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Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
Increasing the resolution of solar and wind time series for energy system modeling: A review2023 Renewable and Sustainable Energy Reviews article Computer Science Solar Radiation and Photovoltaics Open access
Olalekan Omoyele, Maximilian Hoffmann, Matti Koivisto, Miguel Larrañeta, Jann Michael Weinand, Jochen Linßen, +1 more
61citations -
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging2024 Communications Medicine article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Katharina Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, +3 more
52citations -
Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv22025 Scientific Reports article Computer Science AI in cancer detection Open access cited by 1 patent
Gustav Anton Müller‐Franzes, Firas Khader, Robert Malte Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung, +1 more
39citations