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Pietro Mascagni
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2020 – today
- 2024
- [j15]Siddhant Satyanaik, Aditya Murali
, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy:
Optimizing latent graph representations of surgical scenes for unseen domain generalization. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1243-1250 (2024) - [j14]Aditya Murali
Latent Graph Representations for Critical View of Safety Assessment. IEEE Trans. Medical Imaging 43(3): 1247-1258 (2024) - [c4]Michele Ammendola, Giuseppe Massimiliano De Luca, Francesca Vescio, Nicola de'Angelis, Valeria Zuccalà, Andrea Balla, Umberto Bracale, Ludovica Guerriero, Giovanni Laracca, Vinicio Mosca
Avatar Surgeon, Digital Pathology and Telementoring: SICE New Technology and Training Research Group Experience. XR (2) 2024: 360-368 - [c3]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. MICCAI (6) 2024: 328-338 - [i24]Siddhant Satyanaik, Aditya Murali, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy:
Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer. CoRR abs/2403.06953 (2024) - [i23]Aditya Murali, Pietro Mascagni, Didier Mutter, Nicolas Padoy:
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM. CoRR abs/2407.06795 (2024) - [i22]Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary, Lorenzo Arboit, Giorgio Carlino, Joël L. Lavanchy
Surgical Text-to-Image Generation. CoRR abs/2407.09230 (2024) - 2023
- [j13]Sanat Ramesh
TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos. Int. J. Comput. Assist. Radiol. Surg. 18(9): 1665-1672 (2023) - [j12]Chinedu Innocent Nwoye
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j11]Tong Yu, Pietro Mascagni, Juan Verde, Jacques Marescaux
Live laparoscopic video retrieval with compressed uncertainty. Medical Image Anal. 88: 102866 (2023) - [j10]Chinedu Innocent Nwoye
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89: 102888 (2023) - [j9]Alexandros Karargyris
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j8]Hasan Kassem
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. IEEE Trans. Medical Imaging 42(7): 1920-1931 (2023) - [j7]Sanat Ramesh
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition. IEEE Trans. Medical Imaging 42(9): 2592-2602 (2023) - [c2]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. MICCAI (9) 2023: 647-657 - [i21]Joël L. Lavanchy
Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. CoRR abs/2301.07053 (2023) - [i20]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR abs/2302.06294 (2023) - [i19]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition. CoRR abs/2302.10834 (2023) - [i18]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR abs/2307.15220 (2023) - [i17]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. CoRR abs/2312.05968 (2023) - [i16]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. CoRR abs/2312.06829 (2023) - [i15]Jean-Paul Mazellier, Antoine Boujon, Méline Bour-Lang, Maël Erharhd, Julien Waechter, Emilie Wernert, Pietro Mascagni, Nicolas Padoy:
MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation. CoRR abs/2312.08593 (2023) - [i14]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy:
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark. CoRR abs/2312.12429 (2023) - 2022
- [j6]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76: 102306 (2022) - [j5]Chinedu Innocent Nwoye
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos. Medical Image Anal. 78: 102433 (2022) - [j4]Kyle Lam
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - [j3]Pietro Mascagni
Computer vision in surgery: from potential to clinical value. npj Digit. Medicine 5 (2022) - [i13]Tong Yu, Pietro Mascagni, Juan Verde, Jacques Marescaux, Didier Mutter, Nicolas Padoy:
Live Laparoscopic Video Retrieval with Compressed Uncertainty. CoRR abs/2203.04301 (2022) - [i12]Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. CoRR abs/2203.07345 (2022) - [i11]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - [i10]Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan
Latent Graph Representations for Critical View of Safety Assessment. CoRR abs/2212.04155 (2022) - [i9]Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola, Armine Vardazaryan
Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation. CoRR abs/2212.06809 (2022) - 2021
- [j2]Sanat Ramesh
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1111-1119 (2021) - [i8]Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. CoRR abs/2102.12218 (2021) - [i7]Pietro Mascagni, Deepak Alapatt, Alain Garcia, Nariaki Okamoto, Armine Vardazaryan, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy:
Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety. CoRR abs/2106.10916 (2021) - [i6]Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos. CoRR abs/2109.03223 (2021) - [i5]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - [i4]Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy:
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation. CoRR abs/2112.13815 (2021) - 2020
- [j1]Valentin Bencteux
Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1585-1595 (2020) - [c1]Chinedu Innocent Nwoye
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. MICCAI (3) 2020: 364-374 - [i3]Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. CoRR abs/2007.05405 (2020) - [i2]Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR abs/2009.13411 (2020) - [i1]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. CoRR abs/2011.02284 (2020)
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last updated on 2024-11-15 19:33 CET by the dblp team
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