Dr. Matthias Wilms

Biography

Matthias Wilms is an Assistant Professor in the Department of Radiology at the University of Michigan, where he focuses on the development of machine learning solutions for medical image analysis applications. His research integrates generative machine learning methods to accurately model complex dynamics of both normal and pathological processes in the human body. Wilms emphasizes the importance of sensitivity and specificity in models used for healthcare, and he addresses the critical need for explainability, interpretability, and fairness in decision-making processes so that clinicians and patients can trust these systems. His work also includes the challenge of developing effective methods from limited data, a common issue in medical settings. Over the years, he has led interdisciplinary research projects that apply machine learning techniques, including efforts directed at modeling respiratory motion for radiation therapy and neuroimaging applications that focus on detecting ocular and non-ocular diseases and discovering imaging biomarkers from retinal imaging data.

Research Interests