Won first place in two MICCAI 2024 challenges; secured several high-impact grants.
Research Experience
Involved in multiple research projects related to medical image processing; organized challenges and workshops at MICCAI conferences.
Background
Research interests include developing machine and deep learning models in various fields of medicine to support personalized medical decision-making, improving patient outcomes.
Miscellany
Collaborates with the Z-Inspection® initiative, adopting its process for assessing the trustworthiness of real-life AI systems.