31 citations · 112 across the 8 of their papers we have counts for
9 papers
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
Rongrong Liu, John M. Wandeto, Florent Nageotte +3
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control. Grip forces were recorded from va…
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
Jorge F. Lazo, Benoit Rosa, Michele Catellani +6
Objective: Accurate visual classification of bladder tissue during Trans-Urethral Resection of Bladder Tumor (TURBT) procedures is essential to improve early cancer diagnosis and t…
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing
Jorge F. Lazo, Chun-Feng Lai, Sara Moccia +7
Navigation inside luminal organs is an arduous task that requires non-intuitive coordination between the movement of the operator's hand and the information obtained from the endos…
Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning
Guiqiu Liao, Oscar Caravaca-Mora, Benoit Rosa +7
Optical Coherence Tomography (OCT) is an emerging medical imaging modality for luminal organ diagnosis. The non-constant rotation speed of optical components in the OCT catheter ti…
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4
Purpose: Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma (UTUC). During ureteroscopy, the a…
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi +3
Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and th…
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016
Andru P. Twinanda, Didier Mutter, Jacques Marescaux +2
The surgical workflow challenge at M2CAI 2016 consists of identifying 8 surgical phases in cholecystectomy procedures. Here, we propose to use deep architectures that are based on…
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016
Andru P. Twinanda, Didier Mutter, Jacques Marescaux +2
The tool presence detection challenge at M2CAI 2016 consists of identifying the presence/absence of seven surgical tools in the images of cholecystectomy videos. Here, we propose t…
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Propos…