Instructors

Prof. Dr. Christian Wachinger, Fabian Bongratz, Yitong Li, Emre Kavak, Alexandra Samoylova

Contact

If you have any questions regarding this seminar, contact seminars@ai-med.de.

Announcements

Organizational slides from the kickoff: ML-Neuro Seminar Winter 25_26_ Kickoff.pdf
Slides from the pre-course meeting: ML-Neuro pre-course.pdf
The pre-course meeting is on 17 July 2025, 11am via Zoom. Zoom link: https://tum-conf.zoom-x.de/j/61826350981?pwd=gqMNfz5MWaNp2iEOka1RbGpWvjCskC.1 Meeting ID: 618 2635 0981 Passcode: 395511

Registration

Registration to the seminar is done via the TUM Matching Platform. Pay attention to the deadlines!!

Timeline

17.7.2025, 11am: pre-course meeting
23.10.2025, 9:30am, Seminarraum Holbeinstrasse 11: Kickoff, assignment of papers (attendance is mandatory)
During the semester: meet your supervisor (optional but recommended)
Wed 7.1.2026 9am - 3pm & Fri 9.1.2026: 9am - 3pm, Seminarraum Holbeinstrasse 11: Block seminar (attendance is mandatory)

Topics

Paper ID	Title	Published in	Link	Group/Supervisor	Student
1	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images	IEEE Transactions on Medical Image Analysis	https://ieeexplore.ieee.org/document/10680156	Emre	Wala Hasnaoui
2	Detecting shortcut learning for fair medical AI using shortcut testing	Nature Communications	https://www.nature.com/articles/s41467-023-39902-7	Emre	Daria Bondareva
3	Enhancing fairness in AI-enabled medical systems with the attribute neutral framework	Nature Communications	https://www.nature.com/articles/s41467-024-52930-1	Emre	Leo Eckert
4	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge	CVPR 2025	https://arxiv.org/abs/2411.12915	Yitong	Filippo Focaccia
5	A deep learning system for detecting silent brain infarction and predicting stroke risk	Nature biomedical engineering	https://www.nature.com/articles/s41551-025-01413-9	Yitong	Sofiia Danylchenko
6	Time-to-Event Pretraining for 3D Medical Imaging	ICLR 2025	https://arxiv.org/abs/2411.09361	Yitong	Noah Hurmer
7	AI-based differential diagnosis of dementia etiologies on multimodal data	Nature Medicine	https://doi.org/10.1038/s41591-024-03118-z	Alexandra	Marc-Philipp Funk
8	BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning	IEEE Transactions on Medical Image Analysis	https://doi.org/10.1109/TMI.2024.3414476	Alexandra	Na Lu
9	Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis	MICCAI 2024	https://doi.org/10.1007/978-3-031-72069-7_43	Alexandra	Alisa Dubkova
10	Large language models forecast patient health trajectories enabling digital twins	npj Digital Medicine	https://www.nature.com/articles/s41746-025-02004-3	Fabian	Benedikt Münch
11	Large language models surpass human experts in predicting neuroscience results	Nature Human Behavior	https://www.nature.com/articles/s41562-024-02046-9	Fabian	Elsa Fernanda
12	A generalist foundation model and database for open-world medical image segmentation	Nature Biomedical Engineering	https://www.nature.com/articles/s41551-025-01497-3	Fabian	Jasmine Al-Aani