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Max Schmitt

Showing results (1-10 of 16) with videos related to

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Journal of Medical Internet Research|March 25, 2021
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model StudyRoman C Maron, Achim Hekler, Eva Krieghoff-Henning, et al.
Journal Der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG|August 26, 2020
Overdiagnosis of melanoma - causes, consequences and solutionsHeinz Kutzner, Tanja B Jutzi, Dieter Krahl, et al.
Minerva Urology and Nephrology|March 11, 2022
Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urologyFrederik Wessels, Sara Kuntz, Eva Krieghoff-Henning, et al.
Frontiers in Medicine|July 17, 2020
Artificial Intelligence in Skin Cancer Diagnostics: The Patients' PerspectiveTanja B Jutzi, Eva I Krieghoff-Henning, Tim Holland-Letz, et al.
European Journal of Cancer (Oxford, England : 1990)|July 21, 2019
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma imagesAchim Hekler, Jochen S Utikal, Alexander H Enk, et al.
BJU International|March 11, 2021
Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancerFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
Journal of Medical Internet Research|February 2, 2021
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model StudyMax Schmitt, Roman Christoph Maron, Achim Hekler, et al.
Plos One|August 17, 2022
Deep learning can predict survival directly from histology in clear cell renal cell carcinomaFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
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.
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.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Medical Internet Research|March 25, 2021
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model StudyRoman C Maron, Achim Hekler, Eva Krieghoff-Henning, et al.
Journal Der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG|August 26, 2020
Overdiagnosis of melanoma - causes, consequences and solutionsHeinz Kutzner, Tanja B Jutzi, Dieter Krahl, et al.
Minerva Urology and Nephrology|March 11, 2022
Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urologyFrederik Wessels, Sara Kuntz, Eva Krieghoff-Henning, et al.
Frontiers in Medicine|July 17, 2020
Artificial Intelligence in Skin Cancer Diagnostics: The Patients' PerspectiveTanja B Jutzi, Eva I Krieghoff-Henning, Tim Holland-Letz, et al.
European Journal of Cancer (Oxford, England : 1990)|July 21, 2019
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma imagesAchim Hekler, Jochen S Utikal, Alexander H Enk, et al.
BJU International|March 11, 2021
Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancerFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
Journal of Medical Internet Research|February 2, 2021
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model StudyMax Schmitt, Roman Christoph Maron, Achim Hekler, et al.
Plos One|August 17, 2022
Deep learning can predict survival directly from histology in clear cell renal cell carcinomaFrederik Wessels, Max Schmitt, Eva Krieghoff-Henning, et al.
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.
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.
Pageof 2