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Silvan Mertes

Showing results (1-10 of 5) with videos related to

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Frontiers in Artificial Intelligence|April 25, 2022
GANterfactual-Counterfactual Explanations for Medical Non-experts Using Generative Adversarial LearningSilvan Mertes, Tobias Huber, Katharina Weitz, et al.
Studies in Health Technology and Informatics|May 19, 2023
Towards Automated COVID-19 Presence and Severity ClassificationDominik Mueller, Silvan Mertes, Niklas Schroeter, et al.
Psychotherapie, Psychosomatik, Medizinische Psychologie|February 27, 2026
[AI Technologies for Diagnostics and Conversation Analysis in Psychotherapy: Opportunities and Challenges]Elisabeth André, Steffen Eberhardt, Tobias Hallmen, et al.
European Journal of Human Genetics : EJHG|January 15, 2025
GestaltGAN: synthetic photorealistic portraits of individuals with rare genetic disordersAron Kirchhoff, Alexander Hustinx, Behnam Javanmardi, et al.
Medical Image Analysis|June 14, 2024
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private dataLuuk H Boulogne, Julian Lorenz, Daniel Kienzle, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|April 25, 2022
GANterfactual-Counterfactual Explanations for Medical Non-experts Using Generative Adversarial LearningSilvan Mertes, Tobias Huber, Katharina Weitz, et al.
Studies in Health Technology and Informatics|May 19, 2023
Towards Automated COVID-19 Presence and Severity ClassificationDominik Mueller, Silvan Mertes, Niklas Schroeter, et al.
Psychotherapie, Psychosomatik, Medizinische Psychologie|February 27, 2026
[AI Technologies for Diagnostics and Conversation Analysis in Psychotherapy: Opportunities and Challenges]Elisabeth André, Steffen Eberhardt, Tobias Hallmen, et al.
European Journal of Human Genetics : EJHG|January 15, 2025
GestaltGAN: synthetic photorealistic portraits of individuals with rare genetic disordersAron Kirchhoff, Alexander Hustinx, Behnam Javanmardi, et al.
Medical Image Analysis|June 14, 2024
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private dataLuuk H Boulogne, Julian Lorenz, Daniel Kienzle, et al.
Pageof 1