Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. - Jonske, Frederic; Kim, Moon S.; Nasca, Enrico; Evers, Janis; Haubold, Johannes; Hosch, René; Nensa, Felix; Kamp, Michael; Seibold, Constantin; Egger, Jan; Kleesiek, Jens (Comput. Methods Programs Biomed., 2025)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. - Jaus, Alexander; Seibold, Constantin Marc; Reiß, Simon; Marinov, Zdravko; Li, Keyi; Ye, Zeling; Krieg, Stefan; Kleesiek, Jens; Stiefelhagen, Rainer (2025)

Foreign object segmentation in chest x-rays through anatomy-guided shape insertion. - Seibold, Constantin; Kalisch, Hamza; Heine, Lukas; Reiß, Simon; Kleesiek, Jens (CoRR, 2025)

Good Enough: Is it Worth Improving your Label Quality? - Jaus, Alexander; Marinov, Zdravko; Seibold, Constantin; Reiß, Simon; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2025)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? - Reiß, Simon; Marinov, Zdravko; Jaus, Alexander; Seibold, Constantin; Sarfraz, M. Saquib; Rodner, Erik; Stiefelhagen, Rainer (CoRR, 2025)

CellViT: Vision Transformers for precise cell segmentation and classification. - Hörst, Fabian; Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Keyl, Julius; Baldini, Giulia; Ugurel, Selma; Siveke, Jens; Grünwald, Barbara; Egger, Jan; Kleesiek, Jens (Medical Image Anal., 2024)

IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations. - Bauer, Marie; Seibold, Constantin; Kleesiek, Jens; Dada, Amin (2024)

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset. - Jaus, Alexander; Seibold, Constantin; Hermann, Kelsey; Shahamiri, Negar; Walter, Alexandra; Giske, Kristina; Haubold, Johannes; Kleesiek, Jens; Stiefelhagen, Rainer (2024)

Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models. - Le, Phuong Quynh; Kleesiek, Jens; Seibold, Constantin (2024)

Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. - Seletkov, Dmitrii; Reiß, Simon; Freytag, Alexander; Seibold, Constantin; Stiefelhagen, Rainer (2024)

Anatomy-Guided Pathology Segmentation. - Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Heine, Lukas; Schily, Anton; Kim, Moon S.; Bahnsen, Fin Hendrik; Herrmann, Ken; Stiefelhagen, Rainer; Kleesiek, Jens (2024)

CLUE: A Clinical Language Understanding Evaluation for LLMs. - Dada, Amin; Bauer, Marie; Contreras, Amanda Butler; Koras, Osman Alperen; Seibold, Constantin Marc; Smith, Kaleb E.; Kleesiek, Jens (CoRR, 2024)

Anatomy-guided Pathology Segmentation. - Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Heine, Lukas; Schily, Anton; Kim, Moon; Bahnsen, Fin Hendrik; Herrmann, Ken; Stiefelhagen, Rainer; Kleesiek, Jens (CoRR, 2024)

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. - Rempe, Moritz; Hörst, Fabian; Seibold, Constantin; Hadaschik, Boris; Schlimbach, Marc; Egger, Jan; Kröninger, Kevin; Breuer, Felix; Blaimer, Martin; Kleesiek, Jens (CoRR, 2024)

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT. - Kalisch, Hamza; Hörst, Fabian; Herrmann, Ken; Kleesiek, Jens; Seibold, Constantin (CoRR, 2024)

Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints. - Nasimzada, Jonas; Kleesiek, Jens; Herrmann, Ken; Roitberg, Alina; Seibold, Constantin (CoRR, 2024)

Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. - Heine, Lukas; Hörst, Fabian; Fragemann, Jana; Luijten, Gijs; Balzer, Miriam; Egger, Jan; Bahnsen, Fin Hendrik; Sarfraz, M. Saquib; Kleesiek, Jens; Seibold, Constantin (CoRR, 2024)

De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy. - Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Hörst, Fabian; Kleesiek, Jens (CoRR, 2024)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. - Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Marinov, Zdravko; Li, Keyi; Ye, Zeling; Krieg, Stefan; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2024)

Towards the automatic generation of medical reports in low supervision scenarios - Seibold, Constantin (2023)

Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. - Ester, Oliver; Hörst, Fabian; Seibold, Constantin; Keyl, Julius; Ting, Saskia; Vasileiadis, Nikolaos; Schmitz, Jessica; Ivanyi, Philipp; Grünwald, Viktor; Bräsen, Jan Hinrich; Egger, Jan; Kleesiek, Jens (Comput. Medical Imaging Graph., 2023)

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. - Reiß, Simon; Seibold, Constantin; Freytag, Alexander; Rodner, Erik; Stiefelhagen, Rainer (2023)

On the Impact of Cross-Domain Data on German Language Models. - Dada, Amin; Chen, Aokun; Peng, Cheng; Smith, Kaleb E.; Idrissi-Yaghir, Ahmad; Seibold, Constantin; Li, Jianning; Heiliger, Lars; Friedrich, Christoph M.; Truhn, Daniel; Egger, Jan; Bian, Jiang; et al. (2023)

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. - Hallitschke, Verena Jasmin; Schlumberger, Tobias; Kataliakos, Philipp; Marinov, Zdravko; Kim, Moon; Heiliger, Lars; Seibold, Constantin; Kleesiek, Jens; Stiefelhagen, Rainer (2023)

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. - Hallitschke, Verena Jasmin; Schlumberger, Tobias; Kataliakos, Philipp; Marinov, Zdravko; Kim, Moon; Heiliger, Lars; Seibold, Constantin; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2023)

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. - Seibold, Constantin; Jaus, Alexander; Fink, Matthias A.; Kim, Moon; Reiß, Simon; Herrmann, Ken; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2023)

CellViT: Vision Transformers for Precise Cell Segmentation and Classification. - Hörst, Fabian; Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Keyl, Julius; Baldini, Giulia; Ugurel, Selma; Siveke, Jens; Grünwald, Barbara; Egger, Jan; Kleesiek, Jens (CoRR, 2023)

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. - Jonske, Frederic; Kim, Moon S.; Nasca, Enrico; Evers, Janis; Haubold, Johannes; Hosch, René; Nensa, Felix; Kamp, Michael; Seibold, Constantin; Egger, Jan; Kleesiek, Jens (CoRR, 2023)

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. - Jaus, Alexander; Seibold, Constantin; Hermann, Kelsey; Walter, Alexandra; Giske, Kristina; Haubold, Johannes; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Dada, Amin; Chen, Aokun; Peng, Cheng; Smith, Kaleb E.; Idrissi-Yaghir, Ahmad; Seibold, Constantin Marc; Li, Jianning; Heiliger, Lars; Yang, Xi; Friedrich, Christoph M.; Truhn, Daniel; Egger, Jan; et al. (CoRR, 2023)

Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. - Seibold, Constantin Marc; Reiß, Simon; Kleesiek, Jens; Stiefelhagen, Rainer (2022)

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. - Seibold, Constantin Marc; Reiß, Simon; Sarfraz, M. Saquib; Fink, Matthias A.; Mayer, Victoria; Sellner, Jan; Kim, Moon-Sung; Maier-Hein, Klaus H.; Kleesiek, Jens; Stiefelhagen, Rainer (2022)

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. - Sarfraz, M. Saquib; Koulakis, Marios; Seibold, Constantin; Stiefelhagen, Rainer (2022)

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. - Reiß, Simon; Seibold, Constantin; Freytag, Alexander; Rodner, Erik; Stiefelhagen, Rainer (2022)

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. - Schölch, Lukas; Steinhäuser, Jonas; Beichter, Maximilian; Seibold, Constantin; Yang, Kailun; Knaeble, Merlin; Schwarz, Thorsten; Maedche, Alexander; Stiefelhagen, Rainer (2022)

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. - Roitberg, Alina; Peng, Kunyu; Marinov, Zdravko; Seibold, Constantin; Schneider, David; Stiefelhagen, Rainer (2022)

Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. - Seibold, Constantin; Reiß, Simon; Sarfraz, M. Saquib; Stiefelhagen, Rainer; Kleesiek, Jens (2022)

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. - Sarfraz, M. Saquib; Koulakis, Marios; Seibold, Constantin; Stiefelhagen, Rainer (CoRR, 2022)

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. - Roitberg, Alina; Peng, Kunyu; Marinov, Zdravko; Seibold, Constantin; Schneider, David; Stiefelhagen, Rainer (CoRR, 2022)

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. - Schölch, Lukas; Steinhäuser, Jonas; Beichter, Maximilian; Seibold, Constantin; Yang, Kailun; Knäble, Merlin; Schwarz, Thorsten; Mädche, Alexander; Stiefelhagen, Rainer (CoRR, 2022)

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. - Seibold, Constantin; Reiß, Simon; Sarfraz, M. Saquib; Stiefelhagen, Rainer; Kleesiek, Jens (CoRR, 2022)

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. - Seibold, Constantin; Reiß, Simon; Sarfraz, M. Saquib; Fink, Matthias A.; Mayer, Victoria; Sellner, Jan; Kim, Moon-Sung; Maier-Hein, Klaus H.; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2022)

Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. - Ester, Oliver; Hörst, Fabian; Seibold, Constantin; Keyl, Julius; Ting, Saskia; Vasileiadis, Nikolaos; Schmitz, Jessica; Ivanyi, Philipp; Grünwald, Viktor; Bräsen, Jan Hinrich; Egger, Jan; Kleesiek, Jens (CoRR, 2022)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Salg, Gabriel Alexander; Ganten, Maria-Katharina; Bucher, Andreas Michael; Kenngott, Hannes Götz; Fink, Matthias A.; Seibold, Constantin; Fischbach, Ricarda; Schlamp, Kai; Velandia, Carlos Alberto; Fervers, Philipp; Doellinger, Felix; Luger, Anna; et al. (npj Digit. Medicine, 2021)

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. - Reiß, Simon; Seibold, Constantin; Freytag, Alexander; Rodner, Erik; Stiefelhagen, Rainer (2021)

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. - Marinov, Zdravko; Vasileva, Stanka; Wang, Qing; Seibold, Constantin; Zhang, Jiaming; Stiefelhagen, Rainer (2021)

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. - Roitberg, Alina; Schneider, David; Djamal, Aulia; Seibold, Constantin; Reiß, Simon; Stiefelhagen, Rainer (2021)

Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism. - Seibold, Constantin; Fink, Matthias A.; Goos, Charlotte; Kauczor, Hans-Ulrich; Schlemmer, Heinz-Peter; Stiefelhagen, Rainer; Kleesiek, Jens (2021)

Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. - Tan, Haobin; Chen, Chang; Luo, Xinyu; Zhang, Jiaming; Seibold, Constantin; Yang, Kailun; Stiefelhagen, Rainer (2021)

Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. - Seibold, Constantin; Fink, Matthias A.; Goos, Charlotte; Kauczor, Hans-Ulrich; Schlemmer, Heinz-Peter; Stiefelhagen, Rainer; Kleesiek, Jens (CoRR, 2021)

Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. - Reiß, Simon; Seibold, Constantin; Freytag, Alexander; Rodner, Erik; Stiefelhagen, Rainer (CoRR, 2021)

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. - Marinov, Zdravko; Vasileva, Stanka; Wang, Qing; Seibold, Constantin; Zhang, Jiaming; Stiefelhagen, Rainer (CoRR, 2021)

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. - Roitberg, Alina; Schneider, David; Djamal, Aulia; Seibold, Constantin; Reiß, Simon; Stiefelhagen, Rainer (CoRR, 2021)

Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. - Tan, Haobin; Chen, Chang; Luo, Xinyu; Zhang, Jiaming; Seibold, Constantin; Yang, Kailun; Stiefelhagen, Rainer (CoRR, 2021)

Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. - Seibold, Constantin; Reiß, Simon; Kleesiek, Jens; Stiefelhagen, Rainer (CoRR, 2021)

Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. - Seibold, Constantin; Kleesiek, Jens; Schlemmer, Heinz-Peter; Stiefelhagen, Rainer (2020)

Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. - Seibold, Constantin; Kleesiek, Jens; Schlemmer, Heinz-Peter; Stiefelhagen, Rainer (CoRR, 2020)

Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. - Sarfraz, M. Saquib; Seibold, Constantin; Khalid, Haroon; Stiefelhagen, Rainer (2019)

Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. - Sarfraz, M. Saquib; Seibold, Constantin; Khalid, Haroon; Stiefelhagen, Rainer (CoRR, 2019)