Items where authors include "Trautwein, C"

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Number of items: 9.

Article

Saldanha, OL, Quirke, P orcid.org/0000-0002-3597-5444, West, NP orcid.org/0000-0002-0346-6709 et al. (24 more authors) (2022) Swarm learning for decentralized artificial intelligence in cancer histopathology. Nature Medicine, 28. pp. 1232-1239. ISSN 1078-8956

West, N orcid.org/0000-0002-0346-6709, Echle, A, Laleh, NG et al. (35 more authors) (2022) Artificial intelligence for detection of microsatellite instability in colorectal cancer – a multicentric analysis of a pre-screening tool for clinical application. ESMO Open, 7 (2). ISSN 2059-7029

Schrammen, PL, Laleh, NG, Echle, A et al. (16 more authors) (2022) Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. Journal of Pathology, 256 (1). pp. 50-60. ISSN 0022-3417

Echle, A, Laleh, NG, Schrammen, PL et al. (9 more authors) (2021) Deep Learning for the detection of microsatellite instability from histology images in colorectal cancer: a systematic literature review. ImmunoInformatics, 3-4. 100008. ISSN 2667-1190

Muti, HS, Heij, LR, Keller, G et al. (32 more authors) (2021) Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. The Lancet Digital Health, 3 (10). e654-e664. ISSN 2589-7500

Krause, J, Grabsch, HI orcid.org/0000-0001-9520-6228, Kloor, M et al. (13 more authors) (2021) Deep learning detects genetic alterations in cancer histology generated by adversarial networks. The Journal of Pathology, 254 (1). pp. 70-79. ISSN 0022-3417

Echle, A, Grabsch, HI orcid.org/0000-0001-9520-6228, Quirke, P orcid.org/0000-0002-3597-5444 et al. (20 more authors) (2020) Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning. Gastroenterology, 159 (4). 1406-1416.e11. ISSN 0016-5085

Kather, JN, Heij, LR, Grabsch, H orcid.org/0000-0001-9520-6228 et al. (25 more authors) (2020) Pan-cancer image-based detection of clinically actionable genetic alterations. Nature Cancer, 1 (8). pp. 789-799. ISSN 2662-1347

Kather, JN, Pearson, AT, Halama, N et al. (14 more authors) (2019) Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nature Medicine, 25 (7). pp. 1054-1056. ISSN 1078-8956

This list was generated on Sun Mar 24 22:30:58 2024 GMT.