| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... Nature communications 12 (1), 1-11, 2021 | 159 | 2021 |
| Diagnosis of focal liver lesions from ultrasound using deep learning B Schmauch, P Herent, P Jehanno, O Dehaene, C Saillard, C Aubé, ... Diagnostic and interventional imaging 100 (4), 227-233, 2019 | 123 | 2019 |
| Detection and characterization of MRI breast lesions using deep learning P Herent, B Schmauch, P Jehanno, O Dehaene, C Saillard, C Balleyguier, ... Diagnostic and interventional imaging 100 (4), 219-225, 2019 | 110 | 2019 |
| Using stylegan for visual interpretability of deep learning models on medical images K Schutte, O Moindrot, P Hérent, JB Schiratti, S Jégou arXiv preprint arXiv:2101.07563, 2021 | 52 | 2021 |
| Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment P Blanc-Durand, JB Schiratti, K Schutte, P Jehanno, P Herent, F Pigneur, ... Diagnostic and Interventional Imaging 101 (12), 789-794, 2020 | 38 | 2020 |
| A deep learning method for predicting knee osteoarthritis radiographic progression from MRI JB Schiratti, R Dubois, P Herent, D Cahané, J Dachary, T Clozel, ... Arthritis Research & Therapy 23, 1-10, 2021 | 33 | 2021 |
| The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents E Salvia, C Tissier, S Charron, P Herent, J Vidal, S Lion, M Cassotti, ... Developmental Cognitive Neuroscience 38, 100664, 2019 | 16 | 2019 |
| Brain age prediction of healthy subjects on anatomic MRI with deep learning: Going beyond with an “explainable AI” mindset P Herent, S Jegou, G Wainrib, T Clozel BioRxiv, 413302, 2018 | 11 | 2018 |
| AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... medRxiv, 2020.05. 14.20101972, 2020 | 9 | 2020 |
| Exploitation des données pour la recherche et l’intelligence artificielle: enjeux médicaux, éthiques, juridiques, techniques K Seymour, N Benyahia, P Hérent, C Malhaire Imagerie de la Femme 29 (2), 62-71, 2019 | 8 | 2019 |
| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. Nat Commun. 2021; 12: 634 N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... | 8 | |
| Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... MedRxiv, 2020 | 3 | 2020 |
| Using StyleGAN for visual interpretability of deep learning models on medical images. 2021 K Schutte, O Moindrot, P Hérent, JB Schiratti, S Jégou ArXiv210107563 Cs Eess, 0 | 2 | |
| Intelligence artificielle et imagerie médicale en 2018: livre blanc de la communauté française de radiologie G d’Assignies, L Fournier, H Vernhet-Kovacsik, M Edjlali, L Boussel, ... Paris: Société française de radiologie, Collège des enseignant en radiologie …, 2018 | 1 | 2018 |
| Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI H Caselles-Dupré, C Mellerio, P Hérent, A Lopez-Persem, B Béranger, ... arXiv preprint arXiv:2404.05468, 2024 | | 2024 |
| A Deep Learning Method for Identifying Predictors of Knee Osteoarthritis Radiographic Progression From Baseline MRI JB Schiratti, R Dubois, P Herent, D Cahané, J Dachary, T Clozel, ... | | 2021 |
| The regional homogeneity (reho) of resting-state fMRI signal, a biomarker of the receptivity to inhibitory contral training? E Salvia, P Herent, C Tissier, S Charron, C Oppenheim, S Lion, O Houdé, ... The Fifth International Congress for Integrative Developmental Cognitive …, 2017 | | 2017 |
Jean-Baptiste SCHIRATTIOwkinAdresse e-mail validée de owkin.com
