Martin J. Menten

About Me

I am an independent research group leader at the Technical University Munich. My AI for Vision group is funded by the Emmy Noether Programme of the German Research Foundation and is hosted at the Chair for AI in Healthcare and Medicine. I also have secondary affiliations with the Munich Center for Machine Learning and Imperial College London.

I studied physics at the University of Heidelberg from 2008 to 2014. Subsequently, I earned my PhD from the Institute of Cancer Research in London, where I developed automated strategies to adapt external beam radiotherapy to anatomical changes. After completing my doctoral studies in 2019, I transitioned into computer science by joining the Biomedical Image Analysis group at Imperial College London. In 2021, I moved to the Technical University of Munich, where I established my own research group in 2024.

AI for Vision group

The AI for Vision Group in February 2025.

I lead the AI for Vision group that focuses on the development and application of machine learning algorithms for the fields of medical imaging and ophthalmology. We are particularly interested in weakly and self-supervised learning to address data scarcity in healthcare and the integration of multimodal clinical data with medical images.

Currently, the group consists of six PhD students:

Alexander Weers
Andrea Posada Cárdenas
David Mildenberger (co-supervised with Professor Daniel Rueckert)
Lucie Huang
Linus Kreitner (co-supervised with Professor Daniel Rueckert)
Wenke Karbole

Selected Publications

For a complete and up-to-date list of my publications, please check out my Google Scholar profile.

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets

CVPR 2025

D Mildenberger, P Hager, D Rueckert, MJ Menten

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Metadata-enhanced contrastive learning from retinal optical coherence tomography images

Medical Image Analysis, 2024

R Holland, O Leingang, H Bogunović, S Riedl, L Fritsche, T Prevost, HPN Scholl, U Schmidt-Erfurth, S Sivaprasad, AJ Lotery, D Rueckert, MJ Menten

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Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

IEEE Transactions on Medical Imaging, 2024

L Kreitner, JC Paetzold, N Rauch, C Chen, AM Hagag, AE Fayed, S Sivaprasad, S Rausch, J Weichsel, BH Menze, M Harders, B Knier, D Rueckert, MJ Menten

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A skeletonization algorithm for gradient-based optimization

ICCV 2023

MJ Menten, JC Paetzold, VA Zimmer, S Shit, I Ezhov, R Holland, M Probst, JA Schnabel, D Rueckert

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Clustering disease trajectories in contrastive feature space for biomarker proposal in age-related macular degeneration

MICCAI 2023

R Holland, O Leingang, C Holmes, P Anders, R Kaye, S Riedl, JC Paetzold, I Ezhov, H Bogunović, U Schmidt-Erfurth, HPN Scholl, S Sivaprasad, AJ Lotery, D Rueckert, MJ Menten

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