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Michael Vieth
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2020 – today
- 2022
- [j1]Rocío del Amor, Pablo Meseguer, Tommaso Lorenzo Parigi, Vincenzo Villanacci, Adrián Colomer, Laëtitia Launet, Alina Bazarova, Gian Eugenio Tontini, Raf Bisschops, Gert de Hertogh, Jose G. Ferraz, Martin Götz, Xianyong Gui, Bu'Hussain Hayee, Mark Lazarev, Remo Panaccione, Adolfo Parra-Blanco, Pradeep Bhandari, Luca Pastorelli, Timo Rath, Elin Synnøve Røyset, Michael Vieth, Davide Zardo, Enrico Grisan, Subrata Ghosh, Marietta Iacucci, Valery Naranjo:
Constrained multiple instance learning for ulcerative colitis prediction using histological images. Comput. Methods Programs Biomed. 224: 107012 (2022) - 2021
- [i1]John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi:
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. CoRR abs/2109.07892 (2021)
2010 – 2019
- 2019
- [c1]Pranita Pradhan, Tobias Meyer, Michael Vieth, Andreas Stallmach, Maximilian Waldner, Michael Schmitt, Jürgen Popp, Thomas Bocklitz:
Semantic Segmentation of Non-linear Multimodal Images for Disease Grading of Inflammatory Bowel Disease: A SegNet-based Application. ICPRAM 2019: 396-405
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last updated on 2024-04-25 05:59 CEST by the dblp team
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