most citedSemi-supervised learning for medical image classification using imbalanced training data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 2 cited

Semi-supervised learning for medical image classification using imbalanced training data

Tri Huynh, Aiden Nibali, Zhen He

Medical image classification is often challenging for two reasons: a lack of labelled examples due to expensive and time-consuming annotation protocols, and imbalanced class labels…

cs.LG2019

Multigrid Neural Memory

Tri Huynh, Michael Maire, Matthew R. Walter

We introduce a novel approach to endowing neural networks with emergent, long-term, large-scale memory. Distinct from strategies that connect neural networks to external memory ban…