3 citations · 6 across the 5 of their papers we have counts for
5 papers
Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation
Shahnewaz Ali, Ross Crawford, Frederic Maire +1
Tissue awareness has a great demand to improve surgical accuracy in minimally invasive procedures. In arthroscopy, it is one of the challenging tasks due to surgical sites exhibit…
Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery
Shahnewaz Ali, Yaqub Jonmohamadi, Ross Crawford +2
Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons…
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu +4
Minimally invasive surgery (MIS) has many documented advantages, but the surgeon's limited visual contact with the scene can be problematic. Hence, systems that can help surgeons n…
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
Shahnewaz Ali, Yaqub Jonmohamadi, Yu Takeda +4
Knee arthroscopy is a minimally invasive surgical (MIS) procedure which is performed to treat knee-joint ailment. Lack of visual information of the surgical site obtained from mini…
Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm
Andrew Razjigaev, Ajay K. Pandey, Jonathan Roberts +1
Tendon-driven snake-like arms have been used to create highly dexterous continuum robots so that they can bend around anatomical obstacles to access clinical targets. In this paper…