5 citations · 8 across the 11 of their papers we have counts for
11 papers
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 a Simple Framework of Skill Transfer Learning for Robotic Ultrasound-guidance Procedures
Tsz Yan Leung, Miguel Xochicale
In this paper, we present a simple framework of skill transfer learning for robotic ultrasound-guidance procedures. We briefly review challenges in skill transfer learning for robo…
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…
Teaching AI and Robotics to Children in a Mexican town
Antonio Badillo-Perez, Donato Badillo-Perez, Alex Barco +2
In this paper, we present a pilot study aiming to investigate the challenges of teaching AI and Robotics to children in low- and middle-income countries. Challenges such as the lit…
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries
Miguel Xochicale, Louise Thwaites, Sophie Yacoub +5
We present a Machine Learning (ML) study case to illustrate the challenges of clinical translation for a real-time AI-empowered echocardiography system with data of ICU patients in…
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…
Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for Children
Antonio Badillo-Perez, Donato Badillo-Perez, Diego Coyotzi-Molina +4
In this paper, we present preliminary work from a pilot workshop that aimed to promote diversity and inclusion for fundamentals of Artificial Intelligence and Robotics for Children…
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu +12
Left ventricular (LV) function is an important factor in terms of patient management, outcome, and long-term survival of patients with heart disease. The most recently published cl…
AIR4Children: Artificial Intelligence and Robotics for Children
Rocio Montenegro, Elva Corona, Donato Badillo-Perez +4
We introduce AIR4Children, Artificial Intelligence for Children, as a way to (a) tackle aspects for inclusion, accessibility, transparency, equity, fairness and participation and (…
Nonlinear methods to quantify Movement Variability in Human-Humanoid Interaction Activities
Miguel Xochicale, Chirs Baber
Human movement variability arises from the process of mastering redundant (bio)mechanical degrees of freedom to successfully accomplish any given motor task where flexibility and s…