research
∙
09/25/2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
Radiology report generation aims at generating descriptive text from rad...
share
research
∙
08/05/2019
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
The purpose of this work is to develop a deep learning-based method for ...
research
∙
02/01/2018
Full Image Recover for Block-Based Compressive Sensing
Recent years, compressive sensing (CS) has improved greatly for the appl...
research
∙
02/01/2018
Perceptual Compressive Sensing
This paper proposes perceptual compressive sensing. The network is compo...
research
∙
11/21/2017
Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Recently, deep learning methods have made a significant improvement in c...
research
∙
09/23/2017