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Michael Yeung

on behalf of the AIX-COVNET collaboration

https://www.catalyzex.com

Focal Attention Networks: optimising attention for biomedical image segmentation

Oct 31, 2021
Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

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Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation

Oct 31, 2021
Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo

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Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

Oct 31, 2021
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

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Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy

May 16, 2021
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo

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A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation

Feb 08, 2021
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo

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Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review

Sep 01, 2020
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb

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* 25 pages, 3 figures, 2 tables

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