578 citations · 3k across the 77 of their papers we have counts for
8 papers · 1 filter
Widening siamese architectures for stereo matching
Patrick Brandao, Evangelos Mazomenos, Danail Stoyanov
Computational stereo is one of the classical problems in computer vision. Numerous algorithms and solutions have been reported in recent years focusing on developing methods for co…
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
Thomas Kurmann, Pablo Marquez Neila, Xiaofei Du +4
Detection of surgical instruments plays a key role in ensuring patient safety in minimally invasive surgery. In this paper, we present a novel method for 2D vision-based recognitio…
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking
Xiaofei Du, Alessio Dore, Danail Stoyanov
Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online…
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools
Luis C. Garcia-Peraza-Herrera, Wenqi Li, Lucas Fidon +8
Real-time tool segmentation from endoscopic videos is an essential part of many computer-assisted robotic surgical systems and of critical importance in robotic surgical data scien…
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition
Geoffrey Jones, Neil T Clancy, Xiaofei Du +4
Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen…
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Jianyu Lin, Neil T. Clancy, Yang Hu +5
Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support. We report an optical…
A comparative study of breast surface reconstruction for aesthetic outcome assessment
Rene Lacher, Francisco Vasconcelos, David Bishop +5
Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating di…
Surgical Data Science: Enabling Next-Generation Surgery
Lena Maier-Hein, Swaroop Vedula, Stefanie Speidel +22
This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive wo…