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cs.CV2025
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…
cs.CV2024
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…
cs.CV2024
Measuring proximity to standard planes during fetal brain ultrasound scanning
Chiara Di Vece, Antonio Cirigliano, Meala Le Lous +6
This paper introduces a novel pipeline designed to bring ultrasound (US) plane pose estimation closer to clinical use for more effective navigation to the standard planes (SPs) in…