Fangmei Zhu

According to our database, Fangmei Zhu authored at least 7 papers between 2016 and 2026.

Collaborative distances:

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

2026

Semi-supervised Fetal Brain Parcellation via Hierarchical Learning Framework.

Shijie Huang, Kai Zhang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen

Medical Image Anal., 2026

2025

New heights in CT differentiation of adrenal lesions and a rational definition of non-enhancement.

Lichun Liu, Fangmei Zhu, Zongfeng Niu, Zongyu Xie, Dengfa Yang, Jian Wang, Cheng Yan

BMC Medical Imaging, December, 2025

Development-Driven Diffusion Model for Longitudinal Prediction of Fetal Brain MRI With Unpaired Data.

Kai Zhang, Geng Chen, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Dinggang Shen

IEEE Trans. Medical Imaging, September, 2025

2024

Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective.

Kai Zhang, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss.

Shijie Huang, Kai Zhang, Jiawei Huang, Lingnan Kong, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

2023

Machine learning for predicting the risk stratification of 1-5 cm gastric gastrointestinal stromal tumors based on CT.

Cui Zhang, Jian Wang, Yang Yang, Bailing Dai, Zhihua Xu, Fangmei Zhu, Huajun Yu

BMC Medical Imaging, December, 2023

2016

PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI.

Huiyuan Huang, Zhongxiang Ding, Dewang Mao, Jianhua Yuan, Fangmei Zhu, Shuda Chen, Yan Xu, Lin Lou, Xiaoyan Feng, Le Qi, Wusi Qiu, Han Zhang, Yufeng Zang

Neuroinformatics, 2016