Using advanced simulation to aid microlithography development. - Daniel C. Cole; Eytan Barouch; Edward W. Conrad; Michael Yeung (Proc. IEEE, 2001)

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (CoRR, 2020)

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (Comput. Biol. Medicine, 2021)

A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. - Michael Yeung; Guang Yang 006; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (Nat. Mach. Intell., 2021)

Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. - Michael Yeung; Leonardo Rundo; Evis Sala; Carola-Bibiane Schönlieb; Guang Yang 006 (ISBI, 2022)

From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. - Michael Yeung; Todd Watts; Guang Yang 006 (MIUA, 2022)

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (Comput. Medical Imaging Graph., 2022)

Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation. - Michael Yeung; Todd Watts; Sean YW Tan; Pedro F. Ferreira; Andrew D. Scott; Sonia Nielles-Vallespin; Guang Yang 006 (CoRR, 2023)

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. - Michael Yeung; Leonardo Rundo; Yang Nan 002; Evis Sala; Carola-Bibiane Schönlieb; Guang Yang 006 (J. Digit. Imaging, 2023)

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition. - Michael Yeung; Toya Teramoto; Songtao Wu; Tatsuo Fujiwara; Kenji Suzuki; Tamaki Kojima (CoRR, 2024)