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03/20/2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Supervised deep learning methods have achieved considerable success in m...
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02/10/2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Over the last decade, supervised deep learning on manually annotated big...
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05/13/2022
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
High-resolution (HR) MRI is critical in assisting the doctor's diagnosis...
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07/16/2021
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation
Recent supervised deep learning methods have shown that heart rate can b...
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07/11/2021
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
The segmentation of medical images is a fundamental step in automated cl...
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02/28/2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Dynamic medical imaging is usually limited in application due to the lar...
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06/07/2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
Medical image analysis using supervised deep learning methods remains pr...
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03/15/2019
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
The accuracy and robustness of image classification with supervised deep...
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07/16/2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis
The availability of large-scale annotated image datasets coupled with re...
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03/12/2017
