Michael Yeung

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 13

Top Topics

Class Imbalanced

Image Segmentation

Top Venues

Nat. Mach. Intell.

Publications

Michael Yeung, Todd Watts, Sean YW Tan, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation. CoRR (2023)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36 (2) (2023)
Michael Yeung, Todd Watts, Guang Yang
From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. MIUA (2022)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. 95 (2022)
Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI (2022)
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, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3 (3) (2021)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR (2021)
Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine 137 (2021)
Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR (2021)
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, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR (2020)
Daniel C. Cole, Eytan Barouch, Edward W. Conrad, Michael Yeung
Using advanced simulation to aid microlithography development. Proc. IEEE 89 (8) (2001)