Centre Hospitalier Régional Universitaire de Brest

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor et al.

2020 · 518 Zit.

Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery

Fabien Lareyre, Bahaa Nasr, Arindam Chaudhuri et al.

2023 · 34 Zit.

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons et al.

2022 · 22 Zit.

Parents' views on artificial intelligence for the daily management of childhood asthma: a survey

Cindy Abdoul, Pierrick Cros, Laurianne Coutier et al.

2020 · 20 Zit.

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network

Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin et al.

2022 · 17 Zit.

Is artificial intelligence (AI) at the doorstep of Intensive Care Units (ICU) and operating room (OR)?

Xavier Chapalain, Olivier Huet

2019 · 15 Zit.

Open E-survey on the Use and Perception of Chatbots in Vascular Surgery

Fabien Lareyre, Mario D’Oria, Caroline Caradu et al.

2024 · 11 Zit.

Can we use artificial intelligence for systematic literature review in rheumatology?

Nathan Foulquier, Bénédicte Rouvière, Alain Saraux

2020 · 10 Zit.

Large language models and artificial intelligence chatbots in vascular surgery

Fabien Lareyre, Bahaa Nasr, Elise Poggi et al.

2024 · 8 Zit.

Multi-Task, Multi-Domain Deep Segmentation with Shared Representations\n and Contrastive Regularization for Sparse Pediatric Datasets

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons et al.

2021 · 7 Zit.

The effect of radiology on climate change: Can AI help us move toward a green future?

D. Ben Salem, Philippe Soyer, Hélène Vernhet Kovaczick

2024 · 3 Zit.

Clinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma

Shamimeh Ahrari, Timothée Zaragori, Adeline Zinsz et al.

2025 · 2 Zit.

Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?

Yaëlle Bellahsen‐Harrar, Mélanie Lubrano, Charles Lépine et al.

2025 · 1 Zit.

nnU-Net for the Automatic Knee Segmentation from CT Images: A Comparative Study with a Conventional U-Net Model

Ludivine Maintier, Arnaud Clavé, Ehouarn Maguet et al.

2024 · 1 Zit.

Enquête nationale de la Société française de pathologie sur la recherche et l’utilisation de l’intelligence artificielle (IA) appliquée à la pathologie

Pierre Allaume, Raphaël Bourgade, Arnaud Uguen et al.

2024 · 1 Zit.