franciszchen
I am an assistant professor at CAIR-CAS, working on intelligent medical diagnosis.
Centre for Artificial Intelligence and Robotics (CAIR), Chinese Academy of SciencesHong Kong SAR
Pinned Repositories
I2GCN
[MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis
DNN-Pruning
A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication
IDC_Evaluation
The evaluation code of 'Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning' (TCAS-I 2020).
KroneckerProductCUDA
KroneckerProduct for matrix on GPU
PRR-FL
[MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
PRR-Imbalance
[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data
PTree-Net
The source code of 'Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring' (AAAI 2021).
SCA-Net
SRD-SAI
The source code of 'Super-Resolution Enhanced Medical Image Diagnosis with Sample Affinity Interaction' (TMI 2021).
SWD-Net
The source code and dataset of 'Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution' (MICCAI 2020).
franciszchen's Repositories
franciszchen/PTree-Net
The source code of 'Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring' (AAAI 2021).
franciszchen/SWD-Net
The source code and dataset of 'Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution' (MICCAI 2020).
franciszchen/SCA-Net
franciszchen/SRD-SAI
The source code of 'Super-Resolution Enhanced Medical Image Diagnosis with Sample Affinity Interaction' (TMI 2021).
franciszchen/IDC_Evaluation
The evaluation code of 'Deep Neural Network Acceleration Based on Low-Rank Approximated Channel Pruning' (TCAS-I 2020).
franciszchen/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
franciszchen/PRR-Imbalance
[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data
franciszchen/VLSurg-dataset
franciszchen/PRR-FL
[MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
franciszchen/Awesome-Federated-Learning
A collection of research papers categorized into broad topics in federated learning.
franciszchen/COVID-CT-Mask-Net
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
franciszchen/deep-learning-colonoscopy
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.
franciszchen/diagnosis_covid19
OpenCovidDetector is an opensource COVID-19 diagnosis system implementing on pytorch, which is also as presented in our paper: Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nat Commun 11, 5088 (2020).(https://doi.org/10.1038/s41467-020-18685-1)
franciszchen/doing_the_PhD
franciszchen/DSI-Net
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images, accepted by IEEE TMI
franciszchen/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
franciszchen/federated-learning
Federated Learning - PyTorch
franciszchen/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
franciszchen/fedpa
Federated posterior averaging implemented in JAX
franciszchen/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
franciszchen/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
franciszchen/franciszchen.github.io
Personal Webpage at https://franciszchen.github.io/
franciszchen/I2GCN
[MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis
franciszchen/machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
franciszchen/nnUNet
franciszchen/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
franciszchen/PyTorch-Model-Compare
Compare neural networks by their feature similarity
franciszchen/pytorch_ema
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
franciszchen/tool_snippet
franciszchen/wechat-feeds
给微信公众号生成 RSS 订阅源