activity
20162025
most citedDeep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

181 citations · 309 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CG2025

Surface guided analysis of breast changes during post-operative radiotherapy by using a functional map framework

Pierre Galmiche, Hyewon Seo, Yvan Pin +3

The treatment of breast cancer using radiotherapy involves uncertainties regarding breast positioning. As the studies progress, more is known about the expected breast positioning…

eess.IV2021

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract

Jorge F. Lazo, Sara Moccia, Aldo Marzullo +5

Ureteroscopy and cystoscopy are the gold standard methods to identify and treat tumors along the urinary tract. It has been reported that during a normal procedure a rate of 10-20…

cs.RO2021★ 181 cited

Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

Rongrong Liu, Florent Nageotte, Philippe Zanne +2

Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has…

cs.RO2021★ 1 cited

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,…

eess.IV2021

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture

Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4

Ureteroscopy is becoming the first surgical treatment option for the majority of urinary affections. This procedure is performed using an endoscope which provides the surgeon with…

cs.RO2020★ 5 cited

Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system

Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne +1

Wearable sensor systems with transmitting capabilities are currently employed for the biometric screening of exercise activities and other performance data. Such technology is gene…

cs.RO2020★ 17 cited

Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements

Michel de Mathelin, Florent Nageotte, Philippe Zanne +1

STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a new robotic system for application to intraluminal surgical procedures. Preclinical testing of STRAS has rece…

cs.HC2018★ 52 cited

Seeing virtual while acting real: Visual display and strategy effects on the time and precision of eye-hand coordination

A. U. Batmaz, M. de Mathelin, Birgitta Dresp-Langley

Effects of computer generated 2D and 3D views on the time and precision of bare-handed or tool-mediated eye-hand coordination were investigated in a pick-and-place-task with comple…

cs.HC2018★ 15 cited

Effects of 2D and 3D image views on hand movement trajectories in the surgeons peripersonal space in a computer controlled simulator environment

AU Batmaz, M de Mathelin, Birgitta Dresp-Langley

In image-guided surgical tasks, the precision and timing of hand movements depend on the effectiveness of visual cues relative to specific target areas in the surgeons peri-persona…

cs.HC2018★ 29 cited

Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements

AU Batmaz, M de Mathelin, Birgitta Dresp-Langley

Background: The speed and precision with which objects are moved by hand or hand-tool interaction under image guidance depend on a specific type of visual and spatial sensorimotor…

cs.CV2017★ 4 cited

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1

Many approaches have been proposed for human pose estimation in single and multi-view RGB images. However, some environments, such as the operating room, are still very challenging…

cs.CV2016★ 5 cited

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Andru P. Twinanda, Sherif Shehata, Didier Mutter +3

Surgical workflow recognition has numerous potential medical applications, such as the automatic indexing of surgical video databases and the optimization of real-time operating ro…