Items where authors include "Boor, P"

Article

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

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

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

Selby, NM, Blankestijn, PJ, Boor, P et al. (31 more authors) (2018) Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA. Nephrology Dialysis Transplantation, 33 (2). ii4-ii14. ISSN 0931-0509