no code implementations • 22 Mar 2024 • Ze Chen, Gongyu Zhang, Jiayu Huo, Joan Nunez do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sebastien Ourselin, Christos Bergeles, Timothy Jackson
This study introduces a novel framework for enhancing domain generalization in medical imaging, specifically focusing on utilizing unlabelled multi-view colour fundus photographs.
1 code implementation • 15 Mar 2024 • Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin
Video-based surgical instrument segmentation plays an important role in robot-assisted surgeries.
no code implementations • 27 Feb 2024 • Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin
We train models for these tasks in a zero-shot cross-modal transfer setting, a domain where the previous state-of-the-art method relied on the fixed scale noise injection, often compromising the semantic content of the original modality embedding.
1 code implementation • 24 Jul 2023 • Martin Huber, Sebastien Ourselin, Christos Bergeles, Tom Vercauteren
In this work, we investigate laparoscopic camera motion automation through imitation learning from retrospective videos of laparoscopic interventions.
no code implementations • 13 Oct 2022 • Christopher E. Mower, Theodoros Stouraitis, João Moura, Christian Rauch, Lei Yan, Nazanin Zamani Behabadi, Michael Gienger, Tom Vercauteren, Christos Bergeles, Sethu Vijayakumar
However, there is a lack of software connecting reliable contact simulation with the larger robotics ecosystem (i. e. ROS, Orocos), for a more seamless application of novel approaches, found in the literature, to existing robotic hardware.
2 code implementations • 11 Oct 2022 • 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 algorithms and beyond.
1 code implementation • 25 Mar 2022 • Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles
We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks.
1 code implementation • 25 Oct 2021 • Martin Huber, John Bason Mitchell, Ross Henry, Sébastien Ourselin, Tom Vercauteren, Christos Bergeles
Our approach allows a surgeon to build a graph of desired views, from which, once built, views can be manually selected and automatically servoed to irrespective of robot-patient frame transformation changes.
no code implementations • 21 Oct 2021 • Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Ren Hongliang, Theodoros Pissas, Claudio Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil KumarTomar, Debesh Jha, Michael A. Riegler, Pal Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov
In 2020, we released pixel-wise semantic annotations for anatomy and instruments for 4670 images sampled from 25 videos of the CATARACTS training set.
2 code implementations • 30 Sep 2021 • Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren
We perform an extensive evaluation of state-of-the-art (SOTA) Deep Neural Networks (DNNs) across multiple compute regimes, finding our method transfers from our camera motion free da Vinci surgery dataset to videos of laparoscopic interventions, outperforming classical homography estimation approaches in both, precision by 41%, and runtime on a CPU by 43%.
1 code implementation • 13 Aug 2021 • Theodoros Pissas, Claudio Ravasio, Lyndon Da Cruz, Christos Bergeles
Our work proposes neural network design choices that set the state-of-the-art on a challenging public benchmark on cataract surgery, CaDIS.
Ranked #1 on 2D Semantic Segmentation task 1 (8 classes) on CaDIS
2D Semantic Segmentation task 1 (8 classes) 2D Semantic Segmentation task 2 (17 classes) +2
1 code implementation • 1 Apr 2020 • Theodoros Pissas, Edward Bloch, M. Jorge Cardoso, Blanca Flores, Odysseas Georgiadis, Sepehr Jalali, Claudio Ravasio, Danail Stoyanov, Lyndon Da Cruz, Christos Bergeles
This paper addresses retinal vessel segmentation on optical coherence tomography angiography (OCT-A) images of the human retina.
1 code implementation • ICCV 2017 • Sotiris Nousias, Francois Chadebecq, Jonas Pichat, Pearse Keane, Sebastien Ourselin, Christos Bergeles
We propose a method for geometric calibration of multi-focus plenoptic cameras using raw images.