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04/22/2023
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
Deep Image Prior (DIP) shows that some network architectures naturally b...
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11/11/2021
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI
Recent studies on T1-assisted MRI reconstruction for under-sampled image...
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08/27/2021
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper focuses on automating the generation of medical reports from c...
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01/31/2020
Hybrid Graph Neural Networks for Crowd Counting
Crowd counting is an important yet challenging task due to the large sca...
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07/07/2019
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis
Medical imaging plays a critical role in various clinical applications. ...
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06/10/2019
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation
Encoder-decoder architectures are widely adopted for medical image segme...
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05/21/2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Semantic segmentation is essentially important to biomedical image analy...
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09/07/2017
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image
Recently, more and more attention is drawn to the field of medical image...
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12/16/2016