He Zhang

According to our database, He Zhang authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

Laplacian-guided contextual instance learning for whole slide image classification.

Jian Chen, Ziyuan Chen, Geng Chen, Mengyu Liu, Sohaib Asif, He Zhang, Jun Jin

Eng. Appl. Artif. Intell., 2026

2025

NRD-Net: Non-local Residual Dense Network for Brain MR Image Super-Resolution.

Jian Chen, Mengting Guang, Geng Chen, Xiong Yao, Tewodros Megabiaw Tassew, Zhen Li, Zuoyong Li, He Zhang

Int. J. Imaging Syst. Technol., January, 2025

Development and Validation of an Explainable MRI-Based Habitat Radiomics Model for Predicting p53-Abnormal Endometrial Cancer: A Multicentre Feasibility Study.

Wentao Jin, Hao Zhang, Yan Ning, Xiaojun Chen, Guofu Zhang, Haiming Li, He Zhang

J. Imaging Inform. Medicine, 2025

Surface-Guided Construction of 4D Volumetric Atlases of Fetal Brains.

Kaibo Tang, Xiuyu Dong, Zhengwang Wu, Laifa Ma, Sheng-Che Hung, He Zhang, Weili Lin, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction.

Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

Self-Prompting Driven SAM2 for 3D Medical Image Segmentation.

Sheng Wei, Song Qiu, Mei Zhou, He Zhang, Yan Wang, Qingli Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes.

Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen

IEEE Trans. Biomed. Eng., April, 2024

PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.

Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li

IEEE Trans. Medical Imaging, March, 2024

A joint brain extraction and image quality assessment framework for fetal brain MRI slices.

Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li

NeuroImage, 2024

One model, two brains: Automatic fetal brain extraction from MR images of twins.

Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen

Comput. Medical Imaging Graph., 2024

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation.

Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang, Gang Li, Xiangmin Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction.

Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning.

Laifa Ma, Weili Lin, He Zhang, Gang Li

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Two-Stage Implicit Representation Reconstruction with Iterative Registration and Double-Channel Encoder for Fetal MRI.

Yao Lv, Junpeng Tan, Shengxian Chen, He Zhang, Wenjun Cheng, Chaoxiang Yang, Xiangming Xu, Xin Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation.

Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang, He Zhang, Chaoxiang Yang, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images.

Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge.

Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Learning high dimensional stochastic partial differential equations in a predictor-corrector framework.

He Zhang, Ran Zhang, Tao Zhou

CoRR, 2022

2021

Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework.

Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang

Comput. Medical Imaging Graph., 2021

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images.

Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.

Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.

Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction.

Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020