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3d_critical_points_detector

Critical Points Calculator Modules for ISURE Program

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

cg23-nervi

cga21-vfr

PyTorch implementation for "Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising"

cmt_cnn-meet-vision-transformer

A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.

contnet

This repo contains the code of "ConTNet: Why not use convolution and transformer at the same time?"

cotr

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

deeplab-v3-plus-cityscapes

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

dmt_loss

DMT codes for the ICLR 2021 paper: Topology-Aware Segmentation Using Discrete Morse Theory

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gcmae

PyTorch implementation of GCMAE

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

med2image

Converts medical images to more displayable formats, e.g. NIfTI to jpg.

medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

mixmatch

Pytorch reproduction of the experiment in the paper of MixMatch.

monai

AI Toolkit for Healthcare Imaging

pgu-nd.github.io

pvis22-s2v

PyTorch implementation for "Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning"

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch-topological

A topological machine learning framework based on PyTorch

selfsup

shapr_torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

test

tmi_multi-contrast-registration

A coarse-to-fine deformable transformation framework for unsupervised multi-contrast MR image registration with dual consistency constraint

topograd

Topological Priors for Image segmentation

topological-autoencoders

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

topoloss

C++ topological loss code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

unet_hippocampus

implementation of basic Unit, including data preprocessing, data_loader, and etc.

unetr_plus_plus

UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation