Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Retinal Imaging and Analysis, AI in cancer detection, and Artificial Intelligence in Healthcare and Education.
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
International evaluation of an AI system for breast cancer screening
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
Self-Supervised MultiModal Versatile Networks
Neural Information Processing Systems 2020cited by 25position: middle
Clinically applicable deep learning for diagnosis and referral in retinal disease
A Probabilistic U-Net for Segmentation of Ambiguous Images