HES-SO Valais-Wallis

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 376 Zit.

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows

Himanshu Verma, Jakub Mlynář, Roger Schaer et al.

2023 · 38 Zit.

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

Daniel Abler, Roger Schaer, Valentin Oreiller et al.

2023 · 11 Zit.

Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study

Jakub Mlynář, Adrien Depeursinge, John O. Prior et al.

2024 · 7 Zit.

Large language model-based information extraction from free-text radiology reports: a scoping review protocol

Daniel Reichenpfader, Henning Müller, Kerstin Denecke

2023 · 5 Zit.

On Improving Physicians’ Trust in AI: Qualitative Inquiry with Imaging Experts in the Oncological Domain

Himanshu Verma, Roger Schaer, Julien Reichenbach et al.

2021 · 5 Zit.

Stakeholder-centered Design of Explainable AI for MRI analysis in Multiple Sclerosis: Generative insights toward clinical integration

Margherita Motta, Wen Zhan, Nataliia Molchanova et al.

2026 · 0 Zit.

Interpretable AI for medical image analysis: methods, evaluation, and clinical considerations

Tiago Gonçalves, Anna Hedström, Aurélie Pahud de Mortanges et al.

2025 · 0 Zit.

Stakeholder-centered Design of Explainable AI for MRI analysis in Multiple Sclerosis: Generative insights toward clinical integration

Margherita Motta, Wen Zhan, Nataliia Molchanova et al.

2026 · 0 Zit.

Beyond Technical Transparency: Explainability as a Safeguard Against Manipulative AI*

Ermanno Petrocchi, Simona Tiribelli, Berk Buzcu et al.

2025 · 0 Zit.