| A model-based reinforcement learning approach for a rare disease diagnostic task R Besson, EL Pennec, S Allassonniere, J Stirnemann, E Spaggiari, ... arXiv preprint arXiv:1811.10112, 2018 | 10 | 2018 |
| Learning from both experts and data R Besson, E Le Pennec, S Allassonnière Entropy 21 (12), 1208, 2019 | 3 | 2019 |
| Decision making strategy for antenatal echographic screening of foetal abnormalities using statistical learning R Besson Université Paris-Saclay (ComUE), 2019 | 2 | 2019 |
| Optimisation des parcours patients pour lutter contre l'errance de diagnostic des patients atteints de maladies rares F Logé, R Besson, S Allassonnière arXiv preprint arXiv:2010.14167, 2020 | 1 | 2020 |
| OC05. 04: Clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination J Stirnemann, R Besson, E Spaggiari, S Rojo, F Loge, ... Ultrasound in Obstetrics & Gynecology 60, 14-15, 2022 | | 2022 |
| VP17. 02: Description and clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination J Stirnemann, R Besson, E Spaggiari, N Bourgon, S Rojo, F Loge, ... Ultrasound in Obstetrics & Gynecology 58, 169-170, 2021 | | 2021 |
| Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system S Allassonniere, R Besson, E Le Pennec US Patent App. 16/692,137, 2021 | | 2021 |
| Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination JJ Stirnemann, R Besson, E Spaggiari, S Rojo, F Loge, ... medRxiv, 2021.05. 25.21257630, 2021 | | 2021 |
| Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. R Besson, E Le Pennec, E Spaggiari, A Neuraz, J Stirnemann, ... ICAART (2), 475-482, 2020 | | 2020 |
| OPTIMISATION D’ARBRE DE DÉCISION POUR UN PROBLÈME DE DÉTECTION PRÉCOCE D’ANOMALIES FOETALES. R Besson, E Le Pennec, S Allassonnière | | |
| Decision trees optimization for ultrasound detection of fetal abnormalities. R Besson, E Le Pennec, S Allassonnière | | |
