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Heike Irmgard Grabsch
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2020 – today
- 2023
- [i1]Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman
, Tanwei Yuan, Rupert Langer
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - 2022
- [j2]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j1]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022) - [c1]Joe Sims, Heike Irmgard Grabsch, Derek R. Magee:
Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification. ISGIE/GRAIL@MICCAI 2022: 99-107
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last updated on 2024-10-07 21:20 CEST by the dblp team
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