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Yoni Schirris

Showing results (1-10 of 5) with videos related to

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Cell Reports. Medicine|December 21, 2022
HRD-related morphology discovery in breast cancer by controlling for confounding factorsYoni Schirris, Hugo Mark Horlings
Medical Image Analysis|May 21, 2022
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancerYoni Schirris, Efstratios Gavves, Iris Nederlof, et al.
Computers in Biology and Medicine|April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performanceJan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
Cell Reports. Medicine|March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric studyJan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
The Lancet. Digital Health|December 11, 2025
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancerYoni Schirris, Rosie Voorthuis, Mark Opdam, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Cell Reports. Medicine|December 21, 2022
HRD-related morphology discovery in breast cancer by controlling for confounding factorsYoni Schirris, Hugo Mark Horlings
Medical Image Analysis|May 21, 2022
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancerYoni Schirris, Efstratios Gavves, Iris Nederlof, et al.
Computers in Biology and Medicine|April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performanceJan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
Cell Reports. Medicine|March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric studyJan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
The Lancet. Digital Health|December 11, 2025
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancerYoni Schirris, Rosie Voorthuis, Mark Opdam, et al.
Pageof 1