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      Ming Yang Image

      Ming Yang, Ph.D.

      Department of Radiation Physics, Division of Radiation Oncology

      Present Title & Affiliation

      Primary Appointment

      Professor, Radiation Physics - Pt Care, Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Associate Faculty, Medical Physics Program, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX

      Education & Training

      Degree-Granting Education

      2011The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, US, Medical Physics, Ph.D
      2005Rice University, Houston, Texas, US, Physics, M.S
      2003University of Science and Technology of China, Hefei, Anhui, CN, Physics, B.S

      Postgraduate Training

      2011-2013Medical Physics Resident, Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Licenses & Certifications

      2015Medical Physicist License (Therapeutic Radiological Physics), Texas Medical Board
      2014Therapeutic Radiological Physics, American Board of Radiology

      Experience & Service

      Faculty Academic Appointments

      Associate Professor, Radiation Physics - Pt Care, Radiation Oncology, The University of Texas MD Anderson Cancer Center, 2019 - 2025

      Assistant Professor, Medical Physics and Engineering Division, Radiation Oncology Department, The University of Texas Southwestern Medical Center, Dallas, TX, 2013 - 2019

      Intramural Institutional Committee Activities

      Member, Faculty Senate, The University of Texas MD Anderson Cancer Center, 2024 - 2025

      Honors & Awards

      2023Shirley Stein Scientific Endowment Research Award, The University of Texas MD Anderson Cancer Center
      2015Best Poster, PTCOG Annual Meeting
      2011PTCOG Travel Fellowship, PTCOG Annual Meeting
      2011Michael Farley Moyers Endowed Heavy Particle Therapy Travel Award, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

      Professional Memberships

      Particle Therapy Co-Operative Group

      2017 - Present

      American Association of Physicists in Medicine

      2007 - Present

      Southwestern Chapter of AAPM

      2007 - Present

      Selected Presentations & Talks

      National Presentations

      1. 2024. Imaging in particle radiation treatment. Invited. RSNA Annual Meeting. Chicago, IL, US.
      2. 2024. Overview of imaging modalities for proton treatment planning and delivery. Invited. AAPM Specialty Meeting - Updates in Proton Radiation Therapy, US.
      3. 2020. Determination of the recombination correction factor for a parallel-plate chamber irradiated by synchrotron-based FLASH proton beams. Poster. AAPM Annual Meeting, US.
      4. 2012. Radiation exposure estimation for 131Cs prostate implant patient release determination. Poster. AAPM Annual Meeting, US.
      5. 2011. Comprehensive uncertainty analysis of proton stopping-power-ratio estimation using a kV-MV dual energy CT scanner for margin reduction, Young Investigators Symposium. Conference. AAPM Annual Meeting. Vancouver, CA.
      6. 2011. Comprehensive analysis of proton range uncertainty in current clinical practice related to stopping-power-ratio (SPR) estimation. Poster. PTCOG Annual Meeting, US.
      7. 2010. Does kV-MV dual-energy computed tomography have an advantage in measuring proton stopping power ratio in patients?. Conference. AAPM Annual Meeting. Philadelphia, PA, US.
      8. 2009. In vivo measurement of proton stopping power ratios in patients using dual energy computed tomography. Conference. AAPM Annual Meeting. Anaheim, CA, US.
      9. 2008. Improving accuracy of electron density measurement in the presence of metallic implants using orthovoltage computed tomography. Conference. AAPM Annual Meeting. Houston, TX, US.
      10. 2007. Characterization of parotid gland movement and deformation during IMRT treatment. Poster. AAPM Annual Meeting, US.
      11. 2006. An analysis of multi-site vaccination to different lymph nodes. Poster. The 3rd Annual Vaccines - All Things Considered, US.

      International Presentations

      1. 2025. Robust Analysis. Invited. PTCOG North America Annual Meeting. Shreveport, US.
      2. 2025. Selection of optimal setup and range uncertainties for statistically-consistent robustness evaluation in particle therapy planning. Poster. PTCOG Annual Meeting, US.
      3. 2024. Proton therapy treatment planning workflow overview. Invited. BUAA 2024 International Medical Physics Summer School. Beijing, CN.
      4. 2023. Clinical practice at MDACC proton therapy center. Invited. The Great Bay Area Radiotherapy Quality Assurance Seminar Series. Shenzhen, CN.
      5. 2022. Adaptation and dosimetric commissioning of a synchrotron‐based proton. Invited. Hitachi User’s Meeting, JP.
      6. 2022. Adaptation and dosimetric commissioning of a synchrotron-based proton beamline for FLASH experiments. Conference. PTCOG Annual Meeting. Miami, US.
      7. 2018. The application of dual-energy computed tomography in proton radiotherapy. Invited. 40th International Conference of the IEEE Engineering in Medicine and Biology Society. Honolulu, US.
      8. 2015. The potential of MV CT in reducing uncertainties in proton stopping power ratio estimation in patients. Conference. PTCOG Annual Meeting. San Diego, US.
      9. 2014. Reduction of range uncertainties in proton radiation therapy using dual-energy. Invited. Xi'an, CN.

      Formal Peers

      1. 2021. Physics Perspective in Treating Pelvic Tumors, US.
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      Grant & Contract Support

      Date: 2023 - 2025
      Title:Investigating the Effect of FLASH-Radiotherapy on Tumor and Normal Tissue
      Funding Source:NIH/NCI
      Role:Co-I
      Date: 2022 - 2024
      Title:A Deep Learning-based Approach for Statistical Robustness Evaluation in Proton Therapy Treatment Planning
      Funding Source:The University of Texas MD Anderson Cancer Center
      Role:PI
      Date: 2022 - 2027
      Title:Preclinical optimization of ultra-high dose rate (FLASH) radiotherapy parameters for translational relevance
      Funding Source:NIH/NCI
      Role:Co-I
      Date: 2020 - 2021
      Title:Investigating the Effect of FLASH-Radiotherapy on Tumor and Normal Tissue in Head and Neck Cancers
      Funding Source:Discovery Award
      Role:Co-I
      Date: 2016 - 2023
      Title:Towards Carbon Beam Stereotactic Body Radiation Therapy (C-SBRT) for Higher Risk Early Stage Lung Cancer
      Funding Source:Cancer Prevention & Research Institute of Texas (CPRIT)
      Role:PI for Project 1

      Selected Publications

      Peer-Reviewed Articles

      1. Vazquez I, Liang D, Salazar RM, Gronberg MP, Sjogreen C, Williamson TD, Zhu XR, Whitaker TJ, Frank SJ, Court LE, Yang M. Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations. Phys. Med. Biol 70(7), 2025. e-Pub 2025. PMID: 40101365.
      2. Liu K, Titt U, Esplen N, Connell L, Konradsson E, Yang M, Wang X, Takaoka T, Li Z, Koong AC, Mitra D, Mohan R, Loo BW, Lin SH, Schuler E. Discordance in Acute Gastrointestinal Toxicity between Synchrotron-Based Proton and Linac-based Electron Ultra-High Dose Rate Irradiation. Int. J. Radiat. Oncol. Biol. Phys, 2025. e-Pub 2025. PMID: 39862897.
      3. Guan, F, Jiang, D, Wang, X, Yang, M, Iga, K, Li, Y, Bronk, LF, Bronk, JK, Wang, L, Guo, Y, Sahoo, N, Grosshans, DR, Koong, A, Zhu, XR, Mohan, R. Mimicking large spot-scanning radiation fields for proton FLASH preclinical studies with a robotic motion platform. Precis. Radiat. Oncol 8(4):168-181, 2024. e-Pub 2024. PMID: 40337456.
      4. Liang, D, Vazquez, I, Gronberg, M, Zhang, X, Zhu, XR, Frank, SJ, Court, LE, Martel, MK, Yang, M. Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer. Phys. Med. Biol 69(19), 2024. e-Pub 2024. PMID: 39241803.
      5. 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.
      6. 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.
      7. Vazquez I, Gronberg MP, Zhang X, Court LE, Zhu XR, Frank SJ, Yang M. A Deep Learning-Based Approach for Statistical Robustness Evaluation in Proton Therapy Treatment Planning: A Feasibility Study. Phys. Med. Biol 68(9), 2023. e-Pub 2023. PMID: 37040785.
      8. Chen, M, Cao, W, Yepes, P, Guan, F, Poenisch, F, Xu, C, Chen, J, Li, Y, Vazquez, I, Yang, M, Zhu, XR, Zhang, X. Impact of dose calculation accuracy on inverse linear energy transfer optimization for intensity-modulated proton therapy. Precis. Radiat. Oncol 7(1):36-44, 2023. e-Pub 2023. PMID: 40336617.
      9. Guan F, Wang X, Yang M, Draeger E, Han D, Iga K, Guo F, Perles L, Li Y, Sahoo N, Mohan R, Chen Z. Dosimetric response of Gafchromic™ EBT-XD film to therapeutic protons. Precis. Radiat. Oncol 7(1):15-26, 2023. e-Pub 2023. PMID: 37868341.
      10. Zhu XR, Li Y, Yang M, Whitaker TJ, Taylor PA, Zhang X, Poenisch F, Sahoo N, Liao Z, Chang JY. Stereotactic body proton therapy for early stage non-small cell lung cancer – Technical challenges and solutions: The MD Anderson experience. Journal of Radiosurgery & SBRT 9(1):75-82, 2023. e-Pub 2023.
      11. Wang Q, Titt U, Mohan R, Guan F, Zhao Y, Yang M, Yepes P. Optimization of FLASH proton beams using a track-repeating algorithm. Med. Phys 49(10):6684-6698, 2022. e-Pub 2022. PMID: 35900902.
      12. Yang M, Wang X, Guan F, Titt U, Iga K, Jiang D, Takaoka T, Tootake S, Katayose T, Umezawa M, Schüler E, Frank S, Lin SH, Sahoo N, Koong AC, Mohan R, Zhu XR. Adaptation and dosimetric commissioning of a synchrotron-based proton beamline for FLASH experiments. Phys. Med. Biol 67(16), 2022. e-Pub 2022. PMID: 35853442.
      13. Wang, C, Jung, H, Yang, M, Shen, C, Jia, X. Simultaneous Image Reconstruction and Element Decomposition for Iodine Contrast Agent Visualization in Multienergy Element-Resolved Cone Beam CT. Front. Oncol 12, 2022. e-Pub 2022. PMID: 35178351.
      14. Titt, U, Yang, M, Wang, X, Iga, K, Fredette, N, Schueler, E, Lin, SH, Zhu, XR, Sahoo, N, Koong, A, Zhang, X, Mohan, R. Design and validation of a synchrotron proton beam line for FLASH radiotherapy preclinical research experiments. Med. Phys 49(1):497-509, 2022. e-Pub 2022. PMID: 34800037.
      15. Lee H, Park Y, Duan X, Jia X, Jiang S, Yang M. Convolutional neural network-based proton stopping-power-ratio estimation with dual-energy CT: A feasibility study. Phys. Med. Biol 65(21):215016, 2020. e-Pub 2020. PMID: 32736368.
      16. Lin MH, Yang M, Dougherty J, Tasson A, Zhang Y, Mohamad O, Dan T, Yan Y, Gu X, Timmerman R, Laack N, Beltran C. Radiation Therapy for Pediatric Brain Tumors using Robotic Radiation Delivery System and Intensity Modulated Proton Therapy. Pract. Radiat. Oncol 10(3):e173-e182, 2020. e-Pub 2020. PMID: 31542454.
      17. Xing Y, Nguyen D, Lu W, Yang M, Jiang S. Technical note: A feasibility study on deep learning-based radiotherapy dose calculation. Med. Phys 47(2):753 - 758, 2020. e-Pub 2020. PMID: 31808948.
      18. Chi Y, Shen C, Li B, Zhang Y, Yang M, Folkert M, Jia X. A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers. Phys. Med. Biol 64(22), 2019. e-Pub 2019. PMID: 31593930.
      19. Jia X, Wang S, Liang X, Balagopal A, Nguyen D, Yang M, Wang Z, Ji JX, Qian X, Jiang S. Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI 2019, 2019. e-Pub 2019.
      20. Je E, Lee H, Duan X, Li B, Zhou L, Jia X, Yang M. Optimal energy selection for ion stopping-power-ratio estimation using virtual mono-energetic dual-energy CT. Phys. Med. Biol 64(19), 2019. e-Pub 2019. PMID: 31437824.
      21. Liang X, Chen L, Nguyen D, Zhou Z, Gu X, Yang M, Wang J, Jiang S. Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy. Phys. Med. Biol 12(64):125002, 2019. e-Pub 2019. PMID: 31108465.
      22. Lee H, Li B, Duan X, Zhou L, Jia X, Yang M. Systematic analysis of the impact of imaging noise on dual-energy CT-based proton stopping-power-ratio estimation. Med. Phys 5(46):2251 - 2263, 2019. e-Pub 2019. PMID: 30883827.
      23. Shen C, Li B, Lou Y, Yang M, Zhou L, Jia X. Multi-energy element-resolved cone beam CT (MEER-CBCT) realized on a conventional CBCT platform. Med. Phys 10(45):4461 - 4470, 2018. e-Pub 2018. PMID: 30179261.
      24. Chiu T, Tan J, Brenner M, Gu X, Yang M, Westover K, Strom T, Sher D, Jiang S, Zhao B. Three-dimensional printer-aided casting of soft, custom silicone boluses(SCSBs) for head and neck radiotherapy. Pract. Radiat. Oncol 3(8):e167 - e174, 2018. e-Pub 2018. PMID: 29452869.
      25. Shen C, Li B, Chen L, Yang M, Lou Y, Jia X. Material elemental decomposition in dual and multi-energy CT via a sparsity-dictionary approach for proton stopping power ratio calculation. Med. Phys 4(45):1491 - 1503, 2018. e-Pub 2018. PMID: 29405340.
      26. Li B, Shen C, Chi Y, Yang M, Zhou L, Lou Y, Jia X. Multi-energy cone-beam CT reconstruction with a spatial spectral nonlocal means algorithm. SIAM J. Imaging Sci 2(11):1205 - 1229, 2018. e-Pub 2018.
      27. Li B, Lee H, Duan X, Shen C, Zhou L, Jia X, Yang M. Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging. Phys. Med. Biol 62:7056 - 7074, 2017. e-Pub 2017. PMID: 28678019.
      28. Chi Y, Rezaeian N, Shen C, Zhou Y, Lu W, Yang M, Hannan R, Jia X. A new method to reconstruct intra-fractional prostate motion in volumetric modulated arc therapy. Phys. Med. Biol 62:5509 - 5530, 2017. e-Pub 2017. PMID: 28609300.
      29. Zhou Y, Klages P, Tan J, Chi Y, Stojadinovic S, Yang M, Hrycushko B, Medin P, Pompos A, Jiang S, Albuquerque K, Jia X. Automated high-dose rate brachytherapy treatment planning for a single-channel vaginal cylinder applicator. Phys. Med. Biol 62:4361 - 4374, 2017. e-Pub 2017. PMID: 28244879.
      30. Yang M, Zhu R, Park P, Titt U, Mohan R, Virshup G, Clayton J, Dong L. Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration. Phys. Med. Biol 57:4095 - 4115, 2012. e-Pub 2012. PMID: 22678123.
      31. Yang M, Virshup G, Clayton J, Zhu R, Mohan R, Dong L. Does kV-MV dual-energy computed tomography have an advantage in measuring proton stopping power ratio in patients?. Phys. Med. Biol 56:4499 - 4515, 2011. e-Pub 2011. PMID: 21719949.
      32. Yang M, Virshup G, Clayton J, Zhu R, Mohan R, Dong L. Theoretical variance analysis of single- and double-energy computed tomography methods for measuring proton stopping power ratios of biological tissues. Phys. Med. Biol 55:1343 - 1362, 2010. e-Pub 2010. PMID: 20145291.
      33. Clayton J, Virshup G, Yang M, Mohan R, Dong L. Improvements in medical CT image reconstruction accuracy in the presence of metal objects by using X-rays up to 1 MeV. Proc. SPIE 7295, 2009. e-Pub 2009.
      34. Yang M, Virshup G, Mohan R, Shaw C, Zhu R, Dong L. Improving accuracy of electron density measurement in the presence of metallic implants using orthovoltage computed tomography. Med. Phys 35(5):1932 - 1941, 2008. e-Pub 2008. PMID: 18561669.
      35. Yang M, Park J, Deem M. A theory of multi-site vaccination for cancer. Physica A 366:347 - 364, 2006. e-Pub 2006.

      Invited Articles

      1. Yang M, Wohlfahrt P, Shen C, Bouchard H. Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential. Phys. Med. Biol 68(4), 2023. e-Pub 2023. PMID: 36595276.
      2. Yang M, Timmerman R. AbR uncertainties: delineation, setup and motion. Semin. Radiat. Oncol 3(28):207 - 217, 2018. e-Pub 2018. PMID: 29933881.

      Review Articles

      1. Li, H, Yang, M, Ndassi, DK, Meng, S, Jia, X. Artificial Intelligence in Proton Therapy. Cancer Journal (United States) 32(2), 2026. e-Pub 2026. PMID: 41880273.
      2. Chuong MD, Hallemeier CL, Li H, Zhu XR, Zhang X, Tryggestad EJ, Yu J, Yang M, Choi JI, Kang M, Liu W, Knopf A, Meijers A, Molitoris JK, Apisarnthanarax S, Giap H, Hoppe BS, Lee P, Chang JY, CBnd S, Lin SH. Executive summary of clinical and technical guidelines for esophageal cancer proton beam therapy from the Particle Therapy Co-Operative Group Thoracic and Gastrointestinal Subcommittees. Front. Oncol(11):748331, 2021. e-Pub 2021. PMID: 34737959.

      Abstracts

      1. Ramon Maurilio Salazar, Saurabh Shashikumar Nair, Ivan Vazquez, Ting Xu, Zhongxing Liao, Ming Yang, Laurence Edward Court, Joshua S. Niedzielski. Impact of Bronchial Tree Dose Metrics in Radiation Pneumonitis Prediction. AAPM Annual Meeting, 2025.
      2. Kevin Liu, Uwe Titt, Nolan M. Esplen, Luke Connell, Elise Konradsson, Ming Yang, Xiaochun Wang, Takeshi Takaoka, Ziyi Li, Albert C. Koong, Devarati Mitra, Radhe Mohan, Billy W Loo, Steven Hsesheng Lin, Emil Schueler. Differential Gastrointestinal Responses to Synchrotron-Produced Proton and Electron Irradiation Under Flash and Conventional Conditions. AAPM Annual Meeting, 2025. e-Pub 2025.
      3. Liang D, Vazquez I, Gronberg MP, Zhang X, Zhu X, Frank SJ, Court LE, Martel MK, Yang M. Deep-learning based statistical robustness evaluation for head and neck cancer. PTCOG-NA Annual Meeting, 2024. e-Pub 2024.
      4. Vazquez I, Liang D, Sjogreen C, Gay S, Pafeng J, Gronberg M, Zhu XR, Frank S, Court LE, Yang M. Enhancing dose prediction accuracy in proton therapy: a deep learning approach with beam direction awareness. AAPM Annual Meeting, 2024. e-Pub 2024.
      5. Vazquez I, Liang D, Gay S, Gronberg M, Zhu XR, Frank S, Court LE, Yang M. Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations. PTCOG-NA Annual Meeting, 2024. e-Pub 2024.
      6. Guan F, Jiang D, Wang X, Yang M, Iga K, Li Y, Bronk LF, Bronk J, Sahoo N, Grosshans D, Koong AC, Titt U, Zhu XR, Mohan R. A strategy to increase the radiation field size in a proton flash setup for preclinical radiobiological studies. AAPM Annual Meeting, 2023. e-Pub 2023.
      7. Gronberg MP, Beadle BM, Cao W, Cardenas CE, Chung C, Fuentes DT, Fuller CD, Garden AS, Gay S, Howell RM, Jhingran A, Khan M, Lim TY, Marquez B, Mumme R, Netherton T, Olanrewaju AM, Peterson CB, Skinner H, Vazquez I, Whitaker TJ, Wooten Z, Yang M, Court LE. Clinically achievable improvements in plan quality using AI-driven plan review. AAPM Annual Meeting, 2023. e-Pub 2023.
      8. Vazquez I, Gronberg M, Zhang X, Zhu R, Frank S, Court L, Yang M. A deep learning approach for dose prediction of head and neck proton radiotherapy treatments. PTCOG Annual Meeting, 2023. e-Pub 2023.
      9. Wang L, Yang M, Hang Q, Wang X, Titt U, Zhang Y, Heldring J, Sahoo N, Zhu R, Frank S. Effect of FLASH versus Non-FLASH proton radiation on mice with head and neck cancer. PTCOG Annual Meeting, 2022. e-Pub 2022.
      10. Vazquez I, Gronberg M, Zhang X, Court L, Zhu R, Frank S, Yang M. A Deep Learning-Based Approach for Statistical Robustness Evaluation in Proton Therapy Treatment Planning. PTCOG Annual Meeting, 2022. e-Pub 2022.
      11. Gronberg M, Gay S, Beadle B, Garden A, Skinner H, Netherton T, Cao W, Vazquez I, Olanrewaju N, Chung C, Cardenas C, Fuller C, Peterson C, Jhingran A, Howell R, Lim T, Yang M, Mumme R, Court L. Deep learning-based dose prediction for automated, individualized quality assurance of head and neck radiotherapy plans. AAPM Annual Meeting, 2022. e-Pub 2022.
      12. Wang L, Yang M, Hang Q, Wang X, Titt U, Zhang Y, Heldring J, Sahoo N, Zhu R, Frank S. Single and fractionated FLASH versus Non-FLASH proton radiation on mice with head and neck cancer. Annual Meeting of Radiation Research Society, 2022. e-Pub 2022.
      13. Titt U, Wang L, Yang M, Wang X, Iga K, Sahoo N, Zhu X, Koong A, Lin S, Frank S, Mohan R. Designing Customized In-Vitro Experimental Setups for Proton FLASH Preclinical Studies. AAPM Annual Meeting, 2022. e-Pub 2022.
      14. Titt U, Yang M, Wang X, Lin S, Zhu X, Iga K, Sahoo N, Koong A, Zhang X, Mohan R. Optimizing design and commissioning of a synchrotron proton beamline for FLASH preclinical experiments. AAPM Annual Meeting, 2021. e-Pub 2021.
      15. Lee H, Duan X, Park Y, Jia X, Jiang S, Yang M. A Convolutional Neural Network Approach with Dual-Energy Computed Tomography for Proton Stopping-Power-Ratio Estimation. AAPM Annual Meeting, 2020. e-Pub 2020.
      16. Liao L, Chen M, Adair A, Zhu X, Cao W, Sahoo N, Yang M, Gunn B, Frank S, Zhang X. Region-specific robust optimization for intensity-modulated proton therapy. AAPM Annual Meeting, 2020. e-Pub 2020.
      17. Yang M, Wang X, Chen M, Titt U, Tootake S, Katayose T, Li Y, Zhang X, Poenisch F, Umezawa M, Frank S, Koong A, Zhu X. Determination of the recombination correction factor for a parallel-plate chamber irradiated by synchrotron-based FLASH proton beams. AAPM Annual Meeting, 2020. e-Pub 2020.

      Book Chapters

      1. Vazquez I, Court L, Yang M. Artificial intelligence-assisted dose prediction and re-planning. In: Artificial Intelligence in Adaptive Radiation Therapy. Institute of Physics Publishing, 259-282, 2025.
      2. Yang M, Park J, Deem M. Evolutionary design in biological physics and materials science. In: Computer Simulations in Condensed Matter Systems: From Materials to Chemical Biology Volume 2. Springer, 541 - 562, 2006.
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