28 citations · 65 across the 5 of their papers we have counts for
6 papers
Augmented Reality and Human-Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics
Junling Fu, Matteo Pecorella, Elisa Iovene +5
During Percutaneous Nephrolithotomy (PCNL) operations, the surgeon is required to define the incision point on the patient's back, align the needle to a pre-planned path, and perfo…
Towards Safer Robot-Assisted Surgery: A Markerless Augmented Reality Framework
Ziyang Chen, Laura Cruciani, Ke Fan +6
Robot-assisted surgery is rapidly developing in the medical field, and the integration of augmented reality shows the potential of improving the surgeons' operation performance by…
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini, Benoit Rosa, Elena De Momi +2
Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…
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…
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini, Benoit Rosa, Elena De Momi +2
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-o…
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
Luca Sestini, Benoit Rosa, Elena De Momi +2
3-D pose estimation of instruments is a crucial step towards automatic scene understanding in robotic minimally invasive surgery. Although robotic systems can potentially directly…