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Christoph Wies

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BMC Medical Research Methodology|September 19, 2023
Exploring the variable importance in random forests under correlations: a general concept applied to donor organ quality in post-transplant survivalChristoph Wies, Robert Miltenberger, Gunter Grieser, et al.
JID Innovations : Skin Science From Molecules to Population Health|September 12, 2024
Noninvasive Technologies for the Diagnosis of Squamous Cell Carcinoma: A Systematic Review and Meta-AnalysisCarina Nogueira Garcia, Christoph Wies, Katja Hauser, et al.
European Journal of Cancer (Oxford, England : 1990)|November 18, 2025
Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer preventionNicolas B Merl, Franziska Schramm, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)|January 22, 2025
AI-generated cancer prevention influencers can target risk groups on social media at low costJana T Winterstein, Julia Abels, Arlene Kuehn, et al.
European Journal of Cancer (Oxford, England : 1990)|February 28, 2023
Multimodal integration of image, epigenetic and clinical data to predict BRAF mutation status in melanomaLucas Schneider, Christoph Wies, Eva I Krieghoff-Henning, et al.
NPJ Precision Oncology|October 24, 2024
Large language model use in clinical oncologyNicolas Carl, Franziska Schramm, Sarah Haggenmüller, et al.
Plos One|January 19, 2024
Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center studyChristoph Wies, Lucas Schneider, Sarah Haggenmüller, et al.
Tobacco Control|May 8, 2026
Tobacco control policies predict quit attempts, but household smoking predicts cessation success across 29 countriesChristoph Wies, Majd Al Ssabbagh, Varalakshmi Elango, et al.
JAMA Dermatology|March 25, 2026
Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-AnalysisSara Laiouar-Pedari, Arlene Kühn, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)|December 16, 2025
Enhancing clinicians' trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncologyNicolas Carl, Martin Joachim Hetz, Christoph Wies, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
BMC Medical Research Methodology|September 19, 2023
Exploring the variable importance in random forests under correlations: a general concept applied to donor organ quality in post-transplant survivalChristoph Wies, Robert Miltenberger, Gunter Grieser, et al.
JID Innovations : Skin Science From Molecules to Population Health|September 12, 2024
Noninvasive Technologies for the Diagnosis of Squamous Cell Carcinoma: A Systematic Review and Meta-AnalysisCarina Nogueira Garcia, Christoph Wies, Katja Hauser, et al.
European Journal of Cancer (Oxford, England : 1990)|November 18, 2025
Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer preventionNicolas B Merl, Franziska Schramm, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)|January 22, 2025
AI-generated cancer prevention influencers can target risk groups on social media at low costJana T Winterstein, Julia Abels, Arlene Kuehn, et al.
European Journal of Cancer (Oxford, England : 1990)|February 28, 2023
Multimodal integration of image, epigenetic and clinical data to predict BRAF mutation status in melanomaLucas Schneider, Christoph Wies, Eva I Krieghoff-Henning, et al.
NPJ Precision Oncology|October 24, 2024
Large language model use in clinical oncologyNicolas Carl, Franziska Schramm, Sarah Haggenmüller, et al.
Plos One|January 19, 2024
Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center studyChristoph Wies, Lucas Schneider, Sarah Haggenmüller, et al.
Tobacco Control|May 8, 2026
Tobacco control policies predict quit attempts, but household smoking predicts cessation success across 29 countriesChristoph Wies, Majd Al Ssabbagh, Varalakshmi Elango, et al.
JAMA Dermatology|March 25, 2026
Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-AnalysisSara Laiouar-Pedari, Arlene Kühn, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)|December 16, 2025
Enhancing clinicians' trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncologyNicolas Carl, Martin Joachim Hetz, Christoph Wies, et al.
Pageof 2