research
∙
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...
share
research
∙
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...
research
∙
08/27/2021
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper focuses on automating the generation of medical reports from c...
research
∙
01/31/2020
Hybrid Graph Neural Networks for Crowd Counting
Crowd counting is an important yet challenging task due to the large sca...
research
∙
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. ...
research
∙
06/10/2019
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation
Encoder-decoder architectures are widely adopted for medical image segme...
research
∙
05/21/2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Semantic segmentation is essentially important to biomedical image analy...
research
∙
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...
research
∙
12/16/2016
