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officefile

open_brats2020

Top 10 brats 2020 Solution

openpc

An open source multi-element generalized polynomial chaos toolbox for matlab

patch-gcn

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

pathomicfusion

Fusing Histology and Genomics via Deep Learning.

predict

pseudolabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

pycox

Survival analysis with PyTorch

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

radiomics

MATLAB programming tools for radiomics analysis

rast

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

roc_comparison

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

salmon---3d-medical-images-segmentation

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

segloss

A collection of loss functions for medical image segmentation

segmentation_boundry_loss

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

setr-pytorch

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

sjtu-courses

上海交通大学课程资料分享

sota-brain-tumor-segmentation

sota-medseg

SOTA medical image segmentation methods based on various challenges

transbts

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

tricks-of-semi-superviseddeepleanring-pytorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

unet-family

Paper and implementation of UNet-related model.

uqvi

Code for the paper Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation

vae

a simple vae and cvae from keras