Kareem Wahid
Affiliations: | 2019- | Quantitative Sciences | UT MD Anderson Cancer Center |
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"Kareem Wahid"
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| Salzillo TC, Dresner MA, Way A, et al. (2023) 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 site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer. Journal of Medical Imaging (Bellingham, Wash.). 10: 065501 |
| El-Habashy DM, Wahid KA, He R, et al. (2023) Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment. Medrxiv : the Preprint Server For Health Sciences |
| Ye Z, Saraf A, Ravipati Y, et al. (2023) Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer. Jama Network Open. 6: e2328280 |
| McDonald BA, Cardenas CE, O'Connell N, et al. (2023) Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers. Medical Physics |
| El-Habashy DM, Wahid KA, He R, et al. (2023) 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 : the Preprint Server For Health Sciences |
| Andrearczyk V, Oreiller V, Abobakr M, et al. (2023) Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, Hecktor 2022, Held in Conjunction With Miccai 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3rd : 2022 : Singapor.... 13626: 1-30 |
| S R Mohamed A, Abusaif A, He R, et al. (2023) Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109641 |
| Wahid KA, Lin D, Sahin O, et al. (2023) Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. Scientific Data. 10: 161 |
| Ye Z, Saraf A, Ravipati Y, et al. (2023) Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline. Medrxiv : the Preprint Server For Health Sciences |
| Sahlsten J, Wahid KA, Glerean E, et al. (2023) 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. Frontiers in Oncology. 13: 1120392 |