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J Brinker

Showing results (131-140 of 167) with videos related to

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World Journal of Urology|June 29, 2023
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinomaFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
The Lancet. Digital Health|December 20, 2023
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre studyXiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, et al.
The Journal of Pathology|September 25, 2021
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathologyPeter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, et al.
Journal of Medical Internet Research|September 11, 2020
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey StudyRoman C Maron, Jochen S Utikal, Achim Hekler, et al.
Circulation|November 17, 1998
Evaluation of a weight-adjusted single-bolus plasminogen activator in patients with myocardial infarction: a double-blind, randomized angiographic trial of lanoteplase versus alteplaseP den Heijer, F Vermeer, E Ambrosioni, et al.
Cell Reports. Medicine|March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric studyJan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
European Journal of Cancer (Oxford, England : 1990)|January 1, 2025
Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slidesFrederik Marmé, Eva I Krieghoff-Henning, Lennard Kiehl, et al.
European Journal of Cancer (Oxford, England : 1990)|October 27, 2023
Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological imagesFrederik Marmé, Eva Krieghoff-Henning, Bernd Gerber, et al.
Nature Communications|May 21, 2025
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking studyTirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher, et al.
Pageof 17

Showing results (131-140 of 167) with videos related to

Sort By:
Pageof 17
World Journal of Urology|June 29, 2023
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinomaFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
The Lancet. Digital Health|December 20, 2023
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre studyXiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, et al.
The Journal of Pathology|September 25, 2021
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathologyPeter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, et al.
Journal of Medical Internet Research|September 11, 2020
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey StudyRoman C Maron, Jochen S Utikal, Achim Hekler, et al.
Circulation|November 17, 1998
Evaluation of a weight-adjusted single-bolus plasminogen activator in patients with myocardial infarction: a double-blind, randomized angiographic trial of lanoteplase versus alteplaseP den Heijer, F Vermeer, E Ambrosioni, et al.
Cell Reports. Medicine|March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric studyJan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
European Journal of Cancer (Oxford, England : 1990)|January 1, 2025
Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slidesFrederik Marmé, Eva I Krieghoff-Henning, Lennard Kiehl, et al.
European Journal of Cancer (Oxford, England : 1990)|October 27, 2023
Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological imagesFrederik Marmé, Eva Krieghoff-Henning, Bernd Gerber, et al.
Nature Communications|May 21, 2025
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking studyTirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher, et al.
Pageof 17