Peter Kamel, MD
Department of Neuroradiology, Division of Diagnostic Imaging
About Dr. Peter Kamel
Peter Kamel, M.D. is an Assistant Professor in the Department of Neuroradiology at MD Anderson Cancer Center. He is a Certified Imaging Informatics Professional (CIIP) and serves as the Artificial Intelligence Director for the Department of Neuroradiology.
Dr. Kamel graduated summa cum laude from Rice University in 2012 with dual degrees in Computer Science and Biochemistry & Cell Biology, completing both degrees within 3 years. He subsequently earned an M.D. at Baylor College of Medicine as part of the Rice/Baylor Medical Scholars Program.
Dr. Kamel completed residency in Diagnostic Radiology at Johns Hopkins Hospital in Baltimore, MD, during which he served as Chief Resident from 2020-2021 and graduated with distinctions in Informatics and Quality and Safety. He subsequently completed a fellowship in Neuroradiology at Johns Hopkins Hospital.
Following fellowship, Dr. Kamel joined as an Assistant Professor at the University of Maryland in the division of Neuroradiology where he served as the Clinical Director for the University of Maryland Medical Intelligent Imaging Center (UM2ii) from 2022-2025, specializing in artificial intelligence for medical imaging.
Dr. Kamel is a United States Presidential Scholar inducted by President Barack Obama and has won numerous awards including the Institute of Medicine (IOM) 2012 Health Data Challenge, Society for Imaging Informatics in Medicine (SIIM) 2016 Hackathon, and SIIM 2019 Innovation Challenge People's Choice Award. He has had a leading role in several start-ups and is an active software developer for medical imaging applications with research interests in clinical informatics, big data, machine learning, and artificial intelligence.
Present Title & Affiliation
Primary Appointment
Assistant Professor, Department of Neuroradiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
Artificial Intelligence Director for the Department of Neuroradiology, Department of Neuroradiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
Education & Training
Degree-Granting Education
| 2016 | Baylor College of Medicine, Houston, Texas, US, M.D |
| 2012 | Rice University, Houston, Texas, US, Computer Science, B.A |
| 2012 | Rice University, Houston, Texas, US, Biochemistry & Cell Biology, B.S |
Postgraduate Training
| 2021-2022 | Fellow, Neuroradiology, Johns Hopkins University, Baltimore, Maryland |
| 2020-2021 | Chief Resident, Diagnostic Radiology, Johns Hopkins University, Baltimore, Maryland |
| 2017-2021 | Resident, Diagnostic Radiology, Johns Hopkins University, Baltimore, Maryland |
| 2016-2017 | Intern, Internal Medicine, St Agnes Hospital, Baltimore, MD |
Licenses & Certifications
| 2024 | Texas Medical License |
| 2024 | Neuroradiology Certificate of Added Qualification by the American Board of Radiology |
| 2022 | American Board of Radiology Certification in Diagnostic Radiology |
| 2021 | Certified Imaging Informatics Professional (CIIP) |
| 2018 | Maryland Medical License |
| 2012 | Basic Life Support |
Experience & Service
Faculty Academic Appointments
Assistant Professor, Department of Diagnostic Radiology and Nuclear Medicine, Division of Neuroradiology, University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Administrative Appointments/Responsibilities
Neuro-oncology Radiology Faculty Representative, University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Clinical Director, University of Maryland Medical Intelligent Imaging Center (UM2ii), University of Maryland School of Medicine, Baltimore, MD, 2022 - 2025
Chief Resident, Diagnostic Radiology, John Hopkins University, Baltimore, Maryland, 2020 - 2021
Intramural Institutional Committee Activities
Member, CNS - Radiation Oncology Clinical Department Chair Search Committee, The University of Texas MD Anderson Cancer Center, 2026 - Present
Member, Thyroid Active Monitoring and Intervention Longitudinal (TRAIL) Study Feasibility Study Consortium, The University of Texas MD Anderson Cancer Center, 2025 - Present
Committee Member, Informatics Functional Committee, The University of Texas MD Anderson Cancer Center, 2025 - Present
Committee Member, Artificial Intelligence Advisory Committee, The University of Texas MD Anderson Cancer Center, 2025 - Present
Extramural Institutional Committee Activities
Committee Member, ASNR AI White Paper Subcommittee, American Society of Neuroradiology, 2026 - 2027
Committee Member, AI Committee, American Society of Neuroradiology, 2026 - 2027
Committee Member, Imaging Informatics and Innovation Committee, American Society of Neuroradiology, 2026 - 2027
Committee Member, American Society of Functional Neuroradiology Program Committee, American Society of Functional Neuroradiology, 2025 - 2026
Committee Member, AI Ad Hoc Committee, American Society of Neuroradiology, 2025 - 2026
President, Student & Young Professionals Chapter, Coptic Medical Association of North America, 2023 - 2025
Member, Radiomics Signatures for PrecisiON Diagnostics (ReSPOND) Consortium on Glioblastoma, ReSPOND Consortium, 2022 - Present
Secretary, Student & Young Professionals Chapter, Coptic Medical Association of North America, 2021 - 2022
Honors & Awards
| 2025 - 2026 | FY26 Brain Metastasis Research Award, Andrew M. McDougall Brain Metastasis Clinic and Research Program |
| 2024 | Second Place Best Poster and Demonstration Award, Society for Imaging Informatics in Medicine |
| 2023 - 2024 | Foundation of the ASNR Grant Receipient, American Society of Neuroradiology |
| 2021 | Distinction in Quality & Safety, Johns Hopkins University School of Medicine |
| 2021 | Roentgen Resident Research Award, Radiological Society of North America |
| 2021 | Distinction in Informatics, Johns Hopkins University School of Medicine |
| 2021 | Second Place Trainee Paper Prize, Association of University Radiologists |
| 2020 | Research Award for Radiology Residents and Fellows, Johns Hopkins University School of Medicine |
| 2019 | Innovation Challenge People’s Choice Award, Society for Imaging Informatics in Medicine |
| 2019 | Second Place Trainee Paper Prize, Association of University Radiologists |
| 2019 | ACR-AUR Research Scholar, Association of University Radiologists |
| 2018 | Introduction to Academic Research (ITAR) Scholar, Radiological Society of North America |
| 2018 | Riva and Albert B. Shackman Research Award, Johns Hopkins University School of Medicine |
| 2018 | R1 Most Cases Read, Johns Hopkins University School of Medicine |
| 2018 | R1 Most Scholarly Activity, Johns Hopkins University School of Medicine |
| 2018 | First Place Scientific Award, Society for Imaging Informatics in Medicine |
| 2017 | Intern Resident of the Year, St. Agnes Hospital |
| 2016 | Hackathon First Place Award, Society for Imaging Informatics in Medicine |
| 2012 | First Place 2012 Health Data Initiative, Institute of Medicine |
| 2012 | Summa Cum Laude, Rice University |
| 2012 | Phi Beta Kappa Honor Society, Rice University |
| 2009 - 2016 | Rice/Baylor Medical Scholars Program |
| 2009 - 2012 | Century Scholar, Rice University |
| 2009 - 2012 | President’s Honor Roll, Rice University |
| 2009 | Samuel T. Sikes Jr. Scholarship, Rice University |
| 2009 | United States Presidential Scholar, United States Department of Education |
| 2009 | Intel Science Talent Search Semifinalist |
Professional Memberships
Selected Presentations & Talks
Local Presentations
- 2026. Artificial Intelligence in Medical Imaging for High School Students. Invited. Neuroradiology Summer Youth Program. Houston, Texas, US.
- 2026. Skull Base Interesting Cases. Monday Education Case Conference. Houston, Texas, US.
- 2025. Vascular Interesting Cases. Monday Education Case Conference. Houston, Texas, US.
- 2025. FY26 Brain Metastasis Research Award Proposal: Evaluating the Utility of 3D Machine-Learning Based Volumetric Segmentation for the Assessment of Intracranial Metastatic Disease Treatment Response. Invited. Brain Metastasis Lab Meeting. Houston, Texas, US.
- 2024. Demyelinating Disease. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2024. Aging & Degeneration. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2024. Introduction to MRI Sequences: DWI. University of Maryland Resident Noon Conference. Baltimore, MD, US.
- 2024. Pituitary Panel. University of Maryland School of Medicine Pre-Clinical Curriculum. Baltimore, MD, US.
- 2023. MRI Safety Decision-Making for Fellows. University of Maryland Neuroradiology Fellows Conference. Baltimore, MD, US.
- 2023. Imaging of Head & Neck Infections. University of Maryland Noon Conference. Baltimore, MD, US.
- 2023. Diffusion Weighted Imaging. University of Maryland Noon Conference. Baltimore, MD, US.
- 2023. Neuroradiology Board Review. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2023. Pituitary Panel. University of Maryland School of Medicine Pre-clinical Curriculum. Baltimore, MD, US.
- 2023. Aging & Degeneration. University of Maryland Resident Morning Conference. Baltimore, MD, US.
- 2022. Demyelinating Disease. University of Maryland Resident Morning Conference. Baltimore, MD, US.
Regional Presentations
- 2025. From Pixels to Practice: Exploring Barriers to Artificial Intelligence Implementation in Neuroradiology. Invited. 6th Annual Department of Diagnostic & Interventional Imaging Research Retreat. Houston, Texas, US.
- 2025. Fundamentals of DWI Imaging. Invited. Diagnostic Radiology Morning Conference. Baltimore, Maryland, US.
- 2024. Transition to Faculty Panel. Panelist. 2024 Brain Tumor Center Neuro-Oncology Trainee Scientific Symposium. Houston, Texas, US.
- 2023. Beyond the X-ray: Exploring Artificial Intelligence in Medical Imaging. Invited. 11th Annual STEM Symposium. Baltimore, MD, US.
- 2023. Advanced MR Protocoling: Neuro Applications. Invited. Hot Topics in MRI. Baltimore, Maryland, US.
National Presentations
- 2025. Artificial Intelligence in Medical Imaging: A Primer for Radiology Residents. Invited. Johns Hopkins Resident Morning Conference. Baltimore, Maryland, US.
- 2025. Artificial Intelligence in Neuroimaging. Invited. Hot Topics in MR Imaging for the Technologist. Aurora, Colorado, US.
- 2023. Multimodality in Radiology AI Research. Panelist. Radiology: Artificial Intelligence TweetChat, US.
- 2023. Introduction to Convolutional Neural Networks. Invited. Fundamentals of Artificial Intelligence Couse. Tuscaloosa County, Alabama, US.
- 2023. Barriers to AI Applications in Healthcare. Panelist. Radiology: Artificial Intelligence TweetChat, US.
International Presentations
- 2025. From Pixels to Practice: Exploring Barriers to Artificial Intelligence in Neuroradiology. Invited. International Symposium on Biomedical Imaging. Houston, US.
Grant & Contract Support
| Date: | 2026 - 2028 |
| Title: | Photon Counting CT & Artificial Intelligence for Extranodal Extension Detection in Head & Neck Cancer |
| Funding Source: | American Society of Head and Neck Radiology |
| Role: | Co-PI |
| Date: | 2025 - 2026 |
| Title: | Evaluating the Utility of 3D Machine-Learning Based Volumetric Segmentation for the Assessment of Intracranial Metastatic Disease Treatment Response |
| Funding Source: | Andrew M. McDougall Brain Metastasis Clinic and Research Program |
| Role: | PI |
| Date: | 2024 - 2025 |
| Title: | Dolphin: Accelerating Medical Insights with a UMMS-Specific Large Language Model Chatbot |
| Funding Source: | 2023 University of Maryland Innovation Challenge |
| Role: | Co-I |
| Date: | 2023 - 2024 |
| Title: | Cross-Modality Stroke Segmentation using Deep Convolutional Neural Networks for Detection of Acute Ischemic Infarcts on Non-Contrast Head CT |
| Funding Source: | Foundation of the ASNR Grant Program |
| Role: | PI |
| Date: | 2023 - 2024 |
| Title: | AI-Based Opportunistic Screening for Coronary Artery Calcium and Cardiovascular Risk on Chest XRays |
| Funding Source: | UM Institute for Health Computing Pilot Funding Program |
| Role: | Collaborator |
| Date: | 2023 - 2024 |
| Title: | Fast MRI: Making MRIs Faster Using Artificial Intelligence to Improve Patient Experiences and Hospital Efficiency |
| Funding Source: | 2022 University of Maryland Innovation Challenge |
| Role: | Collaborator |
Selected Publications
Peer-Reviewed Articles
- Salim HA, Calabrese E, Naeem A, Eldaya R, Al Qudah H, Alizada S, Msherghi A, Rudie JD, Bakas S, Wintermark M, Kamel P. MRI Radiomics for Survival Prediction in Brain Metastases: A Machine Learning Analysis. AJNR Am J Neuroradiol, 2026. e-Pub 2026. PMID: 42716711.
- Kamel PI, Naeem A, Shah K, Wintermark M. A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease. AJNR Am J Neuroradiol, 2026. e-Pub 2026. PMID: 42386367.
- Kamel P, Naeem A, Salim H, Alizada S, Msherghi A, Barakat C, Wintermark M, Shah K. Evaluating the Utility and Limitations of Machine Learning Tumor Segmentation for Automated Longitudinal RANO Treatment Response Classification. AJNR Am J Neuroradiol, 2026. e-Pub 2026. PMID: 42034563.
- Reddy B, Mutyam R, Fleiter TR, Dreizin D, Kamel PI. Chronic Subdural Hematoma Segmentation: A Dedicated Model to Overcome the Limitations of Acute Hemorrhage Segmentation Across Chronic Subdural Hematoma Subtypes and Density Variations. J Imaging Inform Med, 2026. e-Pub 2026. PMID: 41979753.
- Zheng G, Kamel P, Pillai JJ, Akhbardeh A, Braverman V, Jacobs MA, Parekh VS. Adaptive, Privacy-Preserving Small Language Models for Multi-Task Clinical Assistance. J Imaging Inform Med, 2026. e-Pub 2026. PMID: 41826595.
- Farhat M, Dagher SA, Rowell S, Zhu G, Kamel P, Raghavan P, Hinson HE, Schreiber M, Wintermark M. CT-Based Assessment of Brain Edema May Predict Which Patients with Traumatic Brain Injury May Benefit from Tranexamic Acid. AJNR Am J Neuroradiol 47(6):1695-1702, 2026. e-Pub 2026. PMID: 41819798.
- Kavandi H, Costenbader K, Yazbek S, Kamel P, Yahyavi-Firouz-Abadi N, Jeudy J. Performance Evaluation of a Commercial Deep Learning Software for Detecting Intracranial Hemorrhage in a Pediatric Population. J Imaging Inform Med, 2026. e-Pub 2026. PMID: 41629667.
- Kamel PI, Wintermark M. Artificial Intelligence in Stroke Imaging: A Review of Current Applications and Limitations. Semin Neurol 46(1):86-91, 2025. e-Pub 2025. PMID: 40812376.
- Kamel PI, Doo FX, Savani D, Kanhere A, Yi PH, Parekh VS. Standardizing Heterogeneous MRI Series Description Metadata Using Large Language Models. J Imaging Inform Med 39(1):962-972, 2025. e-Pub 2025. PMID: 40442564.
- Kamel P, Kanhere A, Kulkarni P, Khalid M, Steger R, Bodanapally U, Gandhi D, Parekh V, Yi PH. Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences. J Imaging Inform Med 38(2):717-726, 2025. e-Pub 2025. PMID: 39138749.
- Miller L, Kamel P, Patel J, Agrawal J, Zhan M, Bumbarger N, Wang K. A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support. J Imaging Inform Med 38(4):2294-2302, 2024. e-Pub 2024. PMID: 39508992.
- Haver HL, Bahl M, Doo FX, Kamel P, Parekh VS, Jeudy J, Yi PH. Evaluation of Multimodal ChatGPT (GPT-4V) in Describing Mammography Image Features. Can Assoc Radiol J 75(4):947-949, 2024. e-Pub 2024. PMID: 38581353.
- Kamel P, Khalid M, Steger R, Kanhere A, Kulkarni P, Parekh V, Yi PH, Gandhi D, Bodanapally U. Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts. J Imaging Inform Med 38(3):1484-1495, 2024. e-Pub 2024. PMID: 39384719.
- Trang A, Putman K, Savani D, Chatterjee D, Zhao J, Kamel P, Jeudy JJ, Parekh VS, Yi PH. Sociodemographic biases in a commercial AI model for intracranial hemorrhage detection. Emerg Radiol 31(5):713-723, 2024. e-Pub 2024. PMID: 39034382.
- Kamel P, Brookmeyer C, Tang H, Solnes L, Lin CT. Conference Attendance Tracking and Evaluation in the Era of Virtual Conferences. Acad Radiol 29 Suppl 5:S76-S81, 2022. e-Pub 2022. PMID: 35042665.
- Kamel PI, Yi PH, Sair HI, Lin CT. Prediction of Coronary Artery Calcium and Cardiovascular Risk on Chest Radiographs Using Deep Learning. Radiol Cardiothorac Imaging 3(3):e200486, 2021. e-Pub 2021. PMID: 34235441.
- Nguyen DL, Kamel P, Gomez EN. Preparing junior radiology residents for overnight call via peer-led, hands-on simulation. Emerg Radiol 28(3):589-599, 2021. e-Pub 2021. PMID: 33452965.
- Kamel PI, Nagy PG. Patient-Centered Radiology with FHIR: an Introduction to the Use of FHIR to Offer Radiology a Clinically Integrated Platform. J Digit Imaging 31(3):327-333, 2018. e-Pub 2018. PMID: 29725963.
- Kamel PI, Qu X, Geiszler AM, Nagrath D, Harmancey R, Taegtmeyer H, Grande-Allen KJ. Metabolic regulation of collagen gel contraction by porcine aortic valvular interstitial cells. J R Soc Interface 11(101):20140852, 2014. e-Pub 2014. PMID: 25320066.
Abstracts
- Farhat M, Dagher S, Zhu G, Rowell S, Kamel P, Raghavan P, Hinson H, Schreiber M, Wintermark M. Developing a Quantitative Imaging Tool to Identify Candidates for Tranexamic Acid Treatment in Acute Traumatic Brain Injury. Radiological Society of North America Annual Meeting.
- Mohan S, Garcia J, Akbari H, Kwak S, Baik K, Shalaby M, Matsumoto Y, Bakas S, Kamel P, Tippareddy C, Badve C, Lee M, Barnholtz-Sloan J, Sloan A, Chakravarti A, Palmer J, Dicker A, Flanders A, Shi W, Jain R, LaMontagne P, Marcus D, Sotiras A, Balana C, Capellades J, Puig J, Cepeda S, Di Stefano AL, Wiestler B, Woodworth G, ORourke D, Nasrallah M, Davatzikos C. Multi-Institutional Validation of an AI-Based Model for Prediction of Tumor Infiltration and Future Recurrence in Patients With Glioblastoma: Results From the ReSPOND Consortium. Society for Neuro-Oncology Annual Meeting.
- Kavandi H, Costenbader K, Kamel P, Yazbek S, Yahyavi N, Jeudy J. Evaluate Effectiveness and Accuracy of Deep Learning for Detecting ICH in a Pediatric Population. American Roentgen Ray Society.
- Kavandi H, Costenbader K, Kamel P, Yazbek S, Yahyavi N, Jeudy J. Evaluate Effectiveness and Accuracy of Deep Learning for Detecting ICH in a Pediatric Population. American Society of Neuroradiology Annual Meeting.
- Kamel P, Trang A, Podell J, Bodanapally U. Localization of Diffuse Axonal Injury Lesions using Machine Learning Segmentation and Anatomic Parcellation. American Society of Neuroradiology Annual Meeting.
- Zheng G, Kamel P, Jacobs M, Braverman V, Parekh V. One SLM Is All You Need: Adaptive, Privacy-Preserving Small Language Models for Multi-Task Clinical Assistance. Radiological Society of North America.
- Kamel P, Shah K, Wintermark M. Evaluating the Utility of 3D-Volumetric Tumor Segmentation for RANO Intracranial Treatment Response Assessment. 2026 American Society of Neuroradiology (ASNR) Annual Meeting.
- Kamel P, Yu D, Wintermark M. Does One Size Fit All for Brain Tumor Segmentation? Assessing the Performance of Segmentation Models Trained on Glioblastoma for the Evaluation of Intracranial Metastatic Disease. 2026 American Society of Neuroradiology (ASNR) Annual Meeting.
- Kamel P, Naeem A, Shah K, Wintermark M. A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease. 2026 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting.
- Kamel P, Qu P, Nagrath D, Harmancey R, Taegtmeyer H, Grande-Allen KJ. Contraction of Porcine Aortic Valvular Interstitial Cells in Collagen and Fibrin Gels under Various Metabolic Substrates. Southern Biomedical Engineering Conference.
- Zaidi H, Kennedy E, Kamel P, Ren R, Corbett E. Using Social Media and Technology to Spread Awareness, Educate Patients, and Increase Vaccine Compliance. American Public Health Association Annual Meeting.
- Kamel P, Qu P, Nagrath D, Harmancey R, Taegtmeyer H, Grande-Allen KJ. Collagen Gel Contraction Assay for Evaluation of Porcine Aortic Valve Interstitial Cell Glycolytic Metabolism. Cardiovascular Pathology.
- Garg N, Kamel P, Sadruddin S, Herskovic J, Vining D, McEnery K. Compression of Radiology Reports Using a Semi-static Dictionary and Directed Pseudoforest. Radiological Society of North America Annual Meeting.
- Kamel P, Sedgwick E. Semantic Parsing of Breast Imaging Reports. American Roentgen Ray Society Annual Meeting.
- Kamel P, Nagy P. Using FHIR to offer an Integrated Patient-Centered Radiology Portal. Society for Imaging Informatics in Medicine Hackathon Exhibition.
- Kamel P, Johnson P, Nagy P. Dashboard for Big Data Analysis of Detection and Communication of Critical Findings. Society for Imaging Informatics in Medicine Annual Meeting.
- Kamel P, Hasty K, Nagy P, Johnson P. Dashboard for Large-Scale Data Analysis of Detection and Communication of Critical Findings. American College of Radiology Annual Conference on Quality & Safety.
- Kamel P, Solnes L, Nagy P, Horton K, Johnson P. A Large-Scale Data Analysis of Variables Contributing to Diagnostic Errors of On-Call Residents. Association of University Radiologists Annual Meeting.
- Yi P, Hostetter J, Kamel P, Sair H. The PACS-Integrated Machine Learning Data Curation & Project Management Platform. Society for Imaging Informatics in Medicine Innovation Challenge.
- Kamel P, Yi P, Sair H, Lin C. Estimation of Agatston Calcium Scores on Chest Radiographs using Machine Learning. Radiological Society of North America.
- Kamel P, Yi P, Wei J, Sair H. A Machine Learning Algorithm for the Assessment of Osteoporosis on Chest Radiographs. Radiological Society of North America.
- Yi P, Kamel P, Lin C, Hostetter J, Sair H. Variability in PACS Image Storage & Labeling Conventions in an Academic Imaging Enterprise: Implications for Machine Learning Dataset Assembly. Society for Imaging Informatics in Medicine Annual Meeting.
- Yi P, Kamel P, Sing D, Yang J, Tornetta III P, Della Valle C, Sair H, Hostetter J. Enabling Multicenter Machine Learning Collaboration: Implementation of A PACS-integrated Bulk Extraction & Anonymization Tool. Society for Imaging Informatics in Medicine Annual Meeting.
- Kamel P, Yi P, Lin C. Deep Learning-Based Quantification of Emphysema on Chest Radiographs. Society of Thoracic Radiology Annual Meeting.
- Kamel P, Brookmeyer C, Tang H, Solnes L, Lin C. Conference Attendance Tracking and Evaluation in the Era of Virtual Conferences. Association of University Radiologists Annual Meeting.
- Kamel P, Brookmeyer C, Tang H, Solnes L, Lin C. A Web-based Platform for Rapid Creation and Monitoring of Radiology Resident and Personnel Schedules. Association of University Radiologists.
- Mazumdar I, Kamel P, Yi P, Lin C. Improvement in Deep Learning Model Performance for Classifying Thoracic Adenopathy on Lateral Chest X-rays. Conference on Machine Intelligence in Medical Imaging.
- Kamel P, Kanhere A, Kulkarni P, Parekh V, Yi PH. Optimizing Acute Stroke Segmentation: Do Additional Sequences Matter for Deep Learning Algorithms?. Society for Imaging Informatics in Medicine Annual Meeting.
- Barry E, Zhang V, Li C, Yi P, Kamel P. Evaluating Non-Anatomic Sequences to Predict the MGMT Status of Glioblastomas using Deep Learning. Conference on Machine Intelligence in Medical Imaging.
- Kamel P, Kanhere A, Kulkarni P, Khalid M, Steger R, Bodanapally U, Gandhi D, Parekh V, Yi PH. Quantifying the Technical Challenges and DICOM Metadata Variability in Stroke Machine Learning Data Curation. Radiological Society of North America.
- Trang A, Walek K, Podell J, Bodanapally U, Kamel P. Predicting Hospitalization and Clinical Outcomes in Diffuse Axonal Injury using Machine Learning Lesion Segmentation. Congress of Neurological Surgeons Annual Meeting.
- Kamel P, Khalid M, Steger R, Kanhere A, Kulkarni P, Parekh V, Yi P, Bodanapally U, Gandhi D. Cross-Modality Stroke Segmentation using Deep Convolutional Neural Networks for Detection of Acute Ischemic Infarcts on Non-Contrast Head CT. American Society of Neuroradiology Annual Meeting.
- Kamel P, Kanhere A, Kulkarni P, Khalid M, Steger R, Bodanapally U, Gandhi D, Parekh V, Yi P. Assessing the Generalizability of Acute Stroke Segmentation using a Self-Configuring Neural Network Trained on Public Data. American Society of Neuroradiology Annual Meeting.
- Kamel P, Khalid M, Steger R, Kanhere A, Kulkarni P, Parekh V, Yi P, Bodanapally U, Gandhi D. Is Dual-Energy CT Better for Deep Learning-Based Detection and Segmentation of Early Ischemic Infarcts on CT?. American Society of Neuroradiology Annual Meeting.
- Kamel P, Savani D, Doo F, Yi P, Parekh V. Standardizing MRI Series Description Metadata Using Large Language Models. Society for Imaging Informatics in Medicine Annual Meeting.
Book Chapters
- Luna L, Kamel P, Nadgir R. Radiologic Evaluation of Skull Base Masses. In: Cerebrospinal Fluid Rhinorrhea. 1. Elsevier, 179-198.
Patient Reviews
CV information above last modified September 13, 2026