Johannes C. Paetzold
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. | Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold |
| 2025 | MICCAI | Graph Conditioned Diffusion for Controllable Histopathology Image Generation. | Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz |
| 2025 | MICCAI | Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine. | Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Mller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke |
| 2025 | MICCAI | MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. | Robert Graf, Hendrik Kristian Mller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Vlzke, Robin Blow, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke |
| 2025 | MICCAI | Fine-Tuning Vision Language Models with Graph-Based Knowledge for Explainable Medical Image Analysis. | Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold |
| 2025 | WACV | 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 |
| 2024 | MICCAI | Supervised Contrastive Learning for Image-to-Graph Transformers. | Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | MICCAI | Topologically Faithful Multi-class Segmentation in Medical Images. | Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Brgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold |
| 2024 | MICCAI | Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. | Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Mller, Sophie Starck, Thomas Krncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke |
| 2024 | MICCAI | Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. | Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | MICCAI | 3D Vessel Graph Generation Using Denoising Diffusion. | Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze |
| 2024 | MICCAI | Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. | Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wlchli, Daniel Razansky, Bjoern H. Menze |
| 2024 | WACV | Link Prediction for Flow-Driven Spatial Networks. | Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze |
| 2023 | ICCV | 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 |
| 2023 | ICML | Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes. | Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. | Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mhlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze |
| 2022 | ECCV | Relationformer: A Unified Framework for Image-to-Graph Generation. | 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 | MICCAI | Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. | Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | Can Collaborative Learning Be Private, Robust and Scalable? | Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis |
| 2022 | WACV | METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. | Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertrk, Bjoern H. Menze |
| 2021 | CVPR | clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. | Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze |
| 2021 | MICCAI | Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. | Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren |
| 2020 | MICCAI | Inferring the 3D Standing Spine Posture from 2D Radiographs. | Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. | Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze |
| 2020 | MICCAI | Aν-Net: Automatic Detection and Segmentation of Aneurysm. | Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze |
| 2019 | MICCAI | DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. | Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze |
| 2019 | MICCAI | Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. | Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze |