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04/22/2022
A Closer Look at Personalization in Federated Image Classification
Federated Learning (FL) is developed to learn a single global model acro...
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04/17/2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Anomaly Detection (AD) on medical images enables a model to recognize an...
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05/31/2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
The analysis of organ vessels is essential for computer-aided diagnosis ...
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12/10/2020
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Despite deep convolutional neural networks achieved impressive progress ...
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10/23/2020
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
Standard segmentation of medical images based on full-supervised convolu...
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10/25/2018
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal
The analysis of lesion within medical image data is desirable for effici...
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05/06/2018
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
The need for fast acquisition and automatic analysis of MRI data is grow...
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04/10/2018
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction
In multi-contrast magnetic resonance imaging (MRI), compressed sensing t...
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04/04/2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Compressed sensing MRI is a classic inverse problem in the field of comp...
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03/27/2018
A Divide-and-Conquer Approach to Compressed Sensing MRI
Compressed sensing (CS) theory assures us that we can accurately reconst...
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03/23/2018