1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR19 papers
- Université de StrasbourgFR18 papers
- Institut de Chirurgie Guidée par l'ImageFR14 papers
- Agostino Gemelli University PolyclinicIT10 papers
- Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'ImagerieFR8 papers
- Hôpitaux Universitaires de StrasbourgFR6 papers
- University of VeronaIT3 papers
- InsermFR2 papers
- Istituti di Ricovero e Cura a Carattere ScientificoIT2 papers
- Technical University of MunichDE2 papers
- University of PennsylvaniaUS2 papers
- Atmospheric and Space Technology Research Associates (United States)US1 paper
6 papers · 1 filter
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan +7
A major obstacle to building models for effective semantic segmentation, and particularly video semantic segmentation, is a lack of large and well annotated datasets. This bottlene…
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez +5
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to provide truly fine-grained and c…
Intraoperative time out to promote the implementation of the critical view of safety in laparoscopic cholecystectomy: a video-based assessment of 343 procedures
Pietro Mascagni, Maria Rita Rodriguez-Luna, Takeshi Urade +7
Background: The critical view of safety (CVS) is poorly adopted in surgical practices although it is ubiquitously recommended to prevent major bile duct injuries during laparoscopi…
Robotic needle steering in deformable tissues with extreme learning machines
Pedro Henrique Suruagy Perrusi, Anna Cazzaniga, Paul Baksic +3
Control strategies for robotic needle steering in soft tissues must account for complex interactions between the needle and the tissue to achieve accurate needle tip positioning. R…
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez +6
Purpose: Automatic segmentation and classification of surgical activity is crucial for providing advanced support in computer-assisted interventions and autonomous functionalities…
Wearable Sensors for Spatio-Temporal Grip Force Profiling
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature,…