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2020 – today
- 2024
[j3]Fabian Hörst
, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Anal. 94: 103143 (2024)- [c21]Marie Bauer, Constantin Seibold, Jens Kleesiek, Amin Dada:
IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations. ClinicalNLP@NAACL 2024: 439-447 - [c20]Phuong Quynh Le, Jens Kleesiek, Constantin Seibold:
Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models. ISBI 2024: 1-4 - [c19]Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen:
Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI 2024: 1-4 - [c18]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-Guided Pathology Segmentation. MICCAI (8) 2024: 3-13 - [i26]Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koras, Constantin Marc Seibold, Kaleb E. Smith, Jens Kleesiek:
CLUE: A Clinical Language Understanding Evaluation for LLMs. CoRR abs/2404.04067 (2024) - [i25]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-guided Pathology Segmentation. CoRR abs/2407.05844 (2024) - [i24]Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marc Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek:
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. CoRR abs/2407.06165 (2024) - [i23]Hamza Kalisch, Fabian Hörst, Ken Herrmann, Jens Kleesiek, Constantin Seibold:
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT. CoRR abs/2409.12155 (2024) - [i22]Jonas Nasimzada, Jens Kleesiek, Ken Herrmann, Alina Roitberg, Constantin Seibold:
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints. CoRR abs/2409.16382 (2024) - [i21]Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Miriam Balzer, Jan Egger, Fin Hendrik Bahnsen, M. Saquib Sarfraz, Jens Kleesiek, Constantin Seibold:
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. CoRR abs/2409.16793 (2024) - 2023
- [b1]Constantin Seibold:
Towards the automatic generation of medical reports in low supervision scenarios. Karlsruhe University, Germany, 2023 - [j2]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:
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 107: 102238 (2023) - [c17]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR 2023: 15495-15506 - [c16]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:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [c15]Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. ISBI 2023: 1-5 - [i20]Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. CoRR abs/2301.09914 (2023) - [i19]Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen:
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR abs/2306.03934 (2023) - [i18]Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR abs/2306.15350 (2023) - [i17]Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR abs/2306.17555 (2023) - [i16]Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen:
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. CoRR abs/2307.13375 (2023) - [i15]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - 2022
- [c14]Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. AAAI 2022: 2171-2179 - [c13]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [c12]M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen:
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CVPR 2022: 336-345 - [c11]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) 2022: 401-419 - [c10]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knaeble, Thorsten Schwarz, Alexander Maedche, Rainer Stiefelhagen:
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. ICPR 2022: 1607-1613 - [c9]Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen:
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. IV 2022: 1438-1444 - [c8]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) 2022: 690-700 - [i14]M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen:
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. CoRR abs/2203.12997 (2022) - [i13]Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen:
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. CoRR abs/2204.04734 (2022) - [i12]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen:
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. CoRR abs/2204.14136 (2022) - [i11]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR abs/2205.07139 (2022) - [i10]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:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - [i9]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:
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR abs/2210.11822 (2022) - 2021
- [j1]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:
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. npj Digit. Medicine 4 (2021) - [c7]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR 2021: 9532-9542 - [c6]Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen:
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. EUSIPCO 2021: 776-780 - [c5]Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen:
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. IROS 2021: 8563-8569 - [c4]Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek:
Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism. ISBI 2021: 1017-1020 - [c3]Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen:
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. ROBIO 2021: 1123-1128 - [i8]Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek:
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. CoRR abs/2102.01445 (2021) - [i7]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR abs/2104.13243 (2021) - [i6]Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen:
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. CoRR abs/2105.13204 (2021) - [i5]Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen:
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. CoRR abs/2107.05617 (2021) - [i4]Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen:
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. CoRR abs/2108.07007 (2021) - [i3]Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. CoRR abs/2112.00735 (2021) - 2020
- [c2]Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen:
Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. ACCV (5) 2020: 617-634 - [i2]Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen:
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. CoRR abs/2010.00127 (2020)
2010 – 2019
- 2019
- [c1]M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. BMVC 2019: 287 - [i1]M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. CoRR abs/1908.00274 (2019)
Coauthor Index
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last updated on 2024-10-22 21:17 CEST by the dblp team
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