
Mohamed Naser, PhD
Department of Radiation Oncology, Division of Radiation Oncology
About Dr. Mohamed Naser
Dr. Naser is an Assistant Professor in the Department of Radiation Oncology at MD Anderson Cancer Center and an NIH-funded independent investigator. His research focuses on developing and applying artificial intelligence (AI) and deep learning (DL) to improve cancer treatment outcomes, particularly in head and neck cancer (HNC). Dr. Naser pioneers probabilistic AI models for tumor segmentation, sarcopenia diagnosis, normal tissue injury, and survival prediction. He has received multiple NIH grants, including R03 DE033550, R01 DE034780 as MPI, and P01 CA285249 and U01 DE032168 as Co-Investigator, supporting his research on radiopathomic risk stratification, lymphedema, fibrosis, and normal tissue injury in HNC. Dr. Naser’s achievements include winning the MICCAI HECKTOR Challenge in 2021. As an Associate Graduate School of Biomedical Sciences (GSBS) faculty member, he is committed to mentoring the next generation of researchers in biomedical data science and advancing AI-driven precision oncology.
Present Title & Affiliation
Primary Appointment
Assistant Professor, Department of Radiation Oncology - Research, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
Dual/Joint/Adjunct Appointment
Associate Member of the Graduate School Faculty, MD Anderson Cancer Center UTHealth Houston, Houston, Texas
Education & Training
Degree-Granting Education
2010 | McMaster University, Hamilton, Ontario, CA, Ph.D. in Engineering Physics |
2005 | Cairo University, Cairo, EG, MA in Engineering Physics |
2000 | Cairo University, Cairo, EG, BA in Electronics and Communication |
Postgraduate Training
2009-2013 | Postdoctoral Fellow, Medical Physics, McMaster University, Hamilton, Ontario |
Experience & Service
Academic Appointments
Instructor, Department of Radiation Oncology - Research, The University of Texas MD Anderson Cancer Center, Houston, TX, 2022 - 2024
Research Scientist, Department of Radiation Oncology - Research, The University of Texas MD Anderson Cancer Center, Houston, TX, 2020 - 2022
Visiting Assistant Professor, Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, 2019 - 2019
Research Engineer, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 2016 - 2019
Assistant Professor, Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, 2016 - 2016
Visiting Assistant Professor, Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, 2014 - 2014
Assistant Professor, Department of Electrical Engineering, King Faisal University, Hofuf, Ahsa, 2014 - 2016
Administrative Appointments/Responsibilities
Chair, Department of Electrical Engineering, King Faisal University, Hofuf, Ahsa, 2014 - 2016
Member, Department of Electrical Engineering, King Faisal University, Hofuf, Ahsa, 2014 - 2016
Member, Department of Engineering Physics, McMaster University, Hamilton, Ontario, 2005 - 2006
Honors & Awards
2021 | MICCAI HECKTOR Challenge Award 2021, Bioemission technology solutions |
2009 | Ontario Ministry of Research and Innovation Postdoctoral Fellowship, The Ministry of Research and Innovation of Ontario |
2009 | The Society of Solid-state and Electrochemical Science and Technology Student Award, The Society of Solid-state and Electrochemical Science and Technology |
2008 | McMaster Prestige “Ontario Graduate Fellowship”, McMaster University |
2007 | McMaster Prestige “Clifton W. Sherman Scholarship", McMaster University |
2005 | McMaster Graduate Scholarship, McMaster University |
Selected Publications
Peer-Reviewed Articles
- West, NA, Attia, S, Kaffey, Z, Dede, C, Mulder, SL, El-Habashy, D, Neuberger, R, Naser, M, Frank, SJ, Mao, S, McMillan, H, Smith, BG, Rosenthal, D, Lai, SY, Hutcheson, KA, Moreno, AC, Fuller, C. Evaluating observer reliability and diagnostic accuracy of CT-LEFAT criteria for post-treatment head and neck lymphedema. Oral Oncology 164, 2025. e-Pub 2025. PMID: 40174310.
- Sahin, O, Kamel, S, Wahid, K, Dede, C, Taku, N, He, R, Naser, M, Sharafi, CS, Mäkitie, AA, Kann, BH, Kaski, K, Sahlsten, J, Jaskari, J, Amit, M, Chronowski, G, Diaz Jr, EM, Garden, AS, Goepfert, RP, Guenette, JP, Gunn, GB, Hirvonen, J, Hoebers, F, Hutcheson, KA, Guha-Thakurta, N, Johnson, JM, Kaya, D, Khanpara, SD, Nyman, K, Lai, SY, Lango, MN, Learned, KO, Lee, A, Lewis, CM, Maniakas, A, Moreno, AC, Myers, JN, Phan, J, Pytynia, KB, Rosenthal, D, Sandulache, VC, Schellingerhout, D, Shah, SJ, Sikora, AG, Mohamed, AS, Chen, MM, Fuller, C. International multispecialty expert physician preoperative identification of extranodal extension in patients with oropharyngeal cancer using computed tomography. Cancer 131(7), 2025. e-Pub 2025. PMID: 40159431.
- Koutroumpakis, E, Naser, M, Mohamed, AS, Eraj, SA, Jarre, A, Shiao, J, Kamal Jomaa, M, Perni, S, Phan, J, Morrison, WH, Frank, SJ, Gunn, GB, Garden, AS, Deswal, A, Abe, J, Rosenthal, D, Mouhayar, E, Fuller, C. Detection of alteration in carotid artery volumetry using standard-of-care computed tomography surveillance scans following unilateral radiation therapy for early-stage tonsillar squamous cell carcinoma survivors. Clinical and Translational Radiation Oncology 51, 2025. e-Pub 2025. PMID: 39867727.
- Salama, V, Humbert-Vidan, L, Godinich, B, Wahid, KA, ElHabashy, DM, Naser, M, He, R, Mohamed, AS, Sahli, A, Hutcheson, KA, Gunn, GB, Rosenthal, D, Fuller, C, Moreno, AC. Machine learning predicting acute pain and opioid dose in radiation treated oropharyngeal cancer patients. Frontiers in Pain Research 6, 2025. e-Pub 2025. PMID: 40256643.
- Nosrat, F, Dede, C, McCullum, L, Garcia, R, Mohamed, AS, Scott, J, Bates, JE, McDonald, B, Wahid, K, Naser, M, He, R, Karagoz, A, Moreno, AC, van Dijk, L, Brock, K, Heukelom, J, Hosseinian, S, Hemmati, M, Schaefer, AJ, Fuller, C. Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints. Physics and Imaging in Radiation Oncology 33, 2025. e-Pub 2025.
- Sahlsten, J, Jaskari, J, Wahid, K, Ahmed, S, Glerean, E, He, R, Kann, BH, Mäkitie, AA, Fuller, C, Naser, M, Kaski, K. Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning. Communications Medicine 4(1), 2024. e-Pub 2024. PMID: 38851837.
- Zhao, Y, Wang, X, Phan, J, Chen, X, Lee, A, Yu, C, Huang, K, Court, LE, Pan, T, Wang, H, Wahid, K, Mohamed, AS, Naser, M, Fuller, C, Yang, J. Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers. Medical physics 51(10):7295-7307, 2024. e-Pub 2024. PMID: 38896829.
- 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 Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification. Adv Radiat Oncol 9(7):101521, 2024. e-Pub 2024. PMID: 38799110.
- Sahlsten J, Jaskari J, Wahid KA, Ahmed S, Glerean E, He R, Kann BH, Makitie A, Fuller CD, Naser MA, Kaski K. Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning. Commun Med (Lond) 4(1):110, 2024. e-Pub 2024. PMID: 38851837.
- Sahin O, Kamel S, Wahid KA, Dede C, Taku N, He R, Naser MA, Sharafi S, Makitie A, Kann BH, Kaski K, Sahlsten J, Jaskari J, Amit M, Chronowski GM, Diaz EM Jr, Garden AS, Goepfert RP, Guenette JP, Gunn GB, Hirvonen J, Hoebers F, Hutcheson KA, Guha-Thakurta N, Johnson J, Kaya D, Khanpara SD, Nyman K, Lai SY, Lango M, Learned KO, Lee A, Lewis CM, Maniakas A, Moreno AC, Myers JN, Phan J, Pytynia KB, Rosenthal DI, Sandulache VC, Schellingerhout D, Shah SJ, Sikora AG, Mohamed ASR, Chen MM, Fuller CD. International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension n Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation. medRxiv, 2024. e-Pub 2024. PMID: 36865096.
- 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.
- Koutroumpakis E, Mohamed ASR, Chaftari P, Rosenthal DI, Gujral D, Nutting C, Kamel S, Naser MA, Kim P, Bassett R, Fuller CD, Mouhayar E. Longitudinal changes in the carotid arteries of head and neck cancer patients following radiation therapy: Results from a prospective serial imaging biomarker characterization study. Radiother Oncol 195:110220, 2024. e-Pub 2024. PMID: 38467343.
- Koutroumpakis E, Naser MA, Mohamed ASR, Eraj SA, Jarre A, Shiao JC, Kamal M, Perni S, Phan JP, Morrison WH, Frank SJ, Gunn GB, Garden AS, Deswal A, Abe JI, Rosenthal DI, Mouhayar E, Fuller CD. Detection of Alteration in Carotid Artery Volumetry Using Standard-of-care Computed Tomography Surveillance Scans Following Unilateral Radiation Therapy for Early-stage Tonsillar Squamous Cell Carcinoma Survivors: A Cross-Sectional Internally-Matched Carotid Isodose Analysis. medRxiv, 2024. e-Pub 2024. PMID: 38798400.
- Wahid KA, Kaffey ZY, Farris DP, Humbert-Vidan L, Moreno AC, Rasmussen M, Ren J, Naser MA, Netherton TJ, Korreman S, Balakrishnan G, Fuller CD, Fuentes D, Dohopolski MJ. Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review. medRxiv, 2024. e-Pub 2024. PMID: 38798581.
- El-Habashy DM, Wahid KA, He R, McDonald B, Mulder SJ, Ding Y, Salzillo T, Lai SY, Christodouleas J, Dresner A, Wang J, Naser MA, Fuller CD, Mohamed ASR. Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac. Sci Data 11(1):487, 2024. e-Pub 2024. PMID: 38734679.
- Salama V, Humbert-Vidan L, Godinich B, Wahid KA, ElHabashy DM, Naser MA, He R, Mohamed ASR, Sahli AJ, Hutcheson KA, Gunn GB, Rosenthal DI, Fuller CD, Moreno AC. Comparison of Machine Leaning Models for Prediction of Acute Pain Severity and On-Treatment Opioid Utilization in Oral Cavity and Oropharyngeal Cancer Patients Receiving Radiation Therapy: Exploratory Analysis from a Large-Scale Retrospective Cohort. medRxiv, 2024. e-Pub 2024. PMID: 38370746.
- Wahid KA, Sahlsten J, Jaskari J, Dohopolski MJ, Kaski K, He R, Glerean E, Kann BH, Makitie A, Fuller CD, Naser MA, Fuentes D. Harnessing uncertainty in radiotherapy auto-segmentation quality assurance. Phys Imaging Radiat Oncol 29:100526, 2024. e-Pub 2024. PMID: 38179210.
- McDonald BA, Cardenas CE, O'Connell N, Ahmed S, Naser MA, Wahid KA, Xu J, Thill D, Zuhour RJ, Mesko S, Augustyn A, Buszek SM, Grant S, Chapman BV, Bagley AF, He R, Mohamed ASR, Christodouleas J, Brock KK, Fuller CD. Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers. Med Phys 51(1):278-291, 2024. e-Pub 2024. PMID: 37475466.
- Salama V, Godinich B, Geng Y, Humbert-Vidan L, Maule L, Wahid KA, Naser MA, He R, Mohamed ASR, Fuller CD, Moreno AC. Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review. medRxiv, 2023. e-Pub 2023. PMID: 38105979.
- Salzillo TC, Dresner MA, Way A, Wahid KA, McDonald BA, Mulder S, Naser MA, He R, Ding Y, Yoder A, Ahmed S, Corrigan KL, Manzar GS, Andring L, Pinnix C, Stafford RJ, Mohamed ASR, Christodouleas J, Wang J, Fuller CD. Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer. J Med Imaging (Bellingham) 10(6):065501, 2023. e-Pub 2023. PMID: 37937259.
- 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. ArXiv, 2023. e-Pub 2023. PMID: 37904737.
- 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. Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation. medRxiv, 2023. e-Pub 2023. PMID: 37693394.
- El-Habashy, D, Wahid, K, He, R, McDonald, B, Rigert, J, Mulder, S, Lim, TY, Wang, X, Yang, J, Ding, Y, Naser, M, Ng, SP, Bahig, H, Salzillo, TC, Preston, KE, Abobakr, M, Shehata, MA, Elkhouly, EA, Alagizy, HA, Hegazy, AH, Mohammadseid, M, Terhaard, CH, Philippens, ME, Rosenthal, DI, Wang, J, Lai, SY, Dresner, A, Christodouleas, JP, Mohamed, AS, Fuller, C. Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system. Clinical and Translational Radiation Oncology 42, 2023. e-Pub 2023. PMID: 37583808.
- Salama V, Youssef S, Xu T, Wahid KA, Chen J, Rigert J, Lee A, Hutcheson KA, Gunn B, Phan J, Garden AS, Frank SJ, Morrison W, Reddy JP, Spiotto MT, Naser MA, Dede C, He R, Mohamed ASR, van Dijk LV, Lin R, Roldan CJ, Rosenthal DI, Fuller CD, Moreno AC. Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study. Oral Oncol Rep 7, 2023. e-Pub 2023. PMID: 38638130.
- El-Habashy DM, Wahid KA, Renjie H, McDonald B, Mulder SJ, Ding Y, Salzillo T, Stephen L, Christodouleas J, Dresner A, Wang J, Naser MA, Fuller CD, Mohamed ASR. Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment. medRxiv, 2023. e-Pub 2023. PMID: 37645931.
- Ye, Z, Saraf, A, Ravipati, Y, Hoebers, F, Catalano, PJ, Zha, Y, Zapaishchykova, A, Likitlersuang, J, Guthier, CV, Tishler, RB, Schoenfeld, JD, Margalit, D, Haddad, RI, Mak, RH, Naser, M, Wahid, K, Sahlsten, J, Jaskari, J, Kaski, K, Mäkitie, AA, Fuller, C, Aerts, HJ, Kann, BH. Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer. JAMA Network Open 6(8):E2328280, 2023. e-Pub 2023. PMID: 37561460.
- Mohamed, AS, Abusaif, A, He, R, Wahid, K, Salama, V, Youssef, S, McDonald, B, Naser, M, Ding, Y, Salzillo, TC, Abobakr, M, Wang, J, Lai, SY, Fuller, C. Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer. Radiotherapy and Oncology 183, 2023. e-Pub 2023. PMID: 36990394.
- Wentzel A, Floricel C, Canahuate G, Naser MA, Mohamed AS, Fuller CD, van Dijk L, Marai GE. DASS Good: Explainable Data Mining of Spatial Cohort Data. Comput Graph Forum 42(3):283-295, 2023. e-Pub 2023. PMID: 37854026.
- El-Habashy DM, Wahid KA, He R, McDonald B, Rigert J, Mulder SJ, Lim TY, Wang X, Yang J, Ding Y, Naser MA, Ng SP, Bahig H, Salzillo TC, Preston KE, Abobakr M, Shehata MA, Elkhouly EA, Alagizy HA, Hegazy AH, Mohammadseid M, Terhaard C, Philippens M, Rosenthal DI, Wang J, Lai SY, Dresner A, Christodouleas JC, Mohamed ASR, Fuller CD. Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study. medRxiv, 2023. e-Pub 2023. PMID: 37205359.
- Naser MA, Wahid KA, Ahmed S, Salama V, Dede C, Edwards BW, Lin R, McDonald B, Salzillo TC, He R, Ding Y, Abdelaal MA, Thill D, O'Connell N, Willcut V, Christodouleas JP, Lai SY, Fuller CD, Mohamed ASR. Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy. Med Phys 50(4):2089-2099, 2023. e-Pub 2023. PMID: 36519973.
- Wahid KA, Lin D, Sahin O, Cislo M, Nelms BE, He R, Naser MA, Duke S, Sherer MV, Christodouleas JP, Mohamed ASR, Murphy JD, Fuller CD, Gillespie EF. Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. Sci Data 10(1):161, 2023. e-Pub 2023. PMID: 36949088.
- Sahlsten J, Jaskari J, Wahid KA, Ahmed S, Glerean E, He R, Kann BH, Makitie A, Fuller CD, Naser MA, Kaski K. Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case. medRxiv, 2023. e-Pub 2023. PMID: 36865296.
- Lin D, Wahid KA, Nelms BE, He R, Naser MA, Duke S, Sherer MV, Christodouleas JP, Mohamed ASR, Cislo M, Murphy JD, Fuller CD, Gillespie EF. E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation. J Med Imaging (Bellingham) 10(Suppl 1):S11903, 2023. e-Pub 2023. PMID: 36761036.
- Wentzel A, Mohamed ASR, Naser MA, van Dijk LV, Hutcheson K, Moreno AM, Fuller CD, Canahuate G, Marai GE. Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool. Front Oncol 13:1210087, 2023. e-Pub 2023. PMID: 37614495.
- Sahlsten J, Wahid KA, Glerean E, Jaskari J, Naser MA, He R, Kann BH, Makitie A, Fuller CD, Kaski K. Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases. Front Oncol 13:1120392, 2023. e-Pub 2023. PMID: 36925936.
- Taku N, Wahid KA, van Dijk LV, Sahlsten J, Jaskari J, Kaski K, Fuller CD, Naser MA. Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network. Clin Transl Radiat Oncol 36:47-55, 2022. e-Pub 2022. PMID: 35782963.
- Wahid KA, Olson B, Jain R, Grossberg AJ, El-Habashy D, Dede C, Salama V, Abobakr M, Mohamed ASR, He R, Jaskari J, Sahlsten J, Kaski K, Fuller CD, Naser MA. Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer. Sci Data 9(1):470, 2022. e-Pub 2022. PMID: 35918336.
- Oreiller V, Andrearczyk V, Jreige M, Boughdad S, Elhalawani H, Castelli J, Vallieres M, Zhu S, Xie J, Peng Y, Iantsen A, Hatt M, Yuan Y, Ma J, Yang X, Rao C, Pai S, Ghimire K, Feng X, Naser MA, Fuller CD, Yousefirizi F, Rahmim A, Chen H, Wang L, Prior JO, Depeursinge A. Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Med Image Anal 77:102336, 2022. e-Pub 2022. PMID: 35016077.
- Wahid KA, Ahmed S, He R, van Dijk LV, Teuwen J, McDonald BA, Salama V, Mohamed ASR, Salzillo T, Dede C, Taku N, Lai SY, Fuller CD, Naser MA. Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry. Clin Transl Radiat Oncol 32:6-14, 2022. e-Pub 2022. PMID: 34765748.
- Naser MA, Wahid KA, Mohamed ASR, Abdelaal MA, He R, Dede C, van Dijk LV, Fuller CD. Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. Head Neck Tumor Segm Chall (2021) 13209:287-299, 2022. e-Pub 2022. PMID: 35399868.
- Wahid KA, Xu J, El-Habashy D, Khamis Y, Abobakr M, McDonald B, O' Connell N, Thill D, Ahmed S, Sharafi CS, Preston K, Salzillo TC, Mohamed ASR, He R, Cho N, Christodouleas J, Fuller CD, Naser MA. Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy. Front Oncol 12:975902, 2022. e-Pub 2022. PMID: 36425548.
- Wahid KA, He R, Dede C, Mohamed ASR, Abdelaal MA, van Dijk LV, Fuller CD, Naser MA. Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma. Head Neck Tumor Segm Chall (2021) 13209:300-307, 2022. e-Pub 2022. PMID: 35399870.
- Naser MA, Wahid KA, van Dijk LV, He R, Abdelaal MA, Dede C, Mohamed ASR, Fuller CD. Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. Head Neck Tumor Segm Chall (2021) 13209:121-132, 2022. e-Pub 2022. PMID: 35399869.
- Naser MA, Wahid KA, Grossberg AJ, Olson B, Jain R, El-Habashy D, Dede C, Salama V, Abobakr M, Mohamed ASR, He R, Jaskari J, Sahlsten J, Kaski K, Fuller CD. Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer. Front Oncol 12:930432, 2022. e-Pub 2022. PMID: 35965493.
- van Dijk LV, Abusaif AA, Rigert J, Naser MA, Hutcheson KA, Lai SY, Fuller CD, Mohamed ASR. Normal Tissue Complication Probability (NTCP) Prediction Model for Osteoradionecrosis of the Mandible in Patients With Head and Neck Cancer After Radiation Therapy: Large-Scale Observational Cohort. Int J Radiat Oncol Biol Phys 111(2):549-558, 2021. e-Pub 2021. PMID: 33965514.
- Wahid KA, He R, McDonald BA, Anderson BM, Salzillo T, Mulder S, Wang J, Sharafi CS, McCoy LA, Naser MA, Ahmed S, Sanders KL, Mohamed ASR, Ding Y, Wang J, Hutcheson K, Lai SY, Fuller CD, van Dijk LV. Intensity standardization methods in magnetic resonance imaging of head and neck cancer. Phys Imaging Radiat Oncol 20:88-93, 2021. e-Pub 2021. PMID: 34849414.
- Naser MA, van Dijk LV, He R, Wahid KA, Fuller CD. Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images. Head Neck Tumor Segm (2020) 12603:85-98, 2021. e-Pub 2021. PMID: 33724743.
- Naser MA, Deen MJ. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images. Comput Biol Med 121:103758, 2020. e-Pub 2020. PMID: 32568668.
- Naser MA, Sampaio DRT, Munoz NM, Wood CA, Mitcham TM, Stefan W, Sokolov KV, Pavan TZ, Avritscher R, Bouchard RR. Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction. IEEE Trans Med Imaging 38(2):561-571, 2019. e-Pub 2019. PMID: 30207951.
- Alayed M, Naser MA, Aden-Ali I, Deen MJ. Time-resolved diffuse optical tomography system using an accelerated inverse problem solver. Opt Express 26(2):963-979, 2018. e-Pub 2018. PMID: 29401984.
- Naser, M. Improving the reconstruction image contrast of time-domain diffuse optical tomography using high accuracy Jacobian matrix. Biomedical Physics and Engineering Express 2(1), 2016. e-Pub 2016.
- Naser, M, Deen, MJ. Time-domain diffuse optical tomography using recursive direct method of calculating Jacobian at selected temporal points. Biomedical Physics and Engineering Express 1(4), 2015. e-Pub 2015.
- Naser MA, Patterson MS, Wong JW. Algorithm for localized adaptive diffuse optical tomography and its application in bioluminescence tomography. Phys Med Biol 59(8):2089-109, 2014. e-Pub 2014. PMID: 24694875.
- Naser MA, Patterson MS, Wong JW. Self-calibrated algorithms for diffuse optical tomography and bioluminescence tomography using relative transmission images. Biomed Opt Express 3(11):2794-808, 2012. e-Pub 2012. PMID: 23162719.
- Naser MA, Patterson MS. Bioluminescence tomography using eigenvectors expansion and iterative solution for the optimized permissible source region. Biomed Opt Express 2(11):3179-93, 2011. e-Pub 2011. PMID: 22076277.
- Naser, M, Pekar, J, Wong, JW, Patterson, M. SU‐C‐211‐05. Medical physics 38(6):3376, 2011. e-Pub 2011.
- Naser MA, Patterson MS. Improved bioluminescence and fluorescence reconstruction algorithms using diffuse optical tomography, normalized data, and optimized selection of the permissible source region. Biomed Opt Express 2(1):169-84, 2010. e-Pub 2010. PMID: 21326647.
- Naser MA, Patterson MS. Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties. Biomed Opt Express 1(2):512-526, 2010. e-Pub 2010. PMID: 21258486.
- Naser, M, Deen, MJ, Thompson, DA. Photocurrent modeling and detectivity optimization in a resonant-tunneling quantum-dot infrared photodetector. IEEE Journal of Quantum Electronics 46(6):849-859, 2010. e-Pub 2010.
- Ghanad-Tavakoli, S, Naser, M, Thompson, DA, Jamal Deen, M. Experimental characterization and theoretical modeling of the strain effect on the evolution and interband transitions of InAs quantum dots grown on Inx Ga1-x As (0.0≤x≤0.3) metamorphic pseudosubstrates on GaAs wafers. Journal of Applied Physics 106(6), 2009. e-Pub 2009.
- Naser, M, Deen, MJ, Thompson, DA. Theoretical modeling of dark current in quantum dot infrared photodetectors using nonequilibrium Green's functions. Journal of Applied Physics 104(1), 2008. e-Pub 2008.
- Naser, M, Deen, MJ, Thompson, DA. Spectral function and responsivity of resonant tunneling and superlattice quantum dot infrared photodetectors using Green's function. Journal of Applied Physics 102(8), 2007. e-Pub 2007.
- Naser, M, Deen, MJ, Thompson, DA. Spectral function of InAs/InGaAs quantum dots in a well detector using Green's function. Journal of Applied Physics 100(9), 2006. e-Pub 2006.
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.
- Salama V, Godinich B, Geng Y, Humbert-Vidan L, Maule L, Wahid KA, Naser MA, He R, Mohamed ASR, Fuller CD, Moreno AC Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review. J Pain Symptom Manage 68(6):e462-e490, 2024. PMID: 39097246.
- Wahid KA, Glerean E, Sahlsten J, Jaskari J, Kaski K, Naser MA, He R, Mohamed ASR, Fuller CD Artificial Intelligence for Radiation Oncology Applications Using Public Datasets. Semin Radiat Oncol 32(4):400-414, 2022. PMID: 36202442.
- McDonald BA, Zachiu C, Christodouleas J, Naser MA, Ruschin M, Sonke JJ, Thorwarth D, Letourneau D, Tyagi N, Tadic T, Yang J, Li XA, Bernchou U, Hyer DE, Snyder JE, Bubula-Rehm E, Fuller CD, Brock KK Dose accumulation for MR-guided adaptive radiotherapy: From practical considerations to state-of-the-art clinical implementation. Front Oncol 12:1086258, 2022. PMID: 36776378.
Abstracts
- Hansen CR, Naser MA. Dose prescription variability in Oropharynx Cancer Radiotherapy. ICHNO 2024 192:S225-S228, 2024.
- Khamis Y, Naser MA. Dynamic Contrast Enhanced MRI as a Biomarker of Tumor Response and Oncologic Outcomes in Head and Neck Cancer: Results of a Single Institution Prospective Imaging Study. ASTRO 2023: 65th Annual Meeting, 2023.
- El-Habashy D, Naser MA. Longitudinal Monitoring of Quantitative Imaging Kinetics of Primary Tumor and Nodal Volumes Using the MR-Linac Device in Head and Neck Cancer Patients. ASTRO 2023: 65th Annual Meeting 117(2):e663-e664, 2023.
- Wahid K, Naser MA. Deep Learning Based Prognostic Prediction in Oropharyngeal Cancer Patients Using Multiparametric MRI Inputs. ASTRO Annual Meeting 117(2):e631, 2023.
- Naser MA. Multi-Specialty Physician Performance in Predicting Radiographic Extranodal Extension in Nodal Metastases of Oropharyngeal Squamous Carcinoma. ASTRO 2023: 65th Annual Meeting, 2023.
- Naser MA. Automated Sarcopenia Assessment and Outcomes in Head and Neck Cancer with Deep Learning Analysis of Cervical Neck Skeletal Muscle. ASTRO 2023: 65th Annual Meeting 117(2):e623, 2023.
- Naser MA. Interobserver Agreement among Multiple Generalists is Comparable to that of Recognized Experts: Prospective Acceptability Benchmarks from the C3RO Crowdsourced Initiative. ASTRO 2022 114(3):S45-S46, 2022.
- Naser MA. Generation of Synthetic 6-Minute MRI Scans from 2-Minute MRI Scans for Use in Head and Neck Cancer Adaptive Radiotherapy. ASTRO 2022 114(3):e600, 2022.
- Naser MA. Koopman Theory-Based Dynamic Mode Decomposition for Dynamic Contrast-Enhanced HNC MRI Motion Correction. AAPM 2022. https://w4.aapm.org/meetings/2022AM/programInfo/programAbs.php?sid=10792&aid=66013 49(6):E763-E763, 2022.
- Naser MA. Auto-Segmentation of Oropharyngeal Cancer Primary Tumors Using Multiparametric MRI-Based Deep Learning. Astro Annual Meeting 112(5):e31, 2022.
- Naser MA. Functional Map in Biomechanical Studies. AAPM 2022. https://w4.aapm.org/meetings/2022AM/programInfo/programAbs.php?sid=10792&aid=66030 49(6):E735-E736, 2022.
- Naser MA. Normal Tissue Complication Probability (NTCP) Prediction Model for Osteoradionecrosis of the Mandible in Patients With Head and Neck Cancer After Radiation Therapy: Large-Scale Observational Cohort. Astro Annual Meeting 111(2):549-558, 2021.
- Naser MA. Imaging biomarker development based on microbubble perfusion and oxygen saturation in a rat model of liver cancer. Proc. SPIE 10580 1058007, 2018.
- Naser MA. Removing Noise Bias in Photoacoustic-Based SO2 Estimates: A Simple Empirical SNR-Adaptive Thresholding Approach. AAPM 2018. https://w3.aapm.org/meetings/2018AM/programInfo/programAbs.php?&shid[]=1398&sid=7509&aid=40743, 2018.
- Naser MA, Patterson MS. Reconstruction Algorithm for Fluorescence Tomography Using a Reduced Space of Eigenvectors and Optimized Permissible Source Region. Biomedical Optics and 3-D Imaging, 2012.
- Naser MA, Deen MJ, Thompson DA. Photocurrent Modeling of Resonant Tunneling Quantum Dot Infrared Photodetectors. 217th Electrochemical Society Meeting, 2010.
- Naser MA, Deen MJ, Thompson DA. Modeling and Optimization of Quantum Dot Infrared Photodetectors. 214th Electrochemical Society Meeting, 2008.
- Naser MA, Patterson MS. Reconstruction algorithm for diffuse optical tomography using x-ray CT anatomical information. SPIE Photonics West (BIOS).
- Naser MA. Cervical Vertebrae Skeletal Muscle Auto Segmentation for Sarcopenia Analysis Using Pre-Therapy CT in Head and Neck Cancer Patients. ASTRO 2022 Annual Meeting 114(3):e320.
Books (edited and written)
- Naser MA. Theoretical modeling of quantum dot infrared photodetectors: Modeling and optimization of self-assembled quantum dot infrared photodetectors using non-equilibrium Green's function. VDM Verlag Dr. Müller, 2011.
Selected Presentations & Talks
Local Presentations
- 2023. Advancing Radiotherapy for Head and Neck Cancer with AI Applications. Invited. MDACC/UTSW Radiation Oncology Advanced Imaging Symposium. Houston, Texas, US.
National Presentations
- 2023. Deep learning for tumor segmentation and progression free survival prediction for oropharyngeal cancers. Invited. The 37th AAAI Conference on Artificial Intelligence – AAAI-23 Bridge Program. Washington, DC, US.
International Presentations
- 2011. Reconstruction algorithms for diffuse optical tomography and bioluminescence tomography. Invited. Fields-MITACS Conference. Toronto, CA.
- 2009. Theoretical Modeling of Quantum Dot Infrared Photodetectors. Conference. The Canadian section of the Electrochemical Society. Halifax, CA.
- 2009. Theoretical Modeling of Quantum Dot Infrared Photodetectors. Poster. 14th Canadian Semiconductor Technology Conference (CSTC09). Hamilton, CA.
- 2007. Quantum Dot Infrared Photodetectors. Poster. Ontario Photonics Consortium 3rd Annual Showcase. Waterloo, CA.
- 2006. Quantum Dot Infrared Photodetectors (QDIPs). Poster. 2nd Annual Ontario Photonics Consortium Showcase. London, CA.
Grant & Contract Support
Date: | 2025 - 2030 |
Title: | Harvard MD Anderson Collaborative to Reduce LyMphatic MOrbidity in Head and Neck Cancer with Artificial Intelligence (HARMONiC-AI) |
Funding Source: | NIH/NIDCR |
Role: | Co-PI |
ID: | R01DE034147 |
Date: | 2024 - 2029 |
Title: | OPC SURVIVOR: Optimizing OroPharyngeal Cancer SURVIVORship |
Funding Source: | NIH/NIDCR |
Role: | Co-I |
ID: | P01CA285249 |
Date: | 2024 - 2029 |
Title: | InHANCE: Imaging Innovation for Head And Neck Cancer Evaluation & Treatment |
Funding Source: | NIH/NCI |
Role: | Co-PI |
ID: | P01CA278716 |
Date: | 2024 - 2026 |
Title: | Probabilistic Deep Learning Cervical Lymph-Node Auto-Segmentation for Imaging-enhanced Evaluation of Extracapsular Nodal Extension Risk (PDL-CLASIFIER) |
Funding Source: | NIH/NIDCR |
Role: | PI |
ID: | R03DE033550 |
Date: | 2023 - 2028 |
Title: | Quantitative Imaging Biomarker Prospective Validation of Dynamic Contrast-Enhanced MRI as a Metric of Orodental Injury After Radiotherapy (QI-ProVE-MRI) |
Funding Source: | NIH/NIDCR |
Role: | Co-I |
ID: | U01DE032168 |
Date: | 2019 - 2024 |
Title: | Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac device |
Funding Source: | NIH/NIDCR |
Role: | Co-I |
ID: | R01DE028290 |
Patient Reviews
CV information above last modified May 16, 2025