Robin Peretzke

According to our database, Robin Peretzke authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning.

Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein

CoRR, March, 2026

Abstract: An OpenMind for 3D Medical Vision Self-supervised Learning.

Constantin Ulrich, Tassilo Wald, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Köhler, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Multimodal Classification of Radiation-induced Contrast Enhancement and Tumor Recurrence using Deep Learning.

Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

Abstract: Unlocking the Potential of Digital Pathology - Novel Baselines for Compression.

Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series.

Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rokuss, Robin Peretzke, David Zimmerer, Klaus H. Maier-Hein

CoRR, December, 2025

Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging.

Nico Disch, Yannick Kirchhoff, Robin Peretzke, Maximilian Rokuss, Saikat Roy, Constantin Ulrich, David Zimmerer, Klaus H. Maier-Hein

CoRR, August, 2025

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, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec

CoRR, June, 2025

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection.

Alexandra Ertl, Shuhan Xiao, Stefan Denner, Robin Peretzke, David Zimmerer, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein

CoRR, April, 2025

An OpenMind for 3D Medical Vision Self-supervised Learning.

Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Köhler, Klaus Maier-Hein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes.

Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

An OpenMind for 3D medical vision self-supervised learning.

Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Michal Nohel, Robin Peretzke, Klaus H. Maier-Hein

CoRR, 2024

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein

CoRR, 2024

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification.

Jessica Kächele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series.

Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.

Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning.

Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher

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