Huiyu LI

Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes ?

Huiyu-Li, Nicholas Ayache, Hervé Delingette*

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health. DeCaF FAIR, 2022

arXiv

                                @inproceedings{li2022data,
                                    title={Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?},
                                    author={Li, Huiyu and Ayache, Nicholas and Delingette, Herv{\'e}},
                                    booktitle={International Workshop on Distributed, Collaborative, and Federated Learning},
                                    pages={28--36},
                                    year={2022},
                                    organization={Springer}
                                    }

Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation

Huiyu LI, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma

International Workshop on Machine Learning in Medical Imaging, 2020

Code

                                @inproceedings{li2020deep,
                                    title={Deep distance map regression network with shape-aware loss for imbalanced medical image segmentation},
                                    author={Li, Huiyu and Liu, Xiabi and Boumaraf, Said and Gong, Xiaopeng and Liao, Donghai and Ma, Xiaohong},
                                    booktitle={Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 11},
                                    pages={231--240},
                                    year={2020},
                                    organization={Springer}
                                  }

A New Three-stage Curriculum Learning Approach to Deep Network based Liver Tumor Segmentation

Huiyu LI, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

International Joint Conference on Neural Networks (IJCNN), 2020

arXiv

code

                                @inproceedings{li2020new,
                                    title={A new three-stage curriculum learning approach for deep network based liver tumor segmentation},
                                    author={Li, Huiyu and Liu, Xiabi and Boumaraf, Said and Liu, Weihua and Gong, Xiaopeng and Ma, Xiaohong},
                                    booktitle={2020 International Joint Conference on Neural Networks (IJCNN)},
                                    pages={1--6},
                                    year={2020},
                                    organization={IEEE}
                                  }

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data

Huiyu LI, Sheng-Jun Li, Junliang Shang*, Jin-Xing Liu, Chun-Hou Zheng

Journal of Computational Biology, 2018

paper

code

                                @article{li2019dynamic,
                                    title={A dynamic scale-free network particle swarm optimization for extracting features on multi-omics data},
                                    author={Li, Huiyu and Li, Sheng-Jun and Shang, Junliang and Liu, Jin-Xing and Zheng, Chun-Hou},
                                    journal={Journal of Computational Biology},
                                    volume={26},
                                    number={8},
                                    pages={769--781},
                                    year={2019},
                                    publisher={Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…}
                                  }

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-Omics Features

Huiyu LI, Sheng-Jun Li*, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng

International Symposium on Bioinformatics Research and Applications, 2018