David Sher, MD

Automating post-operative primary clinical target volume (CTV) segmentation in head and neck (H&N) cancers is challenging due to the surgical absence of the primary tumor and anatomical heterogeneity. Without the distinct radiographic boundaries of a gross tu...

To clinically validate an implicit neural representation (INR)-based fitting approach for intravoxel incoherent motion (IVIM) diffusion MRI parameter estimation against conventional non-linear least squares (NLLS), and to evaluate a robustness metric (R-index...

Combination radiopharmaceutical therapy (RPT) and external beam radiation therapy (EBRT) is an underexplored strategy that may improve outcomes over either modality alone; however, practical implementation requires a clear understanding of dosimetry and radia...

Online adaptive prostate MR-guided radiotherapy (MRgRT) is time-sensitive, and contouring with structure preparation can require upwards of 15 minutes per fraction. While vendor-TPS provided contours can be useful, performance and consistency vary by site, pr...

Lung cancer cases frequently involve multiple lesions, and treatment with a single isocenter can introduce geometric uncertainties, particularly due to inter-fraction motion. Online adaptive radiotherapy (ART) offers a strategy to mitigate these effects. This...

Direct-to-unit (DTU) radiotherapy, which bypasses CT simulation and prospective planning, offers an opportunity to markedly shorten the interval from consultation to treatment and expand access to timely breast cancer care. Building on prior feasibility work,...

Deep learning (DL)-based dose prediction has become an important component of modern radiotherapy treatment planning. However, most existing approaches depend on site-specific models, necessitating separate training for each anatomical site, which limits scal...