Longxi Zhou

According to our database, Longxi Zhou authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.

Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao

Comput. Biol. Medicine, February, 2024

Improving Representation of High-frequency Components for Medical Foundation Models.

Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Xin Gao

CoRR, 2024

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.

Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao

CoRR, 2024

2023

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare.

Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao

CoRR, 2023

Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model.

Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS.

Juexiao Zhou, Bin Zhang, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Meng-Ran Wang, Huanhuan Cui, Jingjing Li, Wei Chen, Xin Gao

Genom. Proteom. Bioinform., October, 2022

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.

Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao

Nat. Mach. Intell., 2022

2020

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.

Longxi Zhou, Zhongxiao Li, Juexiao Zhou, Haoyang Li, Yupeng Chen, Yuxin Huang, Dexuan Xie, Lintao Zhao, Ming Fan, Shahrukh Hashmi, Faisal Abdelkareem, Riham Eiada, Xigang Xiao, Lihua Li, Zhaowen Qiu, Xin Gao

IEEE Trans. Medical Imaging, 2020