Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gregory Patrick Veldhuizen"'
Autor:
Subarnarekha Chatterji, Jan Moritz Niehues, Marko van Treeck, Chiara Maria Lavinia Loeffler, Oliver Lester Saldanha, Gregory Patrick Veldhuizen, Didem Cifci, Zunamys Itzell Carrero, Rasha Abu-Eid, Valerie Speirs, Jakob Nikolas Kather
Publikováno v:
npj Breast Cancer, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract Breast cancer prognosis and management for both men and women are reliant upon estrogen receptor alpha (ERα) and progesterone receptor (PR) expression to inform therapy. Previous studies have shown that there are sex-specific binding charac
Externí odkaz:
https://doaj.org/article/bdd8711bc54a4bd2b2acb26413598361
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Autor:
Oliver Lester Saldanha, Chiara M. L. Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P. Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T. Pearson, Jakob Nikolas Kather
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-5 (2023)
Abstract The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep learning can predict genetic alterations from pathology slides, but it is unclear how well these predictions generalize to external datasets. We performed
Externí odkaz:
https://doaj.org/article/4f10e94592cb43cab9a2a2ce9a50b0d9
Autor:
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman D. Buelow, Rupert Langer, Bastian Dislich, Peter Boor, Volkmar Schulz, Jakob Nikolas Kather
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Artificial Intelligence can support diagnostic workflows in oncology, but they are vulnerable to adversarial attacks. Here, the authors show that convolutional neural networks are highly susceptible to white- and black-box adversarial attacks in clin
Externí odkaz:
https://doaj.org/article/f6580ad98aea4da49e7134c3816a8c59
Autor:
Oliver Lester Saldanha, Chiara M. L. Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P. Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T. Pearson, Jakob Nikolas Kather
The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep learning can predict genetic alterations from tissue morphology, but it is unclear how well these predictions generalize to external datasets. Here, we present a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d5e69de2befd9c1c7a037c4e7803937
https://doi.org/10.1101/2022.09.15.507455
https://doi.org/10.1101/2022.09.15.507455
