A Machine Learning Approach for Colles' Fracture Treatment Diagnosis. - Kwun Ho Ngan; Artur S. d'Avila Garcez; Karen M. Knapp; Andy Appelboam; Constantino Carlos Reyes-Aldasoro (MIUA, 2020)

Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures. - Ananda Ananda; Kwun Ho Ngan; Cefa Karabag; Aram Ter-Sarkisov; Eduardo Alonso; Constantino Carlos Reyes-Aldasoro (Sensors, 2021)

Extracting Meaningful High-Fidelity Knowledge from Convolutional Neural Networks. - Kwun Ho Ngan; Artur S. d'Avila Garcez; Joseph Townsend (IJCNN, 2022)

Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks. - Kwun Ho Ngan; James Phelan; Esma Mansouri-Benssassi; Joe Townsend; Artur S. d'Avila Garcez (NeSy, 2023)

Discovering Visual Concepts and Rules in Convolutional Neural Networks. - Joe Townsend; Esma Mansouri-Benssassi; Kwun Ho Ngan; Artur d'Avila Garcez (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Contrastive counterfactual visual explanations with overdetermination. - Adam White 002; Kwun Ho Ngan; James Phelan; Kevin Ryan; Saman Sadeghi Afgeh; Constantino Carlos Reyes-Aldasoro; Artur S. d'Avila Garcez (Mach. Learn., 2023)

Symbolic Knowledge Extraction and Distillation into Convolutional Neural Networks to Improve Medical Image Classification. - Kwun Ho Ngan; James Phelan; Joe Townsend; Artur d'Avila Garcez (IJCNN, 2024)