – Southwest Medical Center |
| Role: | PI |
| ID: | 1R01HL180971-01 |
| Date: | 2025 - 2027 |
| Title: | AI-powered Multiscale Digital Twin to Personalize Immunotherapy |
| Funding Source: | The Andrew Sabin Family Foundation |
| Role: | PI |
| Date: | 2025 - 2030 |
| Title: | Integration of radiomic and circulating cell-free DNA methylation signatures in early detection of HPV-positive oropharyngeal cancer recurrence after initial treatment |
| Funding Source: | NIH/NIDCR |
| Role: | PI |
| ID: | 1R01DE034605-01A1 |
| Date: | 2025 - 2030 |
| Title: | Interpretable machine learning predictions for prognosis in glioma patients |
| Funding Source: | National Institutes of Health (NIH) |
| Role: | PI |
| ID: | 1R01CA302929-01 |
| Date: | 2025 - 2030 |
| Title: | Delivery optimization of a transarterial ablative therapy |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA301555-01 |
| Date: | 2025 - 2030 |
| Title: | Reprogram innate immunity for lung cancer immunoprevention |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | UG3CA290311 |
| Date: | 2025 - 2026 |
| Title: | Fast Track: Image Guided Cancer Therapy Training Program |
| Funding Source: | NIH |
| Role: | PI |
| Date: | 2025 - 2026 |
| Title: | Fast Track: Interdisciplinary Translational Pre/Postdoctoral Program in Cancer Nanotechnology |
| Funding Source: | NIH |
| Role: | Co-PI |
| Date: | 2025 - 2026 |
| Title: | 22nd IEEE International Symposium on Biomedical Imaging (ISBI 2025) |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R13EB037423-01 |
| Date: | 2025 - 2027 |
| Title: | MR relaxometry for robust deployment of machine learning algorithms |
| Funding Source: | MD Anderson Internal Research Grant |
| Role: | Co-I |
| Date: | 2025 - 2030 |
| Title: | Integration of Magnetic Resonance Imaging and Blood-based Human Papillomavirus (HPV) DNA Genotyping to Predict Response to Chemoradiotherapy in Cervical Cancer (IMPACT) |
| Funding Source: | NIH/NCI |
| Role: | MPI |
| ID: | 1R01CA289266-01A1 |
| Date: | 2025 - 2030 |
| Title: | The Stereotactic Radiologic-Pathologic Imaging Trial: Improving Image-Guided Treatment Planning for Adult Glioma |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| ID: | 1R01CA294055-01A1 |
| Date: | 2025 - 2030 |
| Title: | Safety and Efficacy Studies of Image-Guided Reactive Embolization as a Fundamentally New Strategy to Treat Primary Liver Cancer |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R01CA301554-01 |
| Date: | 2025 - 2028 |
| Title: | Dissecting mechanisms of resistance to immune checkpoint blockade in NSCLC through the interplay of molecular and spatial architecture |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | RP250399 |
| Date: | 2025 - 2029 |
| Title: | Serum cell-free DNA methylation and radiomics signatures for the early detection of recurrence after initial treatment in HPV-associated oropharyngeal cancer |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP250156 |
| Date: | 2025 - 2028 |
| Title: | Improving Detection of Hepatocellular Carcinoma in Non-Cirrhotic Metabolic Dysfunction Associated Steatohepatitis (MASLD) Patients |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP250154 |
| Date: | 2025 - 2026 |
| Title: | Fully automated image analysis of small adrenal tumors |
| Funding Source: | Society of Abdominal Radiology |
| Role: | Co-I |
| Date: | 2025 - 2026 |
| Title: | Hybridizing mechanistic mathematical modeling with deep learning methods to predict individual cancer patient survival after immune checkpoint inhibitor therapy |
| Funding Source: | NIH |
| Role: | Co-I |
| Date: | 2024 - 2029 |
| Title: | Imaging and Genomic biomarkers for detection of MASLD-related HCC |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA296012-01 |
| Date: | 2024 - 2025 |
| Title: | AI-informed delineation of biological relevant tumor margins for brain metastases |
| Funding Source: | MD Anderson QIAC Partnership in Research |
| Role: | Co-PI |
| Date: | 2024 - 2025 |
| Title: | Integrating machine learning-based histopathology with biology-based models of high-grade glioma growth and response to radiotherapy |
| Funding Source: | Oden Institute Pilot Grant, The University of Texas at Austin |
| Role: | Co-PI |
| Date: | 2024 - 2032 |
| Title: | Unleashing Innate Immune Response to Boost Anti-tumor Immunity against Brain Metastasis |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R35CA293986-01A1 |
| Date: | 2024 - 2029 |
| Title: | Precision Lung Cancer Interception by Targeting High-Risk Lung Nodules |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-I |
| ID: | RP240441 |
| Date: | 2024 - 2026 |
| Title: | The Early Detection Research Network: Data Management and Coordinating Center |
| Funding Source: | Fred Hutchinson Cancer Research Center / NCI/NIH |
| Role: | Co-I |
| ID: | U24 CA086368 |
| Date: | 2024 - 2029 |
| Title: | Practical Digital Twins for Personally-Optimized Cancer Treatment: Mathematical and Computational Modeling Core |
| Funding Source: | NIH/NCI |
| Role: | Co-Core Leader |
| ID: | 1P01CA291628-01 |
| Date: | 2024 - 2029 |
| Title: | The Stereotactic Radiologic-Pathologic Imaging Trial: Improving Image-Guided Treatment Planning for Adult Glioma |
| Funding Source: | NIH/NCI |
| Role: | PD/PI |
| ID: | 1R01CA294055-01 |
| Date: | 2024 - 2025 |
| Title: | Enhancing Cervical Cancer Radiotherapy: Integrating MRI and Circulating HPV DNA for Tailored Treatment Strategies |
| Funding Source: | Multidivisional Shark Tank |
| Role: | Co-I |
| Date: | 2024 - 2029 |
| Title: | InHANCE: Imaging Innovation for Head and Neck Cancer Evaluation & Treatment Delivery |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1P01CA278716-01A1 |
| Date: | 2024 - 2025 |
| Title: | Software-based Quantitative Measurement of Drained Liver Volume after Percutaneous Biliary Drain |
| Funding Source: | IR Pilot Grant MDA |
| Role: | Co-I |
| Date: | 2024 - 2029 |
| Title: | Integration of Magnetic Resonance Imaging and Blood-based Human Papillomavirus (HPV) DNA Genotyping to Predict Response to Chemoradiotherapy in Cervical Cancer (IMPACT) |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA289266-01 |
| Date: | 2024 - 2029 |
| Title: | Transcatheter Chemistry: A Novel Approach In Image-Guided Therapy |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R01CA290694-01 |
| Date: | 2024 - 2027 |
| Title: | Identify radiopathomics markers to guide immunotherapy for non-small cell lung cancer |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP240117 |
| Date: | 2024 - 2027 |
| Title: | Combining Circulating Exosomes Expression with Radiomic Features for Improved Diagnosis of Cholangiocarcinoma |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP240056 |
| Date: | 2023 - 2025 |
| Title: | Image-based Prediction of Clinical Outcome After Stereotactic Ablative Radiation Therapy in Non-Small Cell Lung Cancer |
| Funding Source: | Siemens |
| Role: | PI |
| ID: | MDA-2023-DTI-02 |
| Date: | 2023 - 2025 |
| Title: | Combining radiomic features with autophagy gene expression for improved diagnosis and prognosis of NAFLD-related HCC |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | R21 |
| Date: | 2023 - 2025 |
| Title: | Targeted Reversal of Acidic pH in the Tumor Microenvironment |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R21CA286397-01 |
| Date: | 2023 - 2026 |
| Title: | Molecular and clinical approaches to target ALK positive residual disease |
| Funding Source: | Lung Cancer Research Foundation |
| Role: | PI |
| Date: | 2023 - 2028 |
| Title: | Risk Stratification for and Early Detection of Liver Cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 2U01CA230997-07 |
| Date: | 2023 - 2027 |
| Title: | Recruitment of Established Investigators - Christopher Chad Quarles |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Collaborator |
| ID: | RR220038 |
| Date: | 2023 - 2027 |
| Title: | Clinical Validation Center for Lung Cancer Early Detection Set-Aside (U01CA271888) |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 5U01CA271888-03 |
| Date: | 2023 - 2028 |
| Title: | In Vivo Chemistry As A New Approach To Treat Solid Tumors |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA281013-01A1 |
| Date: | 2023 - 2028 |
| Title: | The MD Anderson/Johns Hopkins Cholangiocarcinoma ROBIN Center: Data Science Core |
| Funding Source: | NIH/NCI |
| Role: | Core Leader |
| ID: | 1U54CA274281-01A1 |
| Date: | 2023 - 2028 |
| Title: | In Vivo Chemistry As A New Approach To Treat Solid Tumors |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA281013-01A1 |
| Date: | 2023 - 2025 |
| Title: | Combining Circulating Exosomes Expression with Radiomic Features for Improved Diagnosis and Prognosis of Cholangiocarcinoma |
| Funding Source: | Department of Defense (DOD) |
| Role: | Co-I |
| ID: | RR220226 |
| Date: | 2023 - 2028 |
| Title: | Integrated blood and radiomic subtyping to guide immunotherapy treatment selection and early response assessment in metastatic non-small cell lung cancer |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 5R01CA276178-02 |
| Date: | 2023 - 2028 |
| Title: | Medical Students Summer in Oncology at Anderson Research (Med Students SOAR) program |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 1R25CA265800-01A1 |
| Date: | 2023 - 2028 |
| Title: | Reactive Embolization for Selective and Effective Treatment of Solid Tumors |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R01CA281724-01 |
| Date: | 2023 - 2028 |
| Title: | The Stereotactic Radiologic-Pathologic Imaging Trial: Improving Image-Guided Treatment Planning for Adult Glioma |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| Date: | 2023 - 2025 |
| Title: | CT-based Deep Learning Model to Guide Immunotherapy in Non-Small Cell Lung Cancer |
| Funding Source: | QIAC Partnership in Research (QPR) |
| Role: | PI |
| ID: | RCTS 62416 |
| Date: | 2023 - 2025 |
| Title: | An image analysis based diagnostic for liver disease |
| Funding Source: | MD Anderson QIAC Partnership in Research |
| Role: | PI |
| Date: | 2023 - 2026 |
| Title: | Uncertainty bound analysis to inform clinical trial assurance for head and neck radiotherapy |
| Funding Source: | CCSG |
| Role: | Co-PI |
| ID: | P30CA016672 |
| Date: | 2023 - 2025 |
| Title: | Machine Learning Estimation of Aggressive Disease to Guide Glioma Prognosis |
| Funding Source: | MDACC IRG |
| Role: | PI |
| Date: | 2023 - 2025 |
| Title: | Deep learning diagnosis of NASH; a precursor toward HCC detection |
| Funding Source: | NIH/NCI |
| Role: | Principal Investigator (MPI Contact) |
| ID: | 1R21CA280276-01 |
| Date: | 2023 - 2028 |
| Title: | In Vivo Chemistry As A New Approach To Treat Solid Tumors |
| Funding Source: | NIH |
| Role: | Collaborator |
| ID: | 1R01CA281013-01 |
| Date: | 2023 - 2028 |
| Title: | MD Anderson Faculty Institutional Recruitment for Sustainable Transformation (FIRST) Program |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 1U54CA272223-01 |
| Date: | 2023 - 2028 |
| Title: | Computational Imaging Approaches to Personalized Gastric Cancer Treatment |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | R01CA269559 |
| Date: | 2022 - 2027 |
| Title: | Image-guided therapy for liver cancer |
| Funding Source: | NIH |
| Role: | Co-I |
| ID: | 1R01CA276797-01 |
| Date: | 2022 - 2027 |
| Title: | Quantitative Imaging Data Quality Grading System for Robust Training and Deployment of Deep-Learning Algorithms in Cancer |
| Funding Source: | NIH/NIBIB |
| Role: | Co-I |
| ID: | 1R01CA262149-01A1 |
| Date: | 2022 - 2027 |
| Title: | Estimation of Aggressive Disease to Guide Surgical Resection In Glioma Patients |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA272681-01 |
| Date: | 2022 - 2027 |
| Title: | The MD Anderson/Johns Hopkins Cholangiocarcinoma ROBIN Center: Data science core |
| Funding Source: | John Hopkins |
| Role: | Project Co-Leader |
| ID: | U54CA274281 |
| Date: | 2022 - 2025 |
| Title: | Characterization of endovascular ablative therapies with computational modeling |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 5R21CA260016-02 |
| Date: | 2022 - 2027 |
| Title: | Early Detection of Hepatocellular Carcinoma |
| Funding Source: | NIH |
| Role: | PI |
| ID: | PAR-19-264 (R01) |
| Date: | 2022 - 2027 |
| Title: | Early Detection of Hepatocellular Carcinoma |
| Funding Source: | NIH/nci |
| Role: | MPI |
| ID: | 5R01CA195524-09 |
| Date: | 2022 - 2024 |
| Title: | Sustaining the integrative Imaging for cancer research (13CR) center |
| Funding Source: | Washington University - St. Louis |
| Role: | Co-I |
| Date: | 2022 - 2027 |
| Title: | Interdisciplinary Translational Pre/Postdoctoral Program in Cancer Nanotechnology |
| Funding Source: | NIH/NCI |
| Role: | Co-Mentor |
| ID: | 5T32CA196561-08 |
| Date: | 2022 - 2027 |
| Title: | Combining Heat, Hypoxia, Drugs, Resource Depletion, and Protons: A Disruptive Approach for Liver Cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA271439-01 |
| Date: | 2022 - 2027 |
| Title: | Federated and data lake approaches to analyze pre-diagnostic imaging for early detection of pancreatic cancer |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R01CA270770-01 |
| Date: | 2022 - 2026 |
| Title: | Novel Metabolomics and Radiomics for Predicting HCC Risk |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-I |
| ID: | RP220119 |
| Date: | 2022 - 2025 |
| Title: | Translatable Molecular Ultrasound Imaging of Cancer Metastasis Using Targeted Phase-change Nanodroplets |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Collaborator |
| ID: | RP220379 |
| Date: | 2022 - 2024 |
| Title: | Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment Guidance |
| Funding Source: | NIH/NIDCR |
| Role: | Other Significant Contributor |
| ID: | 1F31DE031502-01 |
| Date: | 2021 - 2026 |
| Title: | Radioimmunogenomic Habitat Phenotypes to Predict Efficacy of Neoadjuvant Immunotherapies in Non-Small Cell Lung Cancer |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 5R01CA262425-04 |
| Date: | 2021 - 2025 |
| Title: | Collaborative Research: Multidimensional couplings for flow and transport in porous media |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| ID: | 8098676 |
| Date: | 2021 - 2025 |
| Title: | Machine Learning Inspired Physical Models in Organs |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 5F31HL160164-02 |
| Date: | 2021 - 2022 |
| Title: | Characterization of thermoembolization cellular damage with computational modeling |
| Funding Source: | Oden Institute |
| Role: | Co-PI |
| Date: | 2021 - 2026 |
| Title: | The Stereotactic Radiology-Pathology Trial II: Prospective Imaging-Pathologic Correlation in Glioma |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | FP12990 |
| Date: | 2021 - 2026 |
| Title: | South Texas Center for Chronic Disease Associated with Health Disparities in Mexican Americans |
| Funding Source: | NIH/NCI |
| Role: | PI |
| Date: | 2021 - 2023 |
| Title: | AI-Enabled WHO Grade Estimation to Guide Accurate Biopsy in Gliomas, |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01CA259105-01 |
| Date: | 2021 - 2023 |
| Title: | An information-theoretic approach to HP signal acquisition in brain |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 5R21CA249373-02 |
| Date: | 2021 - 2023 |
| Title: | Information Theoretic Optimization of Hyperpolarized Imaging |
| Funding Source: | Sabin Family Foundation |
| Role: | PI |
| Date: | 2021 - 2023 |
| Title: | Validation of AI-assisted treatment response in HCC |
| Funding Source: | NIH/NCI |
| Role: | MPI |
| ID: | 1R03EB030119-01A1 |
| Date: | 2020 - 2024 |
| Title: | Tumor Measurement Initiative |
| Funding Source: | UTMDACC |
| Role: | Co-I |
| Date: | 2020 - 2022 |
| Title: | A mechanistic tumor growth model for HP MRI |
| Funding Source: | Oden Institute |
| Role: | PI |
| Date: | 2020 - 2025 |
| Title: | Next Generation Embolization Strategies: Insights into Biology through Chemistry |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA256486-01 |
| Date: | 2020 - 2022 |
| Title: | Improving artificial intelligence with MR relaxometry |
| Funding Source: | MDACC |
| Role: | Co-PI |
| Date: | 2020 - 2021 |
| Title: | MR Relaxometry for Improved Glioma Segmentation |
| Funding Source: | MDACC - CABI |
| Role: | PI |
| Date: | 2020 - 2025 |
| Title: | Quantitative imaging for risk stratification and early detection of hepatocellular carcinoma |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-PI |
| Date: | 2020 - 2025 |
| Title: | Application of spatially precise imaging-pathology correlations for improved image guidance of stereotactic biopsy |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R01EB029973-01 |
| Date: | 2020 - 2022 |
| Title: | Validation of AI-assisted treatment response in HCC |
| Funding Source: | NIH/NIBIB |
| Role: | MPI |
| ID: | 1R03EB030119-01 |
| Date: | 2020 - 2025 |
| Title: | Numerical characterization of a novel transarterial embolization technique |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R01EB029972-01 |
| Date: | 2020 - 2022 |
| Title: | Molecular dynamics study of alkylated PEG coating for stealth gold nanoparticles |
| Funding Source: | NIH/NIGMS |
| Role: | PI |
| ID: | 1R21GM138868-01 |
| Date: | 2020 - 2022 |
| Title: | An information-theoretic approach to HP signal acquisition in brain |
| Funding Source: | NIH/NCI |
| Role: | MPI |
| ID: | 1R21CA249373-01 |
| Date: | 2020 - 2025 |
| Title: | MECHANISM-BASED COMBINATORIAL FOCAL AND SYSTEMIC TREATMENT STRATEGIES FOR PROSTATE BONE METASTASIS |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA247953-01 |
| Date: | 2020 - 2022 |
| Title: | Application of spatially precise imaging-pathology correlations for improved image guidance of stereotactic biopsy |
| Funding Source: | Sabin Family Foundation |
| Role: | PI |
| Date: | 2020 - 2022 |
| Title: | Image-Guided Mathematical Modeling of Thermoembolization |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R21EB028931-01A1 |
| Date: | 2020 - 2025 |
| Title: | Multimodal reactive embolization: mechanism, imaging, and systemic effects |
| Funding Source: | NIH/NIBIB |
| Role: | Co-I |
| ID: | 1R01CA243030-01A1 |
| Date: | 2020 - 2023 |
| Title: | Superparamagnetic relaxometry detection of lymph node involvement in HER2+ breast cancer |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP200353 |
| Date: | 2019 - 2021 |
| Title: | Quantitative imaging for risk stratification and early detection of hepatocellular carcinoma |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| Date: | 2019 - 2020 |
| Title: | Imaging Based Predictions of Glioma Pathology and its Impact on Successful Surgery |
| Funding Source: | MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences |
| Role: | Mentor |
| Date: | 2019 - 2020 |
| Title: | Cholangiocarcinoma Molecular Facts: A Translational study among the US and Egyptian population |
| Funding Source: | National Academy of Science |
| Role: | Co-I |
| Date: | 2019 - 2021 |
| Title: | Image-Guided Mathematical Modeling of Thermoembolization |
| Funding Source: | NIH/NIBIB |
| Role: | MPI |
| ID: | 1R21EB028931-01 |
| Date: | 2019 - 2024 |
| Title: | The Stereotactic RadPath Study: Imaging-Pathologic correlations in Glioma |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA245012-01 |
| Date: | 2019 - 2024 |
| Title: | Quantitative imaging for risk stratification and early detection of hepatocellular carcinoma |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-PI |
| ID: | RP190577 |
| Date: | 2019 - 2021 |
| Title: | Superparamagnetic relaxometry detection of metastatic breast cancer |
| Funding Source: | NIH/NCI |
| Role: | MPI |
| ID: | 1R21CA240572-01 |
| Date: | 2019 - 2021 |
| Title: | Simultaneous PET/MR for enhanced detection of brain lesions using FDG and fMRI |
| Funding Source: | NIH/NIBIB |
| Role: | Other Significant Contributer |
| ID: | 1R21EB028314-01 |
| Date: | 2019 - 2023 |
| Title: | Imaging and Pathology Quantification of Glioma Heterogeneity |
| Funding Source: | American Cancer Society (ACS) |
| Role: | PI |
| ID: | 618612 |
| Date: | 2019 - 2024 |
| Title: | Multimodal reactive embolization: mechanism, imaging, and systemic effects |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA243030-01 |
| Date: | 2019 - 2024 |
| Title: | Mechanistic modeling for predicting the spatiotemporal treatment response of Hepatocellular Carcinoma |
| Funding Source: | UT Austin/NIH |
| Role: | Co-PI |
| Date: | 2019 - 2021 |
| Title: | Automated treatment response assessment for hepatocellular carcinoma |
| Funding Source: | MDACC - SINF |
| Role: | Co-I |
| Date: | 2019 - 2021 |
| Title: | Pathology validation of imaging biomarkers for improved image-guided biopsy in glioma patients |
| Funding Source: | Sabin Family Foundation |
| Role: | PI |
| Date: | 2019 - 2021 |
| Title: | Computational Model Validation for Thermochemical Ablation |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | FP5657 |
| Date: | 2019 - 2023 |
| Title: | Imaging-Pathologic and Imaging-Genomic Signatures for Glioma: Establishing Links between Imaging, Pathology and Genomics |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| ID: | 1R01CA226090-01A1 |
| Date: | 2019 - 2022 |
| Title: | Imaging and Pathology Quantification of Glioma Heterogeneity |
| Funding Source: | American Cancer Society (ACS) |
| Role: | PI |
| ID: | FP5183 |
| Date: | 2019 - 2023 |
| Title: | Quantitative MRI of the Pancreas in Diabetes |
| Funding Source: | UT/American Diabetes Association (ADA) |
| Role: | Collaborator |
| Date: | 2019 - 2023 |
| Title: | CAREER: Modeling of chemically reacting thermal fluid flow in porous tissue |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| ID: | 7893666 |
| Date: | 2018 - 2023 |
| Title: | Superparamagnetic Relaxometry Detection of Ovarian Cancer |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R01EB027477-01 |
| Date: | 2018 - 2021 |
| Title: | Imaging based predictions of glioma pathology and its impact on successful surgery |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 1F31CA236338-01 |
| Date: | 2018 - 2019 |
| Title: | Machine learning prediction of CRC liver metastases mutational status |
| Funding Source: | MDACC/CRC Moon Shot |
| Role: | Co-PI |
| Date: | 2018 - 2020 |
| Title: | An MRI-only approach to imaging and post-implant assessment of prostate cancer brachytherapy |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 1F31CA235931-01 |
| Date: | 2018 - 2022 |
| Title: | A data driven superparamagnetic relaxometry signal model for ovarian cancer detection |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| Date: | 2018 - 2020 |
| Title: | CA170894: Combining radiomic features with autophagy gene expression for improved diagnosis and prognosis of NAFLD-related primary liver cancers |
| Funding Source: | Department of Defense (DOD) |
| Role: | Co-I |
| ID: | FP3542 |
| Date: | 2018 - 2023 |
| Title: | Predictive Multiscale Modeling of Hepatocellular Carcinoma for Patient Specific Prognoses |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| ID: | 1U01CA207012-01 |
| Date: | 2018 - 2023 |
| Title: | Standardized Quantitative Imaging Biomarkers for Co-Clinical Trials |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1U24CA220280-01A1 |
| Date: | 2018 - 2023 |
| Title: | Imaging Pathology Correlations in Glioma |
| Funding Source: | NIH/NIBIB |
| Role: | Primary Sponsor |
| ID: | 1F31EB026307-01 |
| Date: | 2018 - 2019 |
| Title: | A Data Driven Superparamagnetic Relaxometry Signal Model for Ovarian Cancer Detection |
| Funding Source: | Elsa U Pardee Foundation |
| Role: | PI |
| Date: | 2018 - 2021 |
| Title: | Quantitative Science at MD Anderson Cancer Center |
| Funding Source: | National Science Foundation (NSF) |
| Role: | Mentor |
| Date: | 2018 - 2021 |
| Title: | Imaging and pathology quantification of glioma heterogeneity |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP180538 |
| Date: | 2017 - 2019 |
| Title: | A data driven superparamagnetic relaxometry signal model for ovarian cancer detection in mouse models |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R21CA222999-01 |
| Date: | 2017 - 2018 |
| Title: | Developing computer models predictive of HCC response to radiation therapy |
| Funding Source: | MDACC CCSG Radiation Oncology and Cancer Imaging Program (ROCIP) |
| Role: | PI |
| Date: | 2017 - 2020 |
| Title: | Elucidating the mechanism of Radium-223 based therapy and development of combinatorial treatment strategies for bone metastasis |
| Funding Source: | Department of Defense (DOD) |
| Role: | Co-PI |
| ID: | PC160470 |
| Date: | 2017 - 2019 |
| Title: | Mathematical modeling of treatment response of hepatocellular carcinoma |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R21CA215577-01A1 |
| Date: | 2017 - 2019 |
| Title: | Simultaneous Thermal and Osmotic Stresses in Tumor Ablation: Imaging and Biology |
| Funding Source: | NIH/NCI |
| Role: | Supplement PI |
| ID: | 3R01CA201127-02S1 |
| Date: | 2017 - 2027 |
| Title: | Training Program in Biomedical Informatics and Data Science |
| Funding Source: | NIH |
| Role: | Mentor |
| ID: | 5T15LM007093-33 |
| Date: | 2017 - 2022 |
| Title: | Standardized Quantitative Imaging Biomarkers for Co-Clinical Trials |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1U24CA220280-01 |
| Date: | 2017 - 2021 |
| Title: | Inverse Treatment Planning for MR-Guided Thermal Therapy in Brain |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R01EB023268-01A1 |
| Date: | 2017 - 2022 |
| Title: | Modeling and constrained reconstruction strategies for imaging tumor metabolism with hyperpolarized pyruvate |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA208041-01A1 |
| Date: | 2017 - 2021 |
| Title: | Signal Processing and Source Imaging Methods for Superparamagnetic Relaxometry |
| Funding Source: | UCSD/NIH |
| Role: | Co-I |
| Date: | 2017 - 2019 |
| Title: | Superparamagnetic Relaxometry for Early Detection of Ovarian Cancer |
| Funding Source: | Sister Institution Network Fund |
| Role: | PI |
| Date: | 2017 - 2019 |
| Title: | Mathematical modeling of drug response of hepatocellular carcinoma to targeted therapy |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R21CA215577-01 |
| Date: | 2017 - 2021 |
| Title: | Assessment of Oxygen Saturation as a Prostate Cancer Biomarker using Interstitial Photoacoustic Imaging |
| Funding Source: | NIH/NCI |
| Role: | Collaborator |
| Date: | 2017 - 2021 |
| Title: | CAREER: Model selection for personalized predictions of image guided therapy outcomes |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| Date: | 2016 - 2021 |
| Title: | Advanced Applications of Synthetic MR and MAGiC |
| Funding Source: | GE Healthcare |
| Role: | Co-I |
| ID: | WS#21 |
| Date: | 2016 - 2022 |
| Title: | WS#21: Advanced Applications of Synthetic MR and MAGIC |
| Funding Source: | GE/CABI |
| Role: | Co-I |
| ID: | 116853 |
| Date: | 2016 - 2019 |
| Title: | Treatment decisions for metastatic lesions in brain |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP170402 |
| Date: | 2016 - 2019 |
| Title: | Developing Predictive Models of Treatment Response in HCC |
| Funding Source: | UTMDACC Institutional Research Grant |
| Role: | PI |
| Date: | 2016 - 2020 |
| Title: | Inverse Treatment Planning for MR-Guided Thermal Therapy in Brain |
| Funding Source: | NIH/NIBIB |
| Role: | PI |
| ID: | 1R01EB023268-01 |
| Date: | 2016 - 2018 |
| Title: | A sparse reconstruction algorithm for superparamagnetic relaxometry |
| Funding Source: | NIH/NCI |
| Role: | Mentor |
| ID: | 5F31CA210434-02 |
| Date: | 2016 - 2020 |
| Title: | Quantification of Radiation Therapy Response of Intracranial Malignacies |
| Funding Source: | American Cancer Society (ACS) |
| Role: | PI |
| Date: | 2016 - 2018 |
| Title: | Characterization of Thermochemical Ablation |
| Funding Source: | Sister Institution Network Fund |
| Role: | PI |
| Date: | 2016 - 2019 |
| Title: | Advanced micro-PET/CT/RT System for Translational Radiation Oncology Applications |
| Funding Source: | NIH/UT Southwestern |
| Role: | Co-I |
| ID: | 5R01EB019438-04 |
| Date: | 2016 - 2021 |
| Title: | Predictive Multiscale Modeling of Tumor Growth |
| Funding Source: | UT Austin/NIH |
| Role: | Co-PI |
| Date: | 2016 - 2018 |
| Title: | Developing Predictive Models of Treatment Response in HCC |
| Funding Source: | Sabin Family Foundation |
| Role: | PI |
| Date: | 2016 - 2019 |
| Title: | An Information Theoretic Approach for Developing Predictive Models of Drug Response in HCC |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | PI |
| ID: | RP160278 |
| Date: | 2016 - 2020 |
| Title: | CAREER: An Information Theoretic Approach for Developing Data-Driven Models of Metastatic Brain Disease Response in Guiding Treatment Decisions |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| Date: | 2015 - 2020 |
| Title: | Advancing Magnetic Relaxometry |
| Funding Source: | Imagion |
| Role: | Co-I |
| Date: | 2015 - 2020 |
| Title: | Quantification of Brain Response to Radiation Therapy of Intracranial Malignancies |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1K01CA193664-01A1 |
| Date: | 2015 - 2015 |
| Title: | Advanced micro-PET/CT/RT System for Translational Radiation Oncology Applications |
| Funding Source: | NIH/NIBIB |
| Role: | Co-I |
| ID: | 1R01EB019438-01A1 |
| Date: | 2015 - 2020 |
| Title: | Predictive Multiscale Modeling of Tumor Growth |
| Funding Source: | UT Austin/NIH |
| Role: | Co-PI |
| Date: | 2015 - 2017 |
| Title: | Treatment Planning for Irreversible Electroporation of Spinal Metastases |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1R21CA198211-01 |
| Date: | 2015 - 2017 |
| Title: | Patient-Specific Treatment Planning System for MR-Guided Thermal Therapy in Brain |
| Funding Source: | Medtronic Inc |
| Role: | PI |
| ID: | 1211788 |
| Date: | 2015 - 2019 |
| Title: | Quantification of Brain Response to Radiation Therapy of Intracranial Malignancies |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1K01CA193664-01 |
| Date: | 2014 - 2017 |
| Title: | Quantification of Neurological Response to Radiation Therapy of Intracranial Malignancies |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | 1K01CA191771-01 |
| Date: | 2014 - 2016 |
| Title: | Patient-Specific Treatment Planning System for MR-Guided Thermal Therapy in Brain |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-I |
| Date: | 2014 - 2017 |
| Title: | Tumor-specific modeling for irreversible electroporation treatment planning of spinal metastases |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Co-PI |
| ID: | RP140330 |
| Date: | 2014 - 2019 |
| Title: | PET Guided PTA-Chemotherapy of Unresectable Liver Tumors |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA174956-01A1 |
| Date: | 2014 - 2019 |
| Title: | Patient-Specific Treatment Planning System for MR-Guided Thermal Therapy in Brain |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | 1R01CA177702-01A1 |
| Date: | 2014 - 2015 |
| Title: | Photoacoustic and Ultrasound Needle Guided Biopsy |
| Funding Source: | Department of Defense (DOD) |
| Role: | Co-I |
| ID: | W81XWH-14-1-0024 |
| Date: | 2014 - 2014 |
| Title: | Multi-parametric MR monitoring of Thermochemical Ablation |
| Funding Source: | MDACC |
| Role: | Co-PI |
| ID: | Minimally Invasive New Technology in Oncologic Surgery |
| Date: | 2013 - 2014 |
| Title: | Computational Tools for Image Guided Interventions |
| Funding Source: | O'Donnell Foundation |
| Role: | PI |
| Date: | 2013 - 2015 |
| Title: | MRI for Minimally Invasive Therapy |
| Funding Source: | GE Healthcare |
| Role: | Co-I |
| ID: | CABIR GE In-Kind Research Award |
| Date: | 2013 - 2014 |
| Title: | A Portable Treatment Planning System for MR-Guided Thermal Therapy |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PI |
| ID: | IIP-1312048-01 |
| Date: | 2013 - 2016 |
| Title: | Biodistribution Predictions and Transport Phenomena of Nanoparticles as Therapy Mediating Agents in Liver |
| Funding Source: | UT San Antonio/NSF |
| Role: | Co-I |
| Date: | 2012 - 2014 |
| Title: | Spatially Accurate Deformable Image Registration for Thoracic CT Application |
| Funding Source: | NIH/NHLBI |
| Role: | Co-I |
| ID: | 3DP2OD007044-01 |
| Date: | 2010 - 2012 |
| Title: | Prospective 3D Treatment Planning for MR-Guided Laser Induced Thermal Therapy Procedures |
| Funding Source: | NIH/NIBIB |
| Role: | Co-I |
| ID: | 5R21EB010196-02 |
| Date: | 2008 - 2010 |
| Title: | Medical Physics Training Grant for Image-Guided Therapy Research |
| Funding Source: | NIH/NIMH |
| Role: | Postdoctoral Fellow |
| ID: | 5T32CA119930-05 |
| Title: | Developing a Robust Machine Learning Methodology to Overcome Algorithmic Aging |
| Funding Source: | QIAC |
| Role: | PI |
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CV information above last modified April 24, 2025