Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Deep learning, Artificial intelligence, Medicine, Medical imaging, Prostate cancer, and Oncology.
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings
OA10.03 Tarlatamab Sustained Clinical Benefit and Safety in Previously Treated SCLC: DeLLphi-301 Phase 2 Extended Follow-up
AI recognition of patient race in medical imaging: a modelling study
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
An AI-derived digital pathology-based biomarker to predict the benefit of androgen deprivation therapy in localized prostate cancer with validation in NRG/RTOG 9408.
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging