Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Ramesh, Sanat"'
1
Report
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery
Autor: Lavanchy, Joel L., Ramesh, Sanat, Dall'Alba, Diego, Gonzalez, Cristians, Fiorini, Paolo, Muller-Stich, Beat, Nett, Philipp C., Marescaux, Jacques, Mutter, Didier, Padoy, Nicolas
Most studies on surgical activity recognition utilizing Artificial intelligence (AI) have focused mainly on recognizing one type of activity from small and mono-centric surgical video datasets. It remains speculative whether those models would genera
Externí odkaz: http://arxiv.org/abs/2312.11250
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2
Report
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Autor: Ramesh, Sanat, Dall'Alba, Diego, Gonzalez, Cristians, Yu, Tong, Mascagni, Pietro, Mutter, Didier, Marescaux, Jacques, Fiorini, Paolo, Padoy, Nicolas
Automatic recognition of fine-grained surgical activities, called steps, is a challenging but crucial task for intelligent intra-operative computer assistance. The development of current vision-based activity recognition methods relies heavily on a h
Externí odkaz: http://arxiv.org/abs/2302.10834
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3
Report
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Autor: Ramesh, Sanat, Srivastav, Vinkle, Alapatt, Deepak, Yu, Tong, Murali, Aditya, Sestini, Luca, Nwoye, Chinedu Innocent, Hamoud, Idris, Sharma, Saurav, Fleurentin, Antoine, Exarchakis, Georgios, Karargyris, Alexandros, Padoy, Nicolas
The field of surgical computer vision has undergone considerable breakthroughs in recent years with the rising popularity of deep neural network-based methods. However, standard fully-supervised approaches for training such models require vast amount
Externí odkaz: http://arxiv.org/abs/2207.00449
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4
Report
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Autor: Ramesh, Sanat, Dall'Alba, Diego, Gonzalez, Cristians, Yu, Tong, Mascagni, Pietro, Mutter, Didier, Marescaux, Jacques, Fiorini, Paolo, Padoy, Nicolas
Purpose: Automatic segmentation and classification of surgical activity is crucial for providing advanced support in computer-assisted interventions and autonomous functionalities in robot-assisted surgeries. Prior works have focused on recognizing e
Externí odkaz: http://arxiv.org/abs/2102.12218
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7
Akademický článek
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Plný text Recenzováno Digitální knihovna AV ČR
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