Matthias Wilms

Assistant Professor, University of Michigan - Ann Arbor

Joined

December 2018

Names

Matthias Wilms (Preferred)

Emails

****@imi.uni-luebeck.de (Confirmed)

****@ucalgary.ca (Confirmed)

****@med.umich.edu (Confirmed)

****@umich.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Assistant Professor

University of Michigan - Ann Arbor (umich.edu)

2025 – Present

Assistant Professor

University of Calgary (ucalgary.ca)

2022 – 2025

Postdoc

University of Calgary (ucalgary.ca)

2019 – 2022

PhD student

Universität zu Lübeck (uni-luebeck.de)

2012 – 2018

Advisors, Relations & Conflicts

Coauthor

Nils daniel Forkert

2016 – Present

Coauthor

In Young Ha

2016 – Present

Coauthor

Mattias P. Heinrich

2013 – Present

Coauthor

Heinz Handels

2011 – Present

PhD Advisor

Heinz Handels

2009 – Present

Coauthor

Jan Ehrhardt

2009 – Present

Coauthor

Rene Werner

2009 – Present

Expertise

medical image analysis

generative modeling

trustworthy AI

Present

Publications

A novel gradient inversion attack framework to investigate privacy vulnerabilities during retinal image-based federated learning
Christopher Nielsen, Matthias Wilms, Nils D. Forkert
- Medical Image Anal. 2026
- Readers: Everyone
Semi-disentangled spatiotemporal implicit neural representations of longitudinal neuroimaging data for trajectory classification
Agampreet Aulakh, Nils D. Forkert, Matthias Wilms
- CoRR 2025
- Readers: Everyone
MACAW: A Causal Generative Model for Medical Imaging
Vibujithan Vigneshwaran, Erik Yuiti Ohara, Matthias Wilms, Nils Forkert
- Accepted by TMLR
- Readers: Everyone
Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge
Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann et al. (30 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine A Lebel, John T. Lysack, Leslie Salgado, Emma A.M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells et al. (5 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Evaluating Shortcut Utilization in Deep Learning Disease Classification through Counterfactual Analysis
Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza, Erik Ohara, Matthias Wilms, Nils Forkert
- MIDL 2025 Oral
- Readers: Everyone
Accounting for population structure in deep learning models for genomic analysis
Gabrielle Dagasso, Matthias Wilms, Raissa Souza, Nils D. Forkert
- J. Biomed. Informatics 2025
- Readers: Everyone
Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation
Haley Gillett, Emma A. M. Stanley, Raissa Souza, Matthias Wilms, Nils D. Forkert
- HAIC@MICCAI 2025
- Readers: Everyone
Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons
Chris Kang, Jasmine A. Moore, Samuel Robertson, Matthias Wilms, Emma K. Towlson, Nils D. Forkert
- Neural Networks 2025
- Readers: Everyone
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis
Raissa Souza, Emma A. M. Stanley, Anthony J. Winder, Chris Kang, Kimberly Amador, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
- npj Digit. Medicine 2025
- Readers: Everyone

View all 112 publications

Co-Authors

View all 202 co-authors