Laboratoire de Traitement de l'Information Médicale
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.
2022 · 142 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.
2022 · 101 Zit.
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard et al.
2022 · 61 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.
An EANM position paper on the application of artificial intelligence in nuclear medicine
Roland Hustinx, Jan Pruim, Michael Laßmann et al.
2022 · 21 Zit.
Analysis of international publication trends in artificial intelligence in ophthalmology
Christophe Boudry, Hassan Al Hajj, Louis Arnould et al.
2022 · 21 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.
How Health Information Technologies and Artificial Intelligence May Help Rheumatologists in Routine Practice
Nathan Foulquier, Pascal Redou, Alain Saraux
2019 · 8 Zit.
Investigation of Machine and Deep Learning Techniques to Detect HPV Status
Efstathia Petrou, Konstantinos Chatzipapas, Panagiotis Papadimitroulas et al.
2024 · 7 Zit.
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons et al.
2021 · 7 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.
15 minutes pour comprendre les bases de l’intelligence artificielle
J.P. Tasu, G. Vesselle, Guillaume Herpe
2019 · 1 Zit.
MakAir, un ventilateur né de la pandémie COVID-19 conçu grâce à l’impression 3D, le numérique et l’open innovation
Pierre‐Antoine Gourraud, Mickaël Evenas, Corinne Lejus‐Bourdeau et al.
2020 · 1 Zit.
Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase <sup>*</sup>
Jean-Loup Haberbusch, Guillaume Dardenne, Emmanuel Promayon
2023 · 1 Zit.