Implement Generative Adversarial Nets by Tensorflow

Patch-based 3D U-Net for brain tumor segmentation

COVID-19 Pneumonia Lesion segmentation network

If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.

[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

A Tensorflow implementation of SegNet for cardiac MRI segmentation

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

A deep learning framework for lung cancer prediction built with Lasagne/Theano

Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"

Python implementation of the SNIC superpixels algorithm

[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Seperable Convolution and Long Range Dependencies (MICCAI 2019)

The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"

[IEEE TIP 2021] COVID-CS Dataset and Code of JCS: An explainable COVID-19 diagnosis system by joint classification and segmentation

A Pytorch implementation of CVPR 2022 paper "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.

This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation".

MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

Source code for BOWDANet

Training Neural Networks Without Gradients: A ADMM Approach

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation (MICCAI 2022)

[Neurocomputing 2023] An official implementation of Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning