1 citations · 1 across the 5 of their papers we have counts for
6 papers
Evaluating Robotic Approach Techniques for the Insertion of a Straight Instrument into a Vitreoretinal Surgery Trocar
Ross Henry, Martin Huber, Anestis Mablekos-Alexiou +5
Advances in vitreoretinal robotic surgery enable precise techniques for gene therapies. This study evaluates three robotic approaches using the 7-DoF robotic arm for docking a micr…
Semi-Autonomous Laparoscopic Robot Docking with Learned Hand-Eye Information Fusion
Huanyu Tian, Martin Huber, Christopher E. Mower +4
In this study, we introduce a novel shared-control system for key-hole docking operations, combining a commercial camera with occlusion-robust pose estimation and a hand-eye inform…
Oflib: Facilitating Operations with and on Optical Flow Fields in Python
Claudio Ravasio, Lyndon Da Cruz, Christos Bergeles
We present a robust theoretical framework for the characterisation and manipulation of optical flow, i.e 2D vector fields, in the context of their use in motion estimation algorith…
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz +1
This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extract…
2020 CATARACTS Semantic Segmentation Challenge
Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi +37
Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In…
Effective semantic segmentation in Cataract Surgery: What matters most?
Theodoros Pissas, Claudio Ravasio, Lyndon Da Cruz +1
Our work proposes neural network design choices that set the state-of-the-art on a challenging public benchmark on cataract surgery, CaDIS. Our methodology achieves strong performa…