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 · 542 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 · 391 Zit.

Metrics reloaded: recommendations for image analysis validation

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

2024 · 338 Zit.

Understanding metric-related pitfalls in image analysis validation

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

2024 · 154 Zit.

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

Tom Boeken, Jean Feydy, Augustin Lecler et al.

2022 · 132 Zit.

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Rémy Kusters, Dusan Misevic, Hugues Berry et al.

2020 · 111 Zit.

Preventing dataset shift from breaking machine-learning biomarkers

Jérôme Dockès, Gaël Varoquaux, Jean‐Baptiste Poline

2021 · 87 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 · 62 Zit.

Accessible Cultural Heritage through Explainable Artificial Intelligence

Natalia Díaz-Rodríguez, Galena Pisoni

2020 · 52 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 · 37 Zit.

Ethics in Robotics Research: CERNA Mission and Context

Alexei Grinbaum, Raja Chatila, Laurence Devillers et al.

2017 · 30 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.

Role of ChatGPT in Vietnamese Education

Hana Trương, Phong Nguyễn, Linh Cao et al.

2023 · 21 Zit.

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.

2025 · 16 Zit.

Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities

Guillaume Assié, Stéphanie Allassonnière

2024 · 13 Zit.