Martin J. Menten

57 papers A* 3A 1Journal 36Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. IEEE Trans. Medical Imaging Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2026	J	`jnl`	Step-resolved data attribution for looped transformers. CoRR Georgios Kaissis, David Mildenberger, Juan Felipe Gómez, Martin J. Menten, Eleni Triantafillou
2025	A*	`conf`	A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. CVPR David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten
2025	J	`jnl`	A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. CoRR David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten
2025	A	`conf`	Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. WACV Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025	J	`jnl`	Efficient numeracy in language models through single-token number embeddings. CoRR Linus Kreitner, Paul Hager, Jonathan Mengedoht, Georgios Kaissis, Daniel Rueckert, Martin J. Menten
2025	—	`conf`	Fine-Tuning Vision Language Models with Graph-Based Knowledge for Explainable Medical Image Analysis. MICCAI (14) Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025	J	`jnl`	Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis. CoRR Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025	J	`jnl`	Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. CoRR Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Alaa E. Fayed, Sobha Sivaprasad, Linus Kreitner, Jonas Weidner, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025	—	`conf`	Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data. LMID@MICCAI Moritz Knolle, Martin J. Menten, Daniel Rueckert, Georgios Kaissis, Ben Glocker
2025	J	`jnl`	On Arbitrary Predictions from Equally Valid Models. CoRR Sarah Lockfisch, Kristian Schwethelm, Martin J. Menten, Rickmer Braren, Daniel Rueckert, Alexander Ziller, Georgios Kaissis
2025	—	`conf`	Pitfalls of Topology-Aware Image Segmentation. IPMI (1) Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025	—	`conf`	Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging. CMMCA@MICCAI Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik, Charly Caredda, Luca Giannoni, Frédéric Lange, Laurin Lux, Jonas Weidner, Alexander H. Berger, Florian Kofler, Martin J. Menten, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert, Ivan Ezhov
2025	—	`conf`	Skelite: Compact Neural Networks for Efficient Iterative Skeletonization. IPMI (1) Luis D. Reyes Vargas, Martin J. Menten, Johannes C. Paetzold, Nassir Navab, Mohammad Farid Azampour
2025	J	`jnl`	Skelite: Compact Neural Networks for Efficient Iterative Skeletonization. CoRR Luis D. Reyes Vargas, Martin J. Menten, Johannes C. Paetzold, Nassir Navab, Mohammad Farid Azampour
2025	J	`jnl`	Specialized curricula for training vision language models in retinal image analysis. npj Digit. Medicine Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau
2025	J	`jnl`	Stochastic Siamese MAE Pretraining for Longitudinal Medical Images. CoRR Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025	J	`jnl`	Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning. CoRR Chenjun Li, Cheng Wan, Laurin Lux, Alexander H. Berger, Richard B. Rosen, Martin J. Menten, Johannes C. Paetzold
2025	J	`jnl`	Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. Medical Image Anal. Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2024	—	`conf`	CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data. MOVI@MICCAI Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori
2024	J	`jnl`	Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers. CoRR Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024	J	`jnl`	Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). CoRR Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten
2024	J	`jnl`	Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. CoRR Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2024	—	`conf`	Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. GRAIL@MICCAI Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024	J	`jnl`	Image registration is a geometric deep learning task. CoRR Vasiliki Sideri-Lampretsa, Nil Stolt Ansó, Martin J. Menten, Huaqi Qiu, Julian McGinnis, Daniel Rueckert
2024	J	`jnl`	Metadata-enhanced contrastive learning from retinal optical coherence tomography images. Medical Image Anal. Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2024	J	`jnl`	Pitfalls of topology-aware image segmentation. CoRR Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024	—	`conf`	Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. MICCAI (11) Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024	J	`jnl`	Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. CoRR Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024	J	`jnl`	Specialist vision-language models for clinical ophthalmology. CoRR Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
2024	J	`jnl`	Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. IEEE Trans. Medical Imaging Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
2024	J	`jnl`	Towards Generalisable Time Series Understanding Across Domains. CoRR Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert
2023	—	`conf`	3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. MICCAI (1) Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus M. Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert
2023	J	`jnl`	3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. CoRR Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus M. Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert
2023	A*	`conf`	A skeletonization algorithm for gradient-based optimization. ICCV Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert
2023	J	`jnl`	A skeletonization algorithm for gradient-based optimization. CoRR Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert
2023	J	`jnl`	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
2023	A*	`conf`	Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. CVPR Paul Hager, Martin J. Menten, Daniel Rueckert
2023	J	`jnl`	Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. CoRR Paul Hager, Martin J. Menten, Daniel Rueckert
2023	—	`conf`	Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. MICCAI (7) Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023	J	`jnl`	Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. CoRR Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023	J	`jnl`	Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs. CoRR Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
2023	J	`jnl`	Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. Medical Image Anal. Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
2023	—	`conf`	Metrics to Quantify Global Consistency in Synthetic Medical Images. DGM4MICCAI Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
2023	J	`jnl`	Metrics to Quantify Global Consistency in Synthetic Medical Images. CoRR Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
2023	—	`conf`	Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. UNSURE@MICCAI Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023	J	`jnl`	Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. CoRR Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023	J	`jnl`	Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. CoRR Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2022	—	`conf`	A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. ML4H@NeurIPS Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
2022	—	`conf`	Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. MIDOG/DRAC@MICCAI Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten
2022	J	`jnl`	Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias. CoRR Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten
2022	J	`jnl`	Metadata-enhanced contrastive learning from retinal optical coherence tomography images. CoRR Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2022	—	`conf`	Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. MICCAI (8) Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert
2022	J	`jnl`	Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs. CoRR Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert
2021	—	`conf`	Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. ISBI Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert
2021	J	`jnl`	Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling. CoRR Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
2018	—	`conf`	Statistical Motion Mask and Sliding Registration. WBIR Björn Eiben, Elena H. Tran, Martin J. Menten, Uwe Oelfke, David J. Hawkes, Jamie R. McClelland