Michael Yeung
Orcid: 0000-0001-8700-9144
According to our database1,
Michael Yeung
authored at least 13 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2005
2010
2015
2020
0
1
2
3
4
5
6
1
2
1
5
1
1
2
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
2023
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
J. Digit. Imaging, April, 2023
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation.
CoRR, 2023
2022
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Comput. Medical Imaging Graph., 2022
From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell., 2021
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation.
CoRR, 2021
CoRR, 2021
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation.
CoRR, 2021
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
Comput. Biol. Medicine, 2021
2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020
2001