Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Christoph Wies"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/74ebb4d7767242d3b0fe8cf09ff46760
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:
Xuanjun Guo, Shenghong He, Xinyi Geng, Pan Yao, Christoph Wiest, Yingnan Nie, Huiling Tan, Shouyan Wang
Publikováno v:
Neurobiology of Disease, Vol 197, Iss , Pp 106519- (2024)
Neural oscillations are critical to understanding the synchronisation of neural activities and their relevance to neurological disorders. For instance, the amplitude of beta oscillations in the subthalamic nucleus has gained extensive attention, as i
Externí odkaz:
https://doaj.org/article/09acc706c1af408d951973f8893b64e8
Autor:
Alekhya Mandali, Flavie Torrecillos, Christoph Wiest, Alek Pogosyan, Shenghong He, Diogo Coutinho Soriano, Huiling Tan, Charlotte Stagg, Hayriye Cagnan
Publikováno v:
Brain Stimulation, Vol 17, Iss 2, Pp 392-394 (2024)
Externí odkaz:
https://doaj.org/article/2d55adc0639141a9a0a7a742c17acdff
Autor:
Thomas Hermans, Joren M. Snoeks, Frank vomDorp, Christoph Wiesner, Thomas Steiner, Friedrich‐Carl vonRundstedt
Publikováno v:
BJUI Compass, Vol 5, Iss 1, Pp 90-100 (2024)
Abstract Objectives Most renal tumours can be treated with a partial nephrectomy, with robot‐assisted partial nephrectomy becoming the new gold standard. This procedure is challenging to learn in a live setting, especially the enucleation and renor
Externí odkaz:
https://doaj.org/article/9f16f046e1bc46a593cb67dd6efe3480