Johannes C. Paetzold

118 papers A* 5A 3Journal 72Unranked 37
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort.
CoRR
Hendrik Kristian Möller, Hanna Schön, Alina Dima, Benjamin Keinert-Weth, Robert Graf, Matan Atad, Johannes C. Paetzold, Friederike Jungmann, Rickmer Braren, Florian Kofler, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation.
CoRR
Rachit Saluja, Asli Cihangir, Ruining Deng, Johannes C. Paetzold, Fengbei Liu, Mert R. Sabuncu
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 — 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
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
CoRR
Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
GRAIL/RIME@MICCAI
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025 J jnl
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
CoRR
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
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
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
MICCAI (13)
Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke
2025 J jnl
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
CoRR
Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Klaus Berger, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke
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
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
DT4H@MICCAI
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
CoRR
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation.
CoRR
Ying Chen, Rami Al-Maskari, Izabela Horvath, Mayar Ali, Luciano Höher, Kaiyuan Yang, Zengming Lin, Zhiwei Zhai, Mengzhe Shen, Dejin Xun, Yi Wang, Tony Xu, Maged Goubran, Yunheng Wu, Kensaku Mori, Johannes C. Paetzold, Ali Ertürk
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
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
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.
CoRR
Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas
2025 A* conf
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2025 J jnl
Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic.
IEEE Trans. Medical Imaging
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025 J jnl
Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic.
CoRR
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2024 — conf
3D Vessel Graph Generation Using Denoising Diffusion.
MICCAI (11)
Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze
2024 J jnl
3D Vessel Graph Generation Using Denoising Diffusion.
CoRR
Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze
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 — conf
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Möller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data.
CoRR
Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Möller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results.
J. Priv. Confidentiality
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2024 J jnl
Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology.
CoRR
Nico Stucki, Vincent Bürgin, Johannes C. Paetzold, Ulrich Bauer
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
FedPID: An Aggregation Method for Federated Learning.
CoRR
Leon Mächler, Gustav Grimberg, Ivan Ezhov, Manuel Nickel, Suprosanna Shit, David Naccache, Johannes C. Paetzold
2024 A conf
Link Prediction for Flow-Driven Spatial Networks.
WACV
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2024 J jnl
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers.
IEEE Trans. Medical Imaging
Hailong He, Johannes C. Paetzold, Nils Börner, Erik Riedel, Stefan Gerl, Simon Schneider, Chiara Fisher, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Daniel Rückert, Juan Aguirre, Tilo Biedermann, Ulf Darsow, Bjoern H. Menze, Vasilis Ntziachristos
2024 — conf
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
MIDL
Robert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke
2024 A* conf
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization.
NeurIPS
Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
2024 J jnl
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization.
CoRR
Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
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 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024 — conf
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images.
MICCAI (8)
Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern H. Menze
2024 J jnl
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images.
CoRR
Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern H. Menze
2024 — conf
Supervised Contrastive Learning for Image-to-Graph Transformers.
GRAIL@MICCAI
Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Surface Normal Estimation with Transformers.
CoRR
Barry Shichen Hu, Siyun Liang, Johannes C. Paetzold, Huy H. Nguyen, Isao Echizen, Jiapeng Tang
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
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
CoRR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 — conf
Topologically Faithful Multi-class Segmentation in Medical Images.
MICCAI (8)
Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
Topologically faithful multi-class segmentation in medical images.
CoRR
Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.
CoRR
Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke
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 — 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
Differentially Private Graph Neural Networks for Whole-Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 J jnl
FedPIDAvg: A PID controller inspired aggregation method for Federated Learning.
CoRR
Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold
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 J jnl
Link Prediction for Flow-Driven Spatial Networks.
CoRR
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2023 — conf
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
MICCAI (8)
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
CoRR
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2023 A* conf
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes.
ICML
Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer
2023 — conf
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images.
MIDL
Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze
2023 — —
Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns)
Johannes C. Paetzold
2022 J jnl
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR
Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze
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 — conf
Can Collaborative Learning Be Private, Robust and Scalable?
DeCaF/FAIR@MICCAI
Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR
Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
2022 — conf
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
BrainLes@MICCAI
Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
CoRR
Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
Differentially Private Graph Classification with GNNs.
CoRR
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2022 — conf
FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning.
BrainLes@MICCAI (2)
Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold
2022 J jnl
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
IEEE Trans. Medical Imaging
Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Chantal Pellegrini, Marcel Kollovieh, Fernando Navarro, Hongwei Li, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
2022 A conf
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
WACV
Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertürk, Bjoern H. Menze
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
2022 — conf
Relationformer: A Unified Framework for Image-to-Graph Generation.
ECCV (37)
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2022 J jnl
Relationformer: A Unified Framework for Image-to-Graph Generation.
CoRR
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2022 J jnl
SRflow: Deep learning based super-resolution of 4D-flow MRI data.
Frontiers Artif. Intell.
Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Carolin M. Pirkl, Bjoern H. Menze
2022 J jnl
SoK: Differential Privacy on Graph-Structured Data.
CoRR
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
2022 — conf
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.
GeoMedIA
Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze
2022 J jnl
Topologically faithful image segmentation via induced matching of persistence barcodes.
CoRR
Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer
2022 — conf
Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
BrainLes@MICCAI
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
CoRR
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
2021 J jnl
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR
Giles Tetteh, Fernando Navarro, Johannes C. Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze
2021 J jnl
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR
Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes C. Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna P. Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze
2021 — conf
FedCostWAvg: A New Averaging for Better Federated Learning.
BrainLes@MICCAI (2)
Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
2021 J jnl
FedCostWAvg: A new averaging for better Federated Learning.
CoRR
Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Bjoern H. Menze
2021 — conf
Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge.
BrainLes@MICCAI (2)
Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren
2021 J jnl
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge.
CoRR
Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren
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
2021 J jnl
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
CoRR
Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze
2021 — conf
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging.
MLMI@MICCAI
Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren
2021 J jnl
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations.
CoRR
Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipková, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze
2021 J jnl
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR
Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler
2021 — conf
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.
IPMI
Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Nils Thuerey, Bjoern H. Menze
2021 J jnl
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal.
Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2021 J jnl
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR
Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze
2021 — conf
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
NeurIPS Datasets and Benchmarks
Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail I. Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze
2021 A* conf
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
CVPR
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze
2020 — conf
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images.
MICCAI (6)
Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze
2020 J jnl
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR
Kelly Payette, Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C. Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, Hui Ji, Levente Lanczi, Marianna Nagy, Monika Beresova, Thi Dao Nguyen, Giancarlo Natalucci, Theofanis Karayannis, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
2020 J jnl
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images.
CoRR
Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze
2020 — conf
Aν-Net: Automatic Detection and Segmentation of Aneurysm.
CADA@MICCAI
Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze
2020 — conf
Inferring the 3D Standing Spine Posture from 2D Radiographs.
MICCAI (6)
Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze
2020 J jnl
Inferring the 3D Standing Spine Posture from 2D Radiographs.
CoRR
Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze
2020 J jnl
Real-time Bayesian personalization via a learnable brain tumor growth model.
CoRR
Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Fernando Navarro, Marie Metz, Benedikt Wiestler, Björn H. Menze
2020 — conf
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
MIDL
Ahmad Bin Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze
2020 J jnl
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
CoRR
Ahmad Bin Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze
2020 J jnl
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR
Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2020 J jnl
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation.
CoRR
Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze
2019 — conf
A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information.
BrainLes@MICCAI (1)
Florian Kofler, Johannes C. Paetzold, Ivan Ezhov, Suprosanna Shit, Daniel Krahulec, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
2019 J jnl
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis.
CoRR
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze
2019 — conf
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.
MICCAI (4)
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze
2019 J jnl
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation.
CoRR
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze
2019 — conf
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.
MLMI@MICCAI
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze