Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Prostate Cancer Diagnosis and Treatment, Prostate Cancer Treatment and Research, Radiomics and Machine Learning in Medical Imaging, and Heart Failure Treatment and Management.
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI
Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning
Prostate Cancer Nodal Staging: Using Deep Learning to Predict 68Ga-PSMA-Positivity from CT Imaging Alone
Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer
Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer
Optimizing size thresholds for detection of clinically significant prostate cancer on MRI: Peripheral zone cancers are smaller and more predictable than transition zone tumors