@ IKIM
EN Universitätsmedizin Essen — Institut für Künstliche Intelligenz in der Medizin
Rainer Stiefelhagen

Rainer Stiefelhagen

Director Computer Vision for Human-Computer Interaction Lab
Karlsruher Institut für Technologie

Publikationen

2026

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT – Multitracer Multicenter Generalization Jakob Dexl, Katharina Jeblick, Andreas Mittermeier, Balthasar Schachtner, Anna Theresa Stüber, Johanna Topalis, Maximilian R. Rokuss, Fabian Isensee, Klaus Maier-Hein, Hamza Kalisch, Jens Kleesiek, Constantin Seibold, Hussain Alasmawi, Lap Yan Lennon Chan, Yixuan Yuan, Alexander Jaus, Rainer Stiefelhagen, Pauline Ornela Megne Choudja, Konstantin Nikolaou, Christian la Fougère, Sergios Gatidis, Matthias P. Fabritius, Maurice Heimer, Gizem Abaci, Lalith Kumar Shiyam Sundar, Rudolf A. Werner, Jens Ricke, Clemens C. Cyran, Thomas Küstner, Michael Ingrisch arXiv Enforcing Anatomical Symmetry with Euclidean Distance Transforms for Low-Field MRI Bilateral Structure Segmentation Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance GRASPing Anatomy to Improve Pathology Segmentation Keyi Li, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen Machine Learning in Medical Imaging Not All Ensembles Are Equal: A Short Study on Moderate to Severe Traumatic Brain Injury Segmentation Methods Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries OmniMedSeg: A Large-Scale Standardized Benchmark for Interactive Medical Image Segmentation Zdravko Marinov, Alexander Jaus, Simon Reiß, Tobias Schlumberger, Jiale Wei, Di Wen, Junwei Zheng, Jens Kleesiek, Rainer Stiefelhagen

2025

AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization Jakob Dexl, Sergios Gatidis, Marcel Früh, Katharina Jeblick, Andreas Mittermeier, Anna Theresa Stüber, Balthasar Schachtner, Johanna Topalis, Matthias P. Fabritius, Sijing Gu, Gowtham Krishnan Murugesan, Jeff VanOss, Jin Ye, Junjun He, Anissa Alloula, Bartłomiej W. Papież, Zacharia Mesbah, Romain Modzelewski, Matthias Hadlich, Zdravko Marinov, Rainer Stiefelhagen, Fabian Isensee, Klaus Maier-Hein, Adrian Galdran, Konstantin Nikolaou, Christian la Fougère, Moon-Sung Kim, Nico Kallenberg, Jens Kleesiek, Ken Herrmann, Rudolf A. Werner, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Journal of Nuclear Medicine MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque Rafique Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin Hendrik Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Ferreira Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Björn Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger, Zongwei Zhou, Jiancheng Yang, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Viet Duc Vu, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Heinrich Mächler, Thomas Küstner, Arcot Sowmya, Vincenzo Ferrari, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Timo van Meegdenburg, Zdravko Marinov, Paul F. Jäger, Rainer Stiefelhagen, Fabian Hörst, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Gregor Schiele, Ti-chiun Chang, Seyed-Ahmad Ahmadi, Thomas M. Deserno, Pascal Fua, Alan L. Yuille Biomedical Engineering / Biomedizinische Technik

2024

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks Alexander Jaus, Constantin Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen The 39th Annual AAAI Conference on Artificial Intelligence Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging Sergios Gatidis, Marcel Früh, Matthias P. Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Nature Machine Intelligence Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen 2024 IEEE International Conference on Image Processing (ICIP) Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen arXiv Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen CVPR24 MedSAMonLaptop Anatomy-Guided Pathology Segmentation Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon-Sung Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen IEEE Transactions on Pattern Analysis and Machine Intelligence Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods Zdravko Marinov, Moon-Sung Kim, Jens Kleesiek, Rainer Stiefelhagen

2023

Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen arXiv Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon-Sung Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen arXiv The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging Sergios Gatidis, Marcel Früh, , Matthias Fabritius, Sijing Gu, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazolli, Mehdi Astaraki, Bernhard Schölkopf, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen arXiv Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon-Sung Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen ISBI 2023

2022

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding Constantin Seibold, Simon Reiß, Saquib Sarfraz, Matthias A. Fink, Victoria L. Mayer, Jan Sellner, Moon-Sung Kim, Klaus Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen 33rd British Machine Vision Conference AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob M. Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek arXiv Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism Matthias A. Fink, Constantin Seibold, Hans-Ulrich Kauczor, Rainer Stiefelhagen, Jens Kleesiek Diagnostics Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

2021

Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen arXiv:2112.00735 [cs, eess] CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism Matthias A. Fink, Victoria L. Mayer, Thomas Schneider, Constantin Seibold, Rainer Stiefelhagen, Jens Kleesiek, Tim F. Weber, Hans-Ulrich Kauczor Radiology Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek ISBI 2021

2020

Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen Proceedings of the Asian Conference on Computer Vision (ACCV)