Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Christoph Wies"'
Autor:
Lukas Heinlein, Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank F. Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melano
Externí odkaz:
https://doaj.org/article/b94e12d429514a5caf386ed1f4f44417
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/74ebb4d7767242d3b0fe8cf09ff46760
Publikováno v:
JID Innovations, Vol 4, Iss 6, Pp 100303- (2024)
Early cutaneous squamous cell carcinoma (cSCC) diagnosis is essential to initiate adequate targeted treatment. Noninvasive diagnostic technologies could overcome the need of multiple biopsies and reduce tumor recurrence. To assess performance of noni
Externí odkaz:
https://doaj.org/article/f9ec33c803664609a30429570e6af737
Autor:
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, İrem Özdemir, Raymond L. Barnhill, Mar Llamas-Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Reader Study Consortium, Titus J. Brinker
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet oft
Externí odkaz:
https://doaj.org/article/a7c398cf0b3b4b35ad5fc17b7f22b907
Autor:
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, Lennard Kiehl, Martin J. Hetz, Tabea-Clara Bucher, Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, Emilian Jungwirth, Timo Gaiser, Matthias Steeg, Tim Holland-Letz, Hermann Brenner, Michael Hoffmeister, Titus J. Brinker
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-12 (2023)
Abstract Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction. Survival curves might contai
Externí odkaz:
https://doaj.org/article/e094c1a7b01c4b7bb8979efab082563b
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Random Forests are a powerful and frequently applied Machine Learning tool. The permutation variable importance (VIMP) has been proposed to improve the explainability of such a pure prediction model. It describes the expected increase in pre
Externí odkaz:
https://doaj.org/article/ca698fd2990b42069dba81ae97b1a9ca
Autor:
Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V Heppt, Gerardo Ferrara, Eva I Krieghoff-Henning, Titus J Brinker
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0297146 (2024)
Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in addition to hematoxylin and eosin (H&E)-stained slides to improve their accuracy in diagnosing melanomas. The use of diagnostic Deep Learning (DL)-based supp
Externí odkaz:
https://doaj.org/article/19c744d64be04b8a802cc39bdcc04c0c
Autor:
Lucas Schneider, Christoph Wies, Eva I. Krieghoff-Henning, Tabea-Clara Bucher, Jochen S. Utikal, Dirk Schadendorf, Titus J. Brinker
Publikováno v:
European Journal of Cancer. 183:131-138
Background: In machine learning, multimodal classifiers can provide more generalised performance than unimodal classifiers. In clinical practice, physicians usually also rely on a range of information from different examinations for diagnosis. In thi
Autor:
Wiebke Sondermann, Christoph Wies, Stefan Esser, Jochen S. Utikal, Dirk Schadendorf, Titus J. Brinker
Publikováno v:
Dtsch Arztebl Int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91477bd207172430e19e705d81cfcb90
https://europepmc.org/articles/PMC10114138/
https://europepmc.org/articles/PMC10114138/
Autor:
Wies, Christoph1,2 (AUTHOR), Schneider, Lucas1 (AUTHOR), Haggenmüller, Sarah1 (AUTHOR), Bucher, Tabea-Clara1 (AUTHOR), Hobelsberger, Sarah3 (AUTHOR), Heppt, Markus V.4 (AUTHOR), Ferrara, Gerardo5 (AUTHOR), Krieghoff-Henning, Eva I.1 (AUTHOR), Brinker, Titus J.1 (AUTHOR) titus.brinker@dkfz.de
Publikováno v:
PLoS ONE. 1/19/2024, Vol. 19 Issue 1, p1-13. 13p.