yhao-z
Yinghao Zhang is currently a doctoral candidate at Harbin Institute of Technology, Harbin, China.
Harbin Institute of TechnologyHarbin, China
Pinned Repositories
dMRI-Data
dMRI data that I always use
dMRI-utils
dMRI/3d_MRI general utilities
DUS-Net
The code for the IEEE ICIP paper "Deep unrolling Shrinkage Network for Dynamic MR imaging". All required code and data are given. Just download and run the program directly!
HIT-PowerPoint
哈尔滨工业大学(哈工大、HIT)PPT模板,可以用于答辩、组会、各种汇报
HIT-thesis-template-word
Undergraduate thesis template of Harbin Institute of Technology, consist of proposal, mid-term and thesis template.
Learned-Low-Rank
Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.
NeRP
Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
RADAR-signal-detect-on-swerling-model
基于Swerling目标模型的雷达信号检测
Sampling-Mask-MRI
undersampling mask/methods, under-rate sampling, under sample, sub-nyquist sampling, for MRI k-space undersampling, but it's easy to adapt to image sampling
TMNN
the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
yhao-z's Repositories
yhao-z/HIT-PowerPoint
哈尔滨工业大学(哈工大、HIT)PPT模板,可以用于答辩、组会、各种汇报
yhao-z/Learned-Low-Rank
Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.
yhao-z/RADAR-signal-detect-on-swerling-model
基于Swerling目标模型的雷达信号检测
yhao-z/TMNN
the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
yhao-z/DUS-Net
The code for the IEEE ICIP paper "Deep unrolling Shrinkage Network for Dynamic MR imaging". All required code and data are given. Just download and run the program directly!
yhao-z/NeRP
Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
yhao-z/HIT-thesis-template-word
Undergraduate thesis template of Harbin Institute of Technology, consist of proposal, mid-term and thesis template.
yhao-z/Sampling-Mask-MRI
undersampling mask/methods, under-rate sampling, under sample, sub-nyquist sampling, for MRI k-space undersampling, but it's easy to adapt to image sampling
yhao-z/dMRI-Data
dMRI data that I always use
yhao-z/TNN---tensor-completion-for-dMRI-image
Implement tensor completion for dMRI image, not taking care of k-space, just undersampling the image.
yhao-z/academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
yhao-z/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
yhao-z/Comparison-Of-Optimization-Algorithms
# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #
yhao-z/dMRI-utils
dMRI/3d_MRI general utilities
yhao-z/T2LR-Net
the code for dynamic MR reconstruction unrolling network T2LR-Net
yhao-z/GIRAF-3d-CG
GIRAF algorithm for MRI data in 3 dimension using the CG iterative algorithm, that means the algorithm is relatively slow.
yhao-z/GIRAF-3d-fast
GIRAF algorithm for MRI data in 3 dimension without the CG iterative algorithm, using two steps of viarable splitting instead of only one step in the the original 2d GIRAF algorithm, that means the algorithm is fast.
yhao-z/HIT-clock
HIT每日上报自动脚本
yhao-z/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
yhao-z/ocmr-preproc-tf
This is a pipeline in Tensorflow framework to preprocess the OCMR (cine MR) dataset into the .tfrecord files.
yhao-z/response2reviewers-template
A latex template for replying reviewers
yhao-z/SMSBoom
短信轰炸/短信测压/ | 一个健壮免费的python短信轰炸程序,专门炸坏蛋蛋,百万接口,多线程全自动添加有效接口,支持异步协程百万并发,全免费的短信轰炸工具!!hongkonger开发全网首发!!
yhao-z/TDDIP
Time-Dependent Deep Image Prior for Dynamic MRI
yhao-z/Tensor-tensor-product-toolbox
tensor-tensor product toolbox
yhao-z/tensorflow-svd-NaN
tensorflow-svd-NaN example
yhao-z/TV_L1_Denoising_via_ADMM
yhao-z/UFLoss
yhao-z/yhao-z
My awesome README.md
yhao-z/yhao-z.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes