Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning A Hayashi, D., Kompel, A. J., Ventre, J., Ducarouge, A., Nguyen, T., Regnard ... Skeletal Radiology, 2022 | 26 | 2022 |
Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays NE Regnard, B Lanseur, J Ventre, A Ducarouge, L Clovis, L Lassalle, ... European journal of radiology 154, 110447, 2022 | 14 | 2022 |
High performance for bone age estimation with an artificial intelligence solution T Nguyen, AL Hermann, J Ventre, A Ducarouge, A Pourchot, V Marty, ... Diagnostic and Interventional Imaging 104 (7-8), 330-336, 2023 | 9 | 2023 |
Using AI to improve Radiologist performance in detection of abnormalities on chest Radiographs S Bennani, NE Regnard, J Ventre, L Lassalle, T Nguyen, A Ducarouge, ... Radiology 309 (3), e230860, 2023 | 7 | 2023 |
Parameter estimation to study the immediate impact of aortic cross‐clamping using reduced order models J Ventre, MT Politi, JM Fernández, AR Ghigo, J Gaudric, SA Wray, ... International Journal for Numerical Methods in Biomedical Engineering, 2019 | 7 | 2019 |
Reduced-order models for blood pressure drop across arterial stenoses J Ventre, F Raimondi, N Boddaert, JM Fullana, PY Lagrée Computer Methods, Imaging and Visualization in Biomechanics and Biomedical …, 2020 | 5 | 2020 |
Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation G Chassagnon, N Billet, C Rutten, T Toussaint, Q Cassius de Linval, ... European Radiology 33 (11), 8241-8250, 2023 | 4 | 2023 |
Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth T Jacques, N Cardot, J Ventre, X Demondion, A Cotten European Radiology 34 (5), 2885-2894, 2024 | 3 | 2024 |
Reduced-order models for blood flow in the large arteries: applications to cardiovascular pathologies J Ventre Sorbonne Université, 2020 | 1 | 2020 |
Effects of cross-clamping on vascular mechanics: Comparing waveform analysis with a numerical model MT Politi, J Ventre, JM Fernández, A Ghigo, J Gaudric, R Armentano, ... journal of surgical research 244, 587-598, 2019 | 1 | 2019 |
Automated weight-bearing foot measurements using an artificial intelligence–based software L Lassalle, N Regnard, J Ventre, V Marty, L Clovis, Z Zhang, N Nitche, ... Skeletal Radiology, 1-13, 2024 | | 2024 |
Erratum for: Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs S Bennani, NE Regnard, J Ventre, L Lassalle, T Nguyen, A Ducarouge, ... Radiology 311 (1), e249015, 2024 | | 2024 |
Modèles d’ordre réduit du flux sanguin: application aux sténoses artérielles J VENTRE, JM FULLANA, PY LAGRÉE, F RAIMONDI, N BODDAERT Écoulements biologiques dans les grands vaisseaux: Dialogue entre …, 2023 | | 2023 |
Reduced‐order Models of Blood Flow: Application to Arterial Stenoses J Ventre, JM Fullana, PY Lagrée, F Raimondi, N Boddaert Biological Flow in Large Vessels: Dialog Between Numerical Modeling and In …, 2022 | | 2022 |
Distribution of Flow in an Arteriovenous Fistula Using Reduced-Order Models J Ventre, S Abou Taam, JM Fullana, PY Lagrée Journal of Biomechanical Engineering 143 (10), 101010, 2021 | | 2021 |
Retinal micro-vascular network: data and model L Julien, J Ventre, PY Lagrée, A Ramkhelawon, F Rossant, M Atlan, ... Computer Methods in Biomechanics and Biomedical Engineering 23 (sup1), S151-S152, 2020 | | 2020 |
Modèles réduits d’écoulement sanguin dans les grandes artères: applications aux pathologies cardiovasculaires J Ventre Sorbonne université, 2020 | | 2020 |
Reduced models for computing pressure drop across stenosis J Ventre, JM Fullana, PY Lagrée, F Raimondi, N Boddaert Computer Methods in Biomechanics and Biomedical Engineering 22 (sup1), S119-S120, 2019 | | 2019 |
Effects of atherosclerosis disease diseases at carotid artery on pressure wave propagation F Iwase, H Shimizu, N Itai, J Ventre, PY Lagree, M Matsukawa IEICE Technical Report; IEICE Tech. Rep. 118 (409), 39-44, 2019 | | 2019 |