@ IKIM
EN Universitätsmedizin Essen — Institut für Künstliche Intelligenz in der Medizin
Constantin Seibold

Constantin Seibold

Teamleitung Computer Vision
Institut für Künstliche Intelligenz in der Medizin · Karlsruher Institut für Technologie
Doktorand, Karlsruher Institut für Technologie (KIT), Institut für Anthropomatik und Robotik (IAR) In meiner Arbeit untersuche ich Algorithmen, die Radiologen bei der Entscheidungsfindung zu verschiedenen Erkrankungen unterstützen. Dabei konzentriere ich mich vor allem auf Deep-Learning-Ansätze für medizinische Bilddaten und die Probleme realer Anwendungsszenarien wie geringe Mengen an Annotationen und/oder Label-Rauschen. Besonders interessieren mich daher schwach und semi-überwachte Verfahren für die medizinische Bildanalyse, die in diesen Szenarien bestehen.

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 Improving Medical Visual Instruction Tuning with Labeled Datasets Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koraş, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek Foundation Models for General Medical AI Region-Normalized DPO for Medical Image Segmentation under Noisy Judges Hamza Kalisch, Constantin Seibold, Jens Kleesiek, Ken Herrmann, Frederic Jonske arXiv

2025

CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation Hamza Kalisch, Fabian Hörst, Jens Kleesiek, Ken Herrmann, Constantin Seibold 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) Does Biomedical Training Lead to Better Medical Performance? Amin Dada, Osman Alperen Koraş, Marie Bauer, Jean-Philippe Corbeil, Amanda Butler Contreras, Constantin Seibold, Kaleb Smith, Julian Friedrich, Jens Kleesiek Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM²) Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models Lukas Heine, Anna Vahldiek, Benja Vahldiek, Fabian Hörst, Constantin Seibold, Mael Lever, Laurenz Pauleikhoff, Nikolaos Bechrakis, Daniel Pauleikhoff, Jens Kleesiek Translational Vision Science & Technology De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy Moritz Rempe, Lukas Heine, Constantin Seibold, Fabian Hörst, Jens Kleesiek European Radiology 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 Foreign object segmentation in chest x-rays through anatomy-guided shape insertion Constantin Seibold, Hamza Kalisch, Lukas Heine, Simon Reiß, Jens Kleesiek arXiv Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Jan Egger, Fin Hendrik Bahnsen, Saquib Sarfraz, Jens Kleesiek, Constantin Seibold, M. Saquib Sarfraz Machine Learning Methods in Visualisation for Big Data (EuroVis Workshop) Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models Lukas Heine, Anna Vahldiek, Benja Vahldiek, Fabian Hörst, Constantin Seibold, Mael Lever, Laurenz Pauleikhoff, Nikolaos Bechrakis, Daniel Pauleikhoff, Jens Kleesiek Translational Vision Science & Technology Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries Frederic Jonske, Moon-Sung Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek Computer Methods and Programs in Biomedicine

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 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) Tumor likelihood estimation on MRI prostate data by utilizing k-Space information Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marco Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek arXiv CLUE: A Clinical Language Understanding Evaluation for LLMs Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koraş, Constantin Seibold, Kaleb Smith, Jens Kleesiek arXiv 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

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 CellViT: Vision Transformers for Precise Cell Segmentation and Classification Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek arXiv Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek Computerized Medical Imaging and Graphics 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 On the Impact of Cross-Domain Data on German Language Models Amin Dada, Aokun Chen, Cheng Peng, Kaleb Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu

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 Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, 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 A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Bucher, Hannes Goetz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Elisabeth Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek npj Digital Medicine 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)