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ORCIDHe Zhang 0023
Person information
- affiliation: Fudan University, Department of Radiology, Obstetrics and Gynecology Hospital, Shanghai, China
Other persons with the same name
- He Zhang — disambiguation page
- He Zhang 0001
![[0000-0002-9159-5331]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9159-5331")
(aka: He Jason Zhang) — Nanjing University, Software Institute, State Key Laboratory of Novel Software Technology, China (and 3 more) - He Zhang 0002 — Nanjing University of Science and Technology, School of Automation, China (and 1 more)
- He Zhang 0003 — Chinese Academy of Sciences, Institute of Semiconductors, State Key Laboratory on Integrated Optoelectronics, Beijing, China
- He Zhang 0004 — Adobe Inc., San Jose, CA, USA (and 1 more)
- He Zhang 0005 — Chinese Academy of Sciences, Institute of Atmospheric Physics, International Center for Climate and Environment Sciences, China
- He Zhang 0006 — Harbin Institute of Technology, Department of Electrical Engineering, China
- He Zhang 0007 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- He Zhang 0008 — Chang'an University, Xi'an, China
- He Zhang 0009 — Aalto University, Helsinki, Finland
- He Zhang 0010 — Monash University, Faculty of Information Technology, Australia
- He Zhang 0011 — Beihang University, Fert Beijing Insitute, MIIT Key Laboratory of Spintronics, Beijing, China
- He Zhang 0012 — Monash University, Faculty of Information Technology, IT, Clayton, VIC, Australia
- He Zhang 0013 — University of Nottingham Ningbo China, Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, China (and 1 more)
- He Zhang 0014 — Harbin Institute of Technology, School of Mechatronics Engineering, Harbin, Heilongjiang, China (and 2 more)
- He Zhang 0015 — Tsinghua University, Beijing National Research Center for Information Science and Technology, China (and 1 more)
- He Zhang 0016 — Harbin University of Science and Technology, School of Mechanical and Power Engineering, Harbin, Heilongjiang
- He Zhang 0017 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- He Zhang 0018 — Nanjing University of Science and Technology, Ministerial Key Laboratory of ZNDY, School of Mechanical Engineering, China (and 1 more)
- He Zhang 0019 — Hunan University, School of Design, Changsha, China
- He Zhang 0020 — University of Texas Southwestern Medical Center, Department of Population and Data Sciences, Dallas, TX, USA (and 2 more)
- He Zhang 0021 — Sun Yat-sen University, School of Geospatial Engineering and Science, Zhuhai, China (and 1 more)
- He Zhang 0022 — Tongji University, Department of Traffic Engineering, Shanghai, China
- He Zhang 0024 — University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (and 1 more)
- He Zhang 0025 — Baidu Research USA, Sunnyvale, CA, USA (and 1 more)
- He Zhang 0026 — Shenyang University of Technology, College of Information Science and Engineering, China
- He Zhang 0027 — Thomas Jefferson National Accelerator Facility, Newport News, VA, US
- He Zhang 0028 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- He Zhang 0029 — Zhejiang University, School of Mechanical Engineering, Hangzhou, China (and 1 more)
- He Zhang 0030 — Hong Kong University of Science and Technology, Thrust of Artificial Intelligence, Shanghai AI Lab, Guangzhou, China
- He Zhang 0031 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 1 more)
- He Zhang 0032 — Zhejiang University, College of Civil Engineering and Architecture, Center for Balance Architecture, Hangzhou, China
- He Zhang 0033 — Tsinghua University, Future Laboratory, Beijing, China (and 1 more)
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2020 – today
- 2025
[j6]Jian Chen, Mengting Guang, Geng Chen, Xiong Yao, Tewodros Megabiaw Tassew, Zhen Li, Zuoyong Li, He Zhang:
NRD-Net: Non-local Residual Dense Network for Brain MR Image Super-Resolution. Int. J. Imaging Syst. Technol. 35(1) (2025)- [c13]Sheng Wei, Song Qiu, Mei Zhou, He Zhang, Yan Wang, Qingli Li:
Self-Prompting Driven SAM2 for 3D Medical Image Segmentation. ICASSP 2025: 1-5 - [c12]Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li:
Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction. PIPPI@MICCAI 2025: 26-35 - 2024
- [j5]Jian Chen, Ranlin Lu, Bin Jing, He Zhang, Geng Chen, Dinggang Shen:
One model, two brains: Automatic fetal brain extraction from MR images of twins. Comput. Medical Imaging Graph. 112: 102330 (2024) - [j4]Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li:
A joint brain extraction and image quality assessment framework for fetal brain MRI slices. NeuroImage 290: 120560 (2024) - [j3]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes. IEEE Trans. Biomed. Eng. 71(4): 1404-1415 (2024) - [j2]Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li:
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. IEEE Trans. Medical Imaging 43(3): 1006-1017 (2024) - [c11]Yao Lv, Junpeng Tan, Shengxian Chen, He Zhang, Wenjun Cheng, Chaoxiang Yang, Xiangming Xu, Xin Zhang:
Two-Stage Implicit Representation Reconstruction with Iterative Registration and Double-Channel Encoder for Fetal MRI. ISBI 2024: 1-5 - [c10]Laifa Ma, Weili Lin, He Zhang, Gang Li:
Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. ISBI 2024: 1-5 - [c9]Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li:
Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. MICCAI (7) 2024: 212-222 - [c8]Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang, Gang Li, Xiangmin Xu:
Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation. MICCAI (7) 2024: 329-339 - 2023
- [c7]Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen:
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. IPMI 2023: 428-441 - [c6]Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li:
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI 2023: 1-5 - [c5]Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang, He Zhang, Chaoxiang Yang, Gang Li:
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation. MLMI@MICCAI (1) 2023: 424-433 - [i2]Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen:
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes. CoRR abs/2308.06762 (2023) - 2022
- [i1]He Zhang, Ran Zhang, Tao Zhou:
Learning high dimensional stochastic partial differential equations in a predictor-corrector framework. CoRR abs/2208.09883 (2022) - 2021
- [j1]Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang:
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. Comput. Medical Imaging Graph. 88: 101848 (2021) - [c4]Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li:
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) 2021: 239-248 - [c3]Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen:
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) 2021: 584-593 - 2020
- [c2]Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li:
Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. ISBI 2020: 424-427 - [c1]Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424
Coauthor Index
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