| SurgAI: deep learning for computerized laparoscopic image understanding in gynaecology S Madad Zadeh, T Francois, L Calvet, P Chauvet, M Canis, A Bartoli, ... Surgical endoscopy 34, 5377-5383, 2020 | 70 | 2020 |
| Detecting the occluding contours of the uterus to automatise augmented laparoscopy: score, loss, dataset, evaluation and user study T François, L Calvet, S Madad Zadeh, D Saboul, S Gasparini, ... International journal of computer assisted radiology and surgery 15, 1177-1186, 2020 | 16 | 2020 |
| Image-based Incision Detection and opological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery T François, L Calvet, C Sève d'Erceville, N Bourdel, A Bartoli Medical Image Computing and Compter Assisted Intervention, 2021 | 4 | 2021 |
| SurgAI3. 8K: A Labeled Dataset of Gynecologic Organs in Laparoscopy with Application to Automatic Augmented Reality Surgical Guidance SM Zadeh, T François, A Comptour, M Canis, N Bourdel, A Bartoli Journal of Minimally Invasive Gynecology 30 (5), 397-405, 2023 | 2 | 2023 |
| Uteraug: Augmented reality in laparoscopic surgery of the uterus T François, C Debize, L Calvet, T Collins, D Pizarro, A Bartoli Démonstration présentée lors de la conférence ISMAR en octobre, 2017 | 1 | 2017 |
| Contributions au recalage pour la réalité augmentée en coelioscopie de l'utérus: Détection de contours sémantiques et mise à jour topologique du modèle virtuel à partir d … T François Institut Pascal, 2021 | | 2021 |
Adrien BartoliProfessor of Computer Science, Université Clermont AuvergneVerified email at uca.fr
