Constantin Seibold

61 papers A* 3A 2B 2C 1Journal 38Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond benchmarks: Towards robust artificial intelligence bone segmentation in socio-technical systems. Expert Syst. Appl. Kunpeng Xie, Lennart Johannes Gruber, Martin Crampen, Yao Li, André Ferreira, Elias Tappeiner, Maxime Gillot, Jan Schepers, Jiangchang Xu, Tobias Pankert, Michel Beyer, Negar Shahamiri, Reinier ten Brink, Gauthier Dot, Charlotte Weschke, Niels van Nistelrooij, Pieter-Jan Verhelst, Yan Guo, Zhibin Xu, Jonas Bienzeisler, Ashkan Rashad, Tabea Flügge, Ross Cotton, Shankeeth Vinayahalingam, Robert R. Ilesan, Stefan Raith, Dennis Madsen, Constantin Seibold, Tong Xi, Stefaan Berge', Sven Nebelung, Oldrich Kodym, Osku Sundqvist, Florian M. Thieringer, Hans Lamecker, Antoine Coppens, Thomas Potrusil, Joep Kraeima, Max J. H. Witjes, Guomin Wu, Xiaojun Chen, Adriaan Lambrechts, Lucia H. S. Cevidanes, Stefan Zachow, Alexander Hermans, Daniel Truhn, Victor Alves, Jan Egger, Rainer Röhrig, Frank Hölzle, Behrus Hinrichs-Puladi
2026	J	`jnl`	Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding. CoRR Thinesh Thiyakesan Ponbagavathi, Constantin Seibold, Alina Roitberg
2026	J	`jnl`	Region-Normalized DPO for Medical Image Segmentation under Noisy Judges. CoRR Hamza Kalisch, Constantin Seibold, Jens Kleesiek, Ken Herrmann, Frederic Jonske
2025	J	`jnl`	Automatic Fine-grained Segmentation-assisted Report Generation. CoRR Frederic Jonske, Constantin Seibold, Osman Alperen Koras, Fin Hendrik Bahnsen, Marie Bauer, Amin Dada, Hamza Kalisch, Anton Schily, Jens Kleesiek
2025	—	`conf`	CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation. ICCVW Hamza Kalisch, Fabian Hörst, Jens Kleesiek, Ken Herrmann, Constantin Seibold
2025	J	`jnl`	CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation. CoRR Hamza Kalisch, Fabian Hörst, Jens Kleesiek, Ken Herrmann, Constantin Seibold
2025	J	`jnl`	Foreign object segmentation in chest x-rays through anatomy-guided shape insertion. CoRR Constantin Seibold, Hamza Kalisch, Lukas Heine, Simon Reiß, Jens Kleesiek
2025	J	`jnl`	Good Enough: Is it Worth Improving your Label Quality? CoRR Alexander Jaus, Zdravko Marinov, Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2025	—	`conf`	Improving Medical Visual Instruction Tuning with Labeled Datasets. MedAGI Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek
2025	J	`jnl`	Is Visual in-Context Learning for Compositional Medical Tasks within Reach? CoRR Simon Reiß, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen
2025	J	`jnl`	Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. Comput. Methods Programs Biomed. Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
2024	—	`conf`	Anatomy-Guided Pathology Segmentation. MICCAI (8) Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
2024	J	`jnl`	Anatomy-guided Pathology Segmentation. CoRR Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
2024	J	`jnl`	Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT. CoRR Hamza Kalisch, Fabian Hörst, Ken Herrmann, Jens Kleesiek, Constantin Seibold
2024	J	`jnl`	CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Anal. Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
2024	J	`jnl`	De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy. CoRR Moritz Rempe, Lukas Heine, Constantin Seibold, Fabian Hörst, Jens Kleesiek
2024	—	`conf`	Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models. ISBI Phuong Quynh Le, Jens Kleesiek, Constantin Seibold
2024	J	`jnl`	Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. CoRR Alexander Jaus, Constantin Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen
2024	—	`conf`	IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations. ClinicalNLP@NAACL Marie Bauer, Constantin Seibold, Jens Kleesiek, Amin Dada
2024	J	`jnl`	Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. CoRR Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Miriam Balzer, Jan Egger, Fin Hendrik Bahnsen, M. Saquib Sarfraz, Jens Kleesiek, Constantin Seibold
2024	—	`conf`	Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen
2024	J	`jnl`	Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints. CoRR Jonas Nasimzada, Jens Kleesiek, Ken Herrmann, Alina Roitberg, Constantin Seibold
2024	B	`conf`	Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset. ICIP Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
2024	J	`jnl`	Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. CoRR Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marco Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek
2023	J	`jnl`	Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen
2023	J	`jnl`	CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
2023	A*	`conf`	Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2023	—	`conf`	Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. ISBI Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen
2023	J	`jnl`	Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. CoRR Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen
2023	—	`conf`	On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023	J	`jnl`	Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. CoRR Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
2023	—	`—`	Towards the automatic generation of medical reports in low supervision scenarios Constantin Seibold
2023	J	`jnl`	Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 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
2023	J	`jnl`	Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
2022	C	`conf`	A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. IV Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen
2022	J	`jnl`	A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. CoRR Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen
2022	—	`conf`	Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
2022	J	`jnl`	Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
2022	J	`jnl`	Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen
2022	—	`conf`	Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2022	A*	`conf`	Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CVPR M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen
2022	J	`jnl`	Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CoRR M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen
2022	B	`conf`	Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. ICPR Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knaeble, Thorsten Schwarz, Alexander Maedche, Rainer Stiefelhagen
2022	J	`jnl`	Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. CoRR Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen
2022	J	`jnl`	Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR 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
2021	J	`jnl`	A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. npj Digit. Medicine Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Götz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda 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
2021	A*	`conf`	Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	J	`jnl`	Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	—	`conf`	Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. ROBIO Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen
2021	J	`jnl`	Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. CoRR Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen
2021	A	`conf`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. IROS Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen
2021	J	`jnl`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. CoRR Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen
2021	—	`conf`	Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. EUSIPCO Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen
2021	J	`jnl`	Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. CoRR Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen
2021	—	`conf`	Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism. ISBI Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
2021	J	`jnl`	Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. CoRR Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
2021	J	`jnl`	Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. CoRR Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2020	J	`jnl`	Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. CoRR Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen
2020	—	`conf`	Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. ACCV (5) Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen
2019	A	`conf`	Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. BMVC M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen
2019	J	`jnl`	Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. CoRR M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen