Hörst, Fabian

1. CellViT: Vision Transformers for Precise Cell Segmentation and Classification
   2023/06/27 by Fabian Hörst, Hörst, Fabian, Moritz Rempe +19 · 28 citations
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
2. MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
   2023/08/30 by Li, Jianning, Zhou, Zongwei, Yang, Jiancheng +154 · 6 citations
   #68T01 #Computer Vision and Pattern Recognition (cs.CV) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
   2025/01/09 by Hörst, Fabian, Rempe, Moritz, Becker, Helmut +3 · 7 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
   2024/10/16 by Moritz Rempe, Rempe, Moritz, Lukas Heine +7 · 2 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Privacy-Preserving Technologies in Data #electronic engineering #information engineering
5. Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
   2024/09/18 by Hamza Kalisch, Kalisch, Hamza, Fabian Hörst +7 · 2 citations
   Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering