Martin J. Menten

According to our database, Martin J. Menten authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.

Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert

CoRR, 2024

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.

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

CoRR, 2024

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers.

Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

CoRR, 2024

2023

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.

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

Medical Image Anal., 2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.

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.

CoRR, 2023

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI.

Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert

CoRR, 2023

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.

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

CoRR, 2023

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

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

CoRR, 2023

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines.

Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.

Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Metrics to Quantify Global Consistency in Synthetic Medical Images.

Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

A skeletonization algorithm for gradient-based optimization.

Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data.

Paul Hager, Martin J. Menten, Daniel Rueckert

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Metadata-enhanced contrastive learning from retinal optical coherence tomography images.

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

CoRR, 2022

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.

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

Proceedings of the Machine Learning for Health, 2022

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs.

Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias.

Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2021

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography.

Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2018

Statistical Motion Mask and Sliding Registration.

Björn Eiben, Elena H. Tran, Martin J. Menten, Uwe Oelfke, David J. Hawkes, Jamie R. McClelland

Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018