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Christoph Wies

Showing results (11-20 of 19) with videos related to

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BJU International|February 19, 2025
Evaluating interactions of patients with large language models for medical informationNicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
NPJ Precision Oncology|September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learningJulia Höhn, Eva Krieghoff-Henning, Christoph Wies, 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)|June 22, 2026
The Smokerface poster campaign for adolescent smoking prevention in schools: A cluster-randomized controlled trialChristoph Wies, Julia Messner, Nicolas B Merl, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
Nature Communications|January 15, 2024
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomaTirtha Chanda, Katja Hauser, Sarah Hobelsberger, et al.
Nature Communications|January 17, 2025
Discordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumorsSarah Haggenmüller, Christoph Wies, Julia Abels, et al.
Nature Communications|October 8, 2025
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancerGesa Mittmann, Sara Laiouar-Pedari, Hendrik A Mehrtens, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
BJU International|February 19, 2025
Evaluating interactions of patients with large language models for medical informationNicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
NPJ Precision Oncology|September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learningJulia Höhn, Eva Krieghoff-Henning, Christoph Wies, 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)|June 22, 2026
The Smokerface poster campaign for adolescent smoking prevention in schools: A cluster-randomized controlled trialChristoph Wies, Julia Messner, Nicolas B Merl, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
Nature Communications|January 15, 2024
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomaTirtha Chanda, Katja Hauser, Sarah Hobelsberger, et al.
Nature Communications|January 17, 2025
Discordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumorsSarah Haggenmüller, Christoph Wies, Julia Abels, et al.
Nature Communications|October 8, 2025
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancerGesa Mittmann, Sara Laiouar-Pedari, Hendrik A Mehrtens, et al.
Pageof 2