Institut national de recherche en sciences et technologies du numérique

Machine learning for medical imaging: methodological failures and recommendations for the future

Gaël Varoquaux, Veronika Cheplygina

2022 · 568 Zit.

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 451 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 376 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 166 Zit.

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

Tom Boeken, Jean Feydy, Augustin Lecler et al.

2022 · 136 Zit.

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Rémy Kusters, Dusan Misevic, Hugues Berry et al.

2020 · 114 Zit.

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat et al.

2021 · 100 Zit.

Preventing dataset shift from breaking machine-learning biomarkers

Jérôme Dockès, Gaël Varoquaux, Jean‐Baptiste Poline

2021 · 90 Zit.

Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know

Line Farah, Juliette Murris, Isabelle Borget et al.

2023 · 63 Zit.

Accessible Cultural Heritage through Explainable Artificial Intelligence

Natalia Díaz-Rodríguez, Galena Pisoni

2020 · 54 Zit.

Putting undergraduate medical students in AI-CDSS designers’ shoes: An innovative teaching method to develop digital health critical thinking

Rosy Tsopra, Nathan Peiffer‐Smadja, Caroline Charlier et al.

2022 · 38 Zit.

Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps

Pierre Chagué, B. Marro, Sarah Fadili et al.

2020 · 34 Zit.

Ethics in Robotics Research: CERNA Mission and Context

Alexei Grinbaum, Raja Chatila, Laurence Devillers et al.

2017 · 31 Zit.

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

Ben Van Calster, Gary S. Collins, Andrew J. Vickers et al.

2025 · 28 Zit.

Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration

Fabien Lareyre, Christian‐Alexander Behrendt, Arindam Chaudhuri et al.

2022 · 23 Zit.