research
∙
04/25/2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
As one of the most commonly ordered imaging tests, computed tomography (...
share
research
∙
01/26/2021
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Congenital heart disease (CHD) is the most common type of birth defect, ...
research
∙
12/29/2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
Coronary artery disease (CAD) is the most common cause of death globally...
research
∙
11/04/2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Deep learning had already demonstrated its power in medical images, incl...
research
∙
07/18/2020
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation
Real-time cine magnetic resonance imaging (MRI) plays an increasingly im...
research
∙
02/27/2020
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
CT image denoising can be treated as an image-to-image translation task ...
research
∙
07/06/2019
Accurate Congenital Heart Disease ModelGeneration for 3D Printing
3D printing has been widely adopted for clinical decision making and int...
research
∙
07/06/2019