Weijie Gan

I am a 1st year Ph.D student in Computational Imaging Group (CIG) from Computer Science and Engineering Department at Washington University in St. Louis (WashU). My advisor is Prof. Ulugbek Kamilov.

My research areas are computational imaging, medical imaging and machine learning.

Email  /  GitHub  /  CV

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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

Proposed an iterated method, based on sparsity and total-variation priors, to enhance the resolution of video in both noise-free and noised videos.

Interesting Projects
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

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.

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