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Fabian Hörst
Fabian Hörst
Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany
Verified email at uk-essen.de
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Cited by
Year
Cellvit: Vision transformers for precise cell segmentation and classification
F Hörst, M Rempe, L Heine, C Seibold, J Keyl, G Baldini, S Ugurel, ...
Medical Image Analysis 94, 103143, 2024
832024
MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision
J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ...
Biomedical Engineering/Biomedizinische Technik, 2024
262024
Histology-based prediction of therapy response to neoadjuvant chemotherapy for esophageal and esophagogastric junction adenocarcinomas using deep learning
F Hörst, S Ting, ST Liffers, KL Pomykala, K Steiger, M Albertsmeier, ...
JCO Clinical Cancer Informatics 7, e2300038, 2023
82023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology
O Ester, F Hörst, C Seibold, J Keyl, S Ting, N Vasileiadis, J Schmitz, ...
Computerized Medical Imaging and Graphics 107, 102238, 2023
62023
Early versus late response to PD-1-based immunotherapy in metastatic melanoma
GC Lodde, F Zhao, R Herbst, P Terheyden, J Utikal, C Pföhler, J Ulrich, ...
European Journal of Cancer 210, 114295, 2024
12024
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline
F Hörst, SH Schaheer, G Baldini, FH Bahnsen, J Egger, J Kleesiek
BVM Workshop, 356-361, 2024
12024
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
F Hörst, M Rempe, H Becker, L Heine, J Keyl, J Kleesiek
arXiv preprint arXiv:2501.05269, 2025
2025
De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
M Rempe, L Heine, C Seibold, F Hörst, J Kleesiek
arXiv preprint arXiv:2410.12402, 2024
2024
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
L Heine, F Hörst, J Fragemann, G Luijten, M Balzer, J Egger, F Bahnsen, ...
arXiv preprint arXiv:2409.16793, 2024
2024
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
H Kalisch, F Hörst, K Herrmann, J Kleesiek, C Seibold
arXiv preprint arXiv:2409.12155, 2024
2024
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images
J Raufeisen, K Xie, F Hörst, T Braunschweig, J Li, J Kleesiek, R Röhrig, ...
Computer Methods and Programs in Biomedicine 252, 108215, 2024
2024
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
M Rempe, F Hörst, C Seibold, B Hadaschik, M Schlimbach, J Egger, ...
arXiv preprint arXiv:2407.06165, 2024
2024
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting
L Heine, F Hörst, E Nasca, J Siveke, J Egger, M Kim, FH Bahnsen, ...
2024
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