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07/26/2023
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
The missing modality issue is critical but non-trivial to be solved by m...
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09/26/2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
State-of-the-art (SOTA) deep learning mammogram classifiers, trained wit...
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09/21/2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
When analysing screening mammograms, radiologists can naturally process ...
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07/22/2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Multi-modal learning focuses on training models by equally combining mul...
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03/28/2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
3D medical image segmentation methods have been successful, but their de...
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03/03/2022
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification
Deep learning methods have shown outstanding classification accuracy in ...
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11/25/2021
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification
Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...
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11/25/2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Consistency learning using input image, feature, or network perturbation...
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03/05/2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...
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01/25/2021
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors
Current unsupervised anomaly detection and localisation systems are comm...
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01/25/2021
