utayao

Atten_Deep_MIL

Attention-based Deep MIL implementation and application

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

academic-kickstart

uhn-radcure-challenge

Official repository of the 2020 UHN RADCURE challenge.

utayao.github.io

Academic website

AD-DL

Framework for the reproducible classification of Alzheimer's disease using deep learning

ANCIS-Pytorch

Attentive Neural Cell Instance Segmentation

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesomeCV

记录state-of-art计算机视觉相关论文。

CGC-Net

cell graph convolutional network

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

COVNet

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

DeepAttnMISL_MEDIA-1

Contain codes of MEDIA'20 paper

HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

MedicalZooPytorch

MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

MSINet

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

MultimodalPrognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

nnet-survival

A Simple Discrete-Time Survival Model for Neural Networks

NucleiSegmentation

cGAN-based Multi Organ Nuclei Segmentation

Patch-GCN

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

Pixel2MeshPlusPlus

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Radiomics-Predicting-Distant-Metastasi

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

SegLoss

A collection of loss functions for medical image segmentation

self-supervised-3d-tasks

snet

code for snet project

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

vision

Datasets, Transforms and Models specific to Computer Vision