Deep Learning 4D MR Reconstruction from Sparsely Data Without Ground Truth ISMRM(Abstract), Nov 2019
Proposed an novel deep learning approach by directly learning artifact-free 4D motion-resolved MR images from noisy MR data plagued by streaking artifacts, without the need of ground truth.
Multi-Scale CNN for Unsupervised Imaging Denoising In Progressing, Nov 2019
An novel unsupervised image denoising algorithm using only single corrupted images by capturing information from different scale in training.
Iterative-Based Dynamic Fast MR Image Reconstruction Algorithm ISMRM(Abstract), Nov 2019
An novel iterative method in real MRI reconstruction.
Video Super-Resolution Reconstruction Undergraduate Research, Aug. 2017 – May. 2018 GitHub
Proposed an iterated method, based on sparsity and total-variation priors, to enhance the resolution of video in both noise-free and noised videos.
The 11st National "NXP Cup" Smart Car Race Competition for College Students
Second Prize of South China University of Technology Division & Third Prize of the Southern China Division
, May.2015 – Aug. 2016
Designed a an auto-run smart car, which could recognize a pure white road with black borders by a specifics cam-era(Linear CCD) captured only one-row data(single dimension).
Track Microtubule in Medical Scan Video CSE554 Geometric Computing for Biomedicine
, 2018Fall GitHub
Proposed method with practical GUI tool to detect and track single micro-tubule movement in scan video. The tools also record the growth of target microtubule during video.