Computational Imaging for Tumor Biology Syed Rakin Ahmed

Radiotherapy-induced Cherenkov luminescence imaging in a human body phantom.

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data.

Artificial intelligence applied to musculoskeletal oncology: a systematic review.

An assessment of the feasibility of local oxygen sensing with radiotherapy induced luminescence from Cherenkov sheet imaging.

AdrenoBERT: automated multiclass categorization of adrenal abnormalities from free-text radiology reports using transformer language models.

Federated learning for prostate cancer vendor neutral models.

Evaluation of a novel contrast mechanism utilizing nanoparticles as contrast agents for electrical property imaging of the prostate and breast

Making the Most of Limited Data with Self-Supervised Learning for Breast Cancer Screening.

Deep learning-based prediction of breast cancer tumor and immune phenotypes from digitized histopathology.