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BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations


Feb 02, 2023
Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos Pena-Solorzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro

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* Under Review 

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Learning Support and Trivial Prototypes for Interpretable Image Classification


Jan 08, 2023
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

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Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach


Jan 04, 2023
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

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* Under peer review 

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Task Weighting in Meta-learning with Trajectory Optimisation


Jan 04, 2023
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

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* Revision after a peer review from JMLR 

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Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning


Jan 01, 2023
Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tain, Gustavo Carneiro

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Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation


Nov 26, 2022
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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* 16 pages, 11 figures and it is a preprint version 

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Knowing What to Label for Few Shot Microscopy Image Cell Segmentation


Nov 18, 2022
Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis

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* Accepted to WACV 2023 

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Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels


Oct 17, 2022
Brandon Smart, Gustavo Carneiro

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Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models


Sep 26, 2022
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro

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* 11 pages, 4 figures, conference. Springer, Cham, 2022 

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