Kareem Wahid

Affiliations: 
2019- Quantitative Sciences UT MD Anderson Cancer Center 
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"Kareem Wahid"
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Nosrat F, Dede C, McCullum LB, et al. (2025) 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: 100715
Wahid KA, Dede C, El-Habashy DM, et al. (2025) Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge. Head and Neck Tumor Segmentation For Mr-Guided Applications : First Miccai Challenge, Hnts-Mrg 2024, Held in Conjunction With Miccai 2024, Marrakesh, Morocco, October 17, 2024, Proceedings. 15273: 1-35
McCullum L, Belal Z, Floyd W, et al. (2025) A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR. Medrxiv : the Preprint Server For Health Sciences
Mao S, Wang J, McMillan H, et al. (2025) Exploring Quantitative MRI Biomarkers of Head and Neck Post-Radiation Lymphedema and Fibrosis: Post Hoc Analysis of a Prospective Trial. Head & Neck
Wahid KA, Dede C, El-Habashy DM, et al. (2024) Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge. Arxiv
Nosrat F, Dede C, McCullum LB, et al. (2024) Optimal Timing of Organs-at-risk-sparing Adaptive Radiation Therapy for Head-and-neck Cancer under Re-planning Resource Constraints. Medrxiv : the Preprint Server For Health Sciences
Kamel S, Humbert-Vidan L, Kaffey Z, et al. (2024) Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors. Medrxiv : the Preprint Server For Health Sciences
Wahid KA, Kaffey ZY, Farris DP, et al. (2024) Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 201: 110542
Salama V, Godinich B, Geng Y, et al. (2024) Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review. Journal of Pain and Symptom Management
Zhao Y, Wang X, Phan J, et al. (2024) Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers. Medical Physics
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