15 citations · 17 across the 7 of their papers we have counts for
13 papers · 1 filter
A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry
Chiara Di Vece, Zhehua Mao, Netanell Avisdris +7
Accurate fetal growth assessment from ultrasound (US) relies on precise biometry measured by manually identifying anatomical landmarks in standard planes. Manual landmarking is tim…
SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition
Rema Daher, Francisco Vasconcelos, Danail Stoyanov
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recognising which portions of the colon have been visualised and characterising the size…
Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks
Sierra Bonilla, Chiara Di Vece, Rema Daher +4
Three-dimensional (3D) reconstruction from two-dimensional images is an active research field in computer vision, with applications ranging from navigation and object tracking to s…
CathAction: A Benchmark for Endovascular Intervention Understanding
Baoru Huang, Tuan Vo, Chayun Kongtongvattana +35
Real-time visual feedback from catheterization analysis is crucial for enhancing surgical safety and efficiency during endovascular interventions. However, existing datasets are of…
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces
Baoru Huang, Yida Wang, Anh Nguyen +3
In surgical oncology, screening colonoscopy plays a pivotal role in providing diagnostic assistance, such as biopsy, and facilitating surgical navigation, particularly in polyp det…
Measuring proximity to standard planes during fetal brain ultrasound scanning
Chiara Di Vece, Antonio Cirigliano, Meala Le Lous +6
This paper presents a pipeline designed to bring ultrasound (US) plane pose estimation closer to clinical use, demonstrating the feasibility of continuous, real-time proximity feed…