Jianhong Cheng's repositories
3D-CycleGan-Pytorch-MedImaging
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
AMR-Benchmark
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
brain_mask
3D deep convolutional neural network based segmentation and brain masking tool for multi-modal brain MRI
D2Net
D2Net for brain tumor segmentation with missing modalities
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
fedavg.pytorch
A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
FedBN
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
lifelines
Survival analysis in Python
models
Models and examples built with TensorFlow
Patch-GCN
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
pycox
Survival analysis with PyTorch
research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
segtran
Medical Image Segmentation using Squeeze-and-Expansion Transformers
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
WSISA
Zhu, Xinliang, et al. "Wsisa: Making survival prediction from whole slide histopathological images." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.
WSISIA_
implement "WSISA: Making Survival Prediction from Whole Slide Histopathological Images"