Institut polytechnique de Grenoble

Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis

Benjamin Lambert, Florence Forbes, Senan Doyle et al.

2024 · 149 Zit.

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Rémy Kusters, Dusan Misevic, Hugues Berry et al.

2020 · 111 Zit.

Prevalence of nonsensical algorithmically generated papers in the scientific literature

Guillaume Cabanac, Cyril Labbé

2021 · 77 Zit.

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy

Markus Gräf, Johannes Knitza, Jan Leipe et al.

2022 · 60 Zit.

Privacy-preserving and bandwidth-efficient federated learning

Raouf Kerkouche, Gergely Ács, Claude Castelluccia et al.

2021 · 42 Zit.

Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge

Younes Belkouchi, Mathieu Léderlin, Amira Ben Afia et al.

2023 · 16 Zit.

Deep Learning : Je t'aime moi non plus..

Jean-Luc Parouty

2019 · 0 Zit.

Collective Reflection on Conversational Generative AI for (Model-Based) Systems Engineering: Insights from the INCOSE French Chapter

Emilie Perreau, Romain Pinquié, Rémy Drouin et al.

2025 · 0 Zit.

Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems

Antonello Calabrò, Said Daoudagh, Eda Marchetti et al.

2024 · 0 Zit.