5 citations · 8 across the 11 of their papers we have counts for
4 papers · 1 filter
A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets
Harvey Mannering, Yilin Zhang, Ziao Liu +3
Prenatal ultrasound imaging is key for assessing fetal health, but AI progress is limited by scarce, privacy-restricted, and hard-to-annotate datasets. We propose a high-resolution…
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom
Adrito Das, Bilal Sidiqi, Laurent Mennillo +10
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automat…
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Michelle Iskandar, Harvey Mannering, Zhanxiang Sun +4
Prenatal ultrasound imaging is the first-choice modality to assess fetal health. Medical image datasets for AI and ML methods must be diverse (i.e. diagnoses, diseases, pathologies…
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs
Thea Bautista, Jacqueline Matthew, Hamideh Kerdegari +2
In this work, we present an empirical study of DCGANs, including hyperparameter heuristics and image quality assessment, as a way to address the scarcity of datasets to investigate…