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08/12/2022
Triple-View Feature Learning for Medical Image Segmentation
Deep learning models, e.g. supervised Encoder-Decoder style networks, ex...
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06/30/2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images
Using decentralized data for federated training is one promising emergin...
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04/19/2022
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
Due to the high human cost of annotation, it is non-trivial to curate a ...
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09/15/2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
A label-efficient paradigm in computer vision is based on self-supervise...
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05/20/2021
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
Entanglement is a physical phenomenon, which has fueled recent successes...
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11/28/2020
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels
The data-driven nature of deep learning models for semantic segmentation...
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09/27/2020
RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels
Segmentation algorithms of medical image volumes are widely studied for ...
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02/11/2020
