jyhmiinlin

CellSegmentation

PyTorch implementation of several neural network models for cellular image segmentation

Cuda-Find-Max-Using-Parallel-Reduction

Benchmarks different cuda implementations of maximum-value algorithms. Uses Parallel Reduction design pattern.

framework

The GPI framework provides the canvas for graphically assembling algorithms.

FusionNet-Pytorch

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

Hybrid-CS-Model-MRI

Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.

isbi19-tutorial

Code for ISBI'19 Tutorial

ismrm19_challenge

Here we tackle the SENSE paper

jyhmiinlin.github.io

mrrt.nufft

Non-Uniform FFT on the CPU and GPU (1D, 2D and 3D)

pynufft-feedstock

A conda-smithy repository for pynufft.

jyhmiinlin/jyhmiinlin.github.io

jyhmiinlin/CellSegmentation

PyTorch implementation of several neural network models for cellular image segmentation

jyhmiinlin/Cuda-Find-Max-Using-Parallel-Reduction

Benchmarks different cuda implementations of maximum-value algorithms. Uses Parallel Reduction design pattern.

jyhmiinlin/framework

The GPI framework provides the canvas for graphically assembling algorithms.

jyhmiinlin/FusionNet-Pytorch

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

jyhmiinlin/Hybrid-CS-Model-MRI

Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.

jyhmiinlin/isbi19-tutorial

Code for ISBI'19 Tutorial

jyhmiinlin/ismrm19_challenge

Here we tackle the SENSE paper

jyhmiinlin/mrrt.nufft

Non-Uniform FFT on the CPU and GPU (1D, 2D and 3D)

jyhmiinlin/pynufft-feedstock

A conda-smithy repository for pynufft.

jyhmiinlin/pytorch-unet-segmentation

jyhmiinlin/torchkbnufft

A robust, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

jyhmiinlin/Toy_CS_examople

just testing case