Yinghao Zhang's Projects
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
A Latex style and template for paper preprints (based on NIPS style)
# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #
dMRI data that I always use
dMRI/3d_MRI general utilities
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!
GIRAF algorithm for MRI data in 3 dimension using the CG iterative algorithm, that means the algorithm is relatively slow.
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.
HIT每日上报自动脚本
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
Undergraduate thesis template of Harbin Institute of Technology, consist of proposal, mid-term and thesis template.
Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
This is a pipeline in Tensorflow framework to preprocess the OCMR (cine MR) dataset into the .tfrecord files.
基于Swerling目标模型的雷达信号检测
A latex template for replying reviewers
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
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!!
the code for dynamic MR reconstruction unrolling network T2LR-Net
Time-Dependent Deep Image Prior for Dynamic MRI
tensor-tensor product toolbox
tensorflow-svd-NaN example
the implementation of TMNN. The paper is Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
Implement tensor completion for dMRI image, not taking care of k-space, just undersampling the image.
My awesome README.md
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes