YangNe

cs-self-learning

计算机自学指南

WiMSE

A collection of jupyter notebooks designed to provide a comprehensive exploration of concepts related to white matter segmentation.

ISBI2023-One-Shot-WM-Tract-Segmentation

ISBI 2023 - A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation with Only One Annotated Subject

tract-segmentation

app-classifyber

Code of Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.

MICCAI2022_paper_with_code

MICCAI 2022 Paper with Code

medical-imaging-datasets

A list of Medical imaging datasets.

StillGAN

Structure and Illumination Constrained GAN forMedical Image Quality Enhancement

wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

ML-SRT

Machine learning methods for spatially resolved transcriptomics with histology images: a collection of related resources.

MEDIA_CycleMorph

matplotx

:bar_chart: More styles and useful extensions for Matplotlib

JBHI

brainrender

a python based software for visualization of neuroanatomical and morphological data.

SpaGCN

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

TractSeg

Automatic White Matter Bundle Segmentation

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

CA-Net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

BrainNetClass

RSTNN

Implementation of "Deep recurrent spatio-temporal neural network for motor imagery based BCI"

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

garnn

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

vagan-code

Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'

plaquebox-paper

Repo for Tang et al, bioRxiv 454793 (2018)

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

HEnorm_python

H&E histopathological staining normalization

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Awesome-CVPR-Paper

CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章