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05/04/2023
Forward-Forward Contrastive Learning
Medical image classification is one of the most important tasks for comp...
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04/11/2023
Semi-Supervised Relational Contrastive Learning
Disease diagnosis from medical images via supervised learning is usually...
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04/02/2022
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder
Deep learning-based super-resolution methods have shown great promise, e...
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10/25/2021
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data
Deep learning-based models, when trained in a fully-supervised manner, c...
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05/15/2021
Window-Level is a Strong Denoising Surrogate
CT image quality is heavily reliant on radiation dose, which causes a tr...
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10/28/2020
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
Semi-supervised learning via learning from limited quantities of labeled...
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05/28/2020
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Scoliosis is a congenital disease that causes lateral curvature in the s...
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05/08/2020
Progressive Adversarial Semantic Segmentation
Medical image computing has advanced rapidly with the advent of deep lea...
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05/05/2020
Partly Supervised Multitask Learning
Semi-supervised learning has recently been attracting attention as an al...
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04/15/2020
Analysis of Scoliosis From Spinal X-Ray Images
Scoliosis is a congenital disease in which the spine is deformed from it...
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08/10/2019
Semi-Supervised Multi-Task Learning With Chest X-Ray Images
Especially in the medical imaging domain when large labeled datasets are...
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06/14/2019
Multi-Adversarial Variational Autoencoder Networks
The unsupervised training of GANs and VAEs has enabled them to generate ...
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02/18/2019