| Surgical data science–from concepts toward clinical translation L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ... Medical image analysis 76, 102306, 2022 | 196 | 2022 |
| Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning P Mascagni, A Vardazaryan, D Alapatt, T Urade, T Emre, C Fiorillo, ... Annals of surgery 275 (5), 955-961, 2022 | 184 | 2022 |
| Computer vision in surgery TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy, O Meireles, ... Surgery 169 (5), 1253-1256, 2021 | 112 | 2021 |
| Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos CI Nwoye, T Yu, C Gonzalez, B Seeliger, P Mascagni, D Mutter, ... Medical Image Analysis 78, 102433, 2022 | 95 | 2022 |
| Recognition of instrument-tissue interactions in endoscopic videos via action triplets CI Nwoye, C Gonzalez, T Yu, P Mascagni, D Mutter, J Marescaux, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 78 | 2020 |
| A computer vision platform to automatically locate critical events in surgical videos: documenting safety in laparoscopic cholecystectomy P Mascagni, D Alapatt, T Urade, A Vardazaryan, D Mutter, J Marescaux, ... Annals of surgery 274 (1), e93-e95, 2021 | 71 | 2021 |
| Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures S Ramesh, D Dall’Alba, C Gonzalez, T Yu, P Mascagni, D Mutter, ... International journal of computer assisted radiology and surgery 16, 1111-1119, 2021 | 66 | 2021 |
| New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precision P Mascagni, F Longo, M Barberio, B Seeliger, V Agnus, P Saccomandi, ... Journal of surgical oncology 118 (2), 265-282, 2018 | 62 | 2018 |
| HYPerspectral Enhanced Reality (HYPER): A physiology-based surgical guidance tool M Barberio, F Longo, C Fiorillo, B Seeliger, P Mascagni, V Agnus, ... Surgical endoscopy 34, 1736-1744, 2020 | 58 | 2020 |
| Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety P Mascagni, C Fiorillo, T Urade, T Emre, T Yu, T Wakabayashi, E Felli, ... Surgical endoscopy 34, 2709-2714, 2020 | 56 | 2020 |
| Surgical data science and artificial intelligence for surgical education TM Ward, P Mascagni, A Madani, N Padoy, S Perretta, DA Hashimoto Journal of Surgical Oncology 124 (2), 221-230, 2021 | 52 | 2021 |
| Computer vision in surgery: from potential to clinical value P Mascagni, D Alapatt, L Sestini, MS Altieri, A Madani, Y Watanabe, ... npj Digital Medicine 5 (1), 163, 2022 | 49 | 2022 |
| Computer vision in the operating room: Opportunities and caveats LR Kennedy-Metz, P Mascagni, A Torralba, RD Dias, P Perona, JA Shah, ... IEEE transactions on medical robotics and bionics 3 (1), 2-10, 2020 | 47 | 2020 |
| Artificial intelligence and surgery: ethical dilemmas and open issues L Cobianchi, JM Verde, TJ Loftus, D Piccolo, F Dal Mas, P Mascagni, ... Journal of the American College of Surgeons 235 (2), 268-275, 2022 | 46 | 2022 |
| A Delphi consensus statement for digital surgery K Lam, MD Abràmoff, JM Balibrea, SM Bishop, RR Brady, RA Callcut, ... NPJ digital medicine 5 (1), 100, 2022 | 43 | 2022 |
| The causes of gastroesophageal reflux after laparoscopic sleeve gastrectomy: quantitative assessment of the structure and function of the esophagogastric junction by magnetic … G Quero, C Fiorillo, B Dallemagne, P Mascagni, J Curcic, M Fox, ... Obesity surgery 30, 2108-2117, 2020 | 42 | 2020 |
| OR black box and surgical control tower: recording and streaming data and analytics to improve surgical care P Mascagni, N Padoy Journal of Visceral Surgery 158 (3), S18-S25, 2021 | 40 | 2021 |
| Augmented reality and image-guided robotic liver surgery F Giannone, E Felli, Z Cherkaoui, P Mascagni, P Pessaux Cancers 13 (24), 6268, 2021 | 38 | 2021 |
| Cholectriplet2021: A benchmark challenge for surgical action triplet recognition CI Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, F Jia, ... Medical Image Analysis 86, 102803, 2023 | 37 | 2023 |
| Federated cycling (FedCy): Semi-supervised Federated Learning of surgical phases H Kassem, D Alapatt, P Mascagni, A Karargyris, N Padoy IEEE transactions on medical imaging 42 (7), 1920-1931, 2022 | 37 | 2022 |
