Fabian Hörst - RankMe

19 papers Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models. Comput. Methods Programs Biomed. Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek
2026	J	`jnl`	Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space. CoRR Moritz Rempe, Lukas T. Rotkopf, Marco Schlimbach, Helmut Becker, Fabian Hörst, Johannes Haubold, Philipp Dammann, Kevin Kröninger, 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`	CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models. CoRR Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek
2025	J	`jnl`	Cracking the PUMA Challenge in 24 Hours with CellViT++ and nnU-Net. CoRR Negar Shahamiri, Moritz Rempe, Lukas Heine, Jens Kleesiek, Fabian Hörst
2025	J	`jnl`	PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation. CoRR Moritz Rempe, Fabian Hörst, Helmut Becker, Marco Schlimbach, Lukas T. Rotkopf, Kevin Kröninger, Jens Kleesiek
2024	—	`conf`	Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, 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`	Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Comput. Methods Programs Biomed. Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
2024	J	`jnl`	Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
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`	Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS Lukas Heine, Fabian Hörst, Enrico Nasca, Jens T. Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek
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	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`	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	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
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