Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Gregory Patrick"'
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
Publikováno v:
Frontiers in Built Environment, Vol 5 (2019)
After a seismic event, it is imperative that critical structural members that are damaged within a building are identified and analyzed as soon as possible to ensure proper remedial measures can be taken. Failure to detect damage or correctly analyze
Externí odkaz:
https://doaj.org/article/093fafe2e1fd40caba1571692751cb24
Autor:
Wagner, Sophia J., Reisenbüchler, Daniel, West, Nicholas P., Niehues, Jan Moritz, Veldhuizen, Gregory Patrick, Quirke, Philip, Grabsch, Heike I., Brandt, Piet A. van den, Hutchins, Gordon G. A., Richman, Susan D., Yuan, Tanwei, Langer, Rupert, Jenniskens, Josien Christina Anna, Offermans, Kelly, Mueller, Wolfram, Gray, Richard, Gruber, Stephen B., Greenson, Joel K., Rennert, Gad, Bonner, Joseph D., Schmolze, Daniel, James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Hoffmeister, Michael, Truhn, Daniel, Schnabel, Julia A., Boxberg, Melanie, Peng, Tingying, Kather, Jakob Nikolas
Background: Deep learning (DL) can extract predictive and prognostic biomarkers from routine pathology slides in colorectal cancer. For example, a DL test for the diagnosis of microsatellite instability (MSI) in CRC has been approved in 2022. Current
Externí odkaz:
http://arxiv.org/abs/2301.09617
Autor:
German, Jashalynn a, Yang, Qing b, Hatch, Daniel b, Lewinski, Allison b, c, Bosworth, Hayden B. d, e, Kaufman, Brystana G. c, e, f, Chatterjee, Ranee g, Pennington, Gina b, Matters, Doreen b, Lee, Donghwan b, Urlichich, Diana b, Kokosa, Sarah h, Canupp, Holly h, Gregory, Patrick h, Roberson, Cindy Leslie h, Smith, Benjamin h, Huber, Sherry i, Doukellis, Katheryn i, Deal, Tammi g, Burns, Rose i, Crowley, Matthew J. a, c, 1, Shaw, Ryan J. b, ⁎, 1
Publikováno v:
In Contemporary Clinical Trials November 2024 146
Autor:
Hayes, Micaela ∗, Gregory, Patrick, Smith, Benjamin, Champagne, Brittney, Patel, Amit, Alvarado, Holly, Roberson, Cindy, Yang, Chengxin, Lee, Hui-Jie, Erkanli, Alaattin
Publikováno v:
In Journal of the American Pharmacists Association July-August 2024 64(4) Supplement
Autor:
Church, David, Domingo, Enric, Edwards, Joanne, Glimelius, Bengt, Gogenur, Ismail, Harkin, Andrea, Hay, Jen, Iveson, Timothy, Jaeger, Emma, Kelly, Caroline, Kerr, Rachel, Maka, Noori, Morgan, Hannah, Oien, Karin, Orange, Clare, Palles, Claire, Roxburgh, Campbell, Sansom, Owen, Saunders, Mark, Tomlinson, Ian, Wagner, Sophia J. 1, 2, 3, Reisenbüchler, Daniel 1, West, Nicholas P. 4, Niehues, Jan Moritz 3, Zhu, Jiefu 3, Foersch, Sebastian 4, Veldhuizen, Gregory Patrick 3, Quirke, Philip 5, Grabsch, Heike I. 5, 6, van den Brandt, Piet A. 7, Hutchins, Gordon G.A. 5, Richman, Susan D. 5, Yuan, Tanwei 8, Langer, Rupert 9, Jenniskens, Josien C.A. 7, Offermans, Kelly 7, Mueller, Wolfram 10, Gray, Richard 11, Gruber, Stephen B. 12, Greenson, Joel K. 13, Rennert, Gad 14, 15, Bonner, Joseph D. 14, Schmolze, Daniel 12, Jonnagaddala, Jitendra 16, Hawkins, Nicholas J. 17, Ward, Robyn L. 17, 18, Morton, Dion 19, Seymour, Matthew 20, Magill, Laura 21, Nowak, Marta 22, Hay, Jennifer 23, Koelzer, Viktor H. 22, 24, 25, Church, David N. 25, 26, Matek, Christian 1, 27, 28, Geppert, Carol 27, 28, Peng, Chaolong 29, Zhi, Cheng 30, Ouyang, Xiaoming 30, James, Jacqueline A. 31, 32, 33, Loughrey, Maurice B. 33, 34, 35, Salto-Tellez, Manuel 31, 32, 36, Brenner, Hermann 8, 37, 38, Hoffmeister, Michael 8, Truhn, Daniel 39, Schnabel, Julia A. 1, 2, 40, Boxberg, Melanie 41, 42, Peng, Tingying 1, 44, ∗, Kather, Jakob Nikolas 3, 5, 43, 44, 45, ∗∗
Publikováno v:
In Cancer Cell 11 September 2023 41(9):1650-1661
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