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Lukas Heine
Lukas Heine
Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany
Verified email at uk-essen.de
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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
852024
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
272024
A Comparison of Cloud Storage Technologies as Sources of Digital Evidence
R Büter, G Engst, K Esser, F Freiling, K Friedrich, T Friedrich, A Hammer, ...
22022
Anatomy-guided Pathology Segmentation
A Jaus, C Seibold, S Reiß, L Heine, A Schily, M Kim, FH Bahnsen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2024
12024
Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
C Seibold, H Kalisch, L Heine, S Reiß, J Kleesiek
arXiv preprint arXiv:2501.12022, 2025
2025
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
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
Department Informatik
R Büter, G Engst, K Esser, F Freiling, K Friedrich, T Friedrich, A Hammer, ...
2022
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