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ORCIDDan Hu 0004
Person information
- affiliation: University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Other persons with the same name
- Dan Hu — disambiguation page
- Dan Hu 0001
![[0009-0002-9602-5714]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0002-9602-5714")
— North University of China, Taiyuan, China - Dan Hu 0002 — Anhui University, Hefei, Anhui, China
- Dan Hu 0003 — Shanghai Jiao Tong University, Shanghai, China
- Dan Hu 0005 — Wuhan University of Science and Technology, Wuhan, Hubei, China
- Dan Hu 0006 — Meta, Redmond, WA, USA
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2020 – today
- 2026
[j11]Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Xiaowei Yu, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy. Medical Image Anal. 108: 103860 (2026)- 2025
- [c21]Jiale Cheng, Dan Hu, Zhengwang Wu, Xinrui Yuan, Gang Li:
Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning. ISBI 2025: 1-5 - [c20]Jiale Cheng, Fenqiang Zhao, Dan Hu, Chao Cao, Zhengwang Wu, Xinrui Yuan, Kangfu Han, Lu Zhang, Tianming Liu, Dajiang Zhu, Gang Li:
Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. ISBI 2025: 1-5 - [c19]Kangfu Han, Dan Hu, Jiale Cheng, Tianming Liu, Andrea Bozoki, Dajiang Zhu, Gang Li:
Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome. ISBI 2025: 1-4 - [c18]Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Individualized Trajectory Prediction of Early Developing Functional Connectivity. ISBI 2025: 1-5 - [c17]Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy. ISBI 2025: 1-5 - [c16]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 - [c15]Xiuyu Dong, Kaibo Tang, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI. MICCAI (2) 2025: 303-313 - [c14]Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Kangfu Han, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Joint Motion Correction of Multi-Atlas Functional Connectivity During Infancy. MLMI@MICCAI 2025: 20-29 - [c13]Jiale Cheng, Dan Hu, Kangfu Han, Weiran Xia, Xinrui Yuan, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Relation-Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population-Level Consistency. MLMI@MICCAI 2025: 626-636 - 2024
- [c12]Dan Hu, Kangfu Han, Jiale Cheng, Gang Li:
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans. MICCAI (2) 2024: 88-98 - [c11]Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. MICCAI (5) 2024: 447-457 - 2022
- [j10]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li:
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - [j9]Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li:
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Trans. Medical Imaging 41(10): 2764-2776 (2022) - [c10]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - 2021
- [j8]Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [j7]Zhengang Zhao, Dan Hu, Hao Wang, Xianchuan Yu:
Center Attention Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3415-3425 (2021) - [c9]Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li:
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) 2021: 139-149 - [c8]Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li:
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. MLMI@MICCAI 2021: 228-237 - [c7]Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li:
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) 2021: 231-240 - 2020
- [j6]Dan Hu, Tao Jiang, Xianchuan Yu:
Construction of non-convex fuzzy sets and its application. Neurocomputing 393: 175-186 (2020) - [j5]Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020) - [j4]Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [c6]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c5]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656
2010 – 2019
- 2019
- [c4]Ying Zhan, Yasmine Medjadba, Guian Wang, Xianchuan Yu, Jin Qin, Tao Huang, Kang Wu, Dan Hu, Zhengang Zhao, Yuntao Wang, Ying Cao, RunCheng Jiao:
Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting Mechanism. IGARSS 2019: 811-814 - [c3]Jin Qin, Yuntao Wang, RunCheng Jiao, Dan Hu, Yuanfei Zhang, Xianchuan Yu, Ying Zhan, Cong Dai, Wang Yao, Kang Wu, Wei Liu, Ying Cao, Xi Zhang, Yasmine Medjadba:
Geologic Body Classification of Hyperspectral Data Based on Dilated Convolution Neural Network at Tianshan Area. IGARSS 2019: 2985-2988 - [c2]Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157 - [c1]Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen:
Early Development of Infant Brain Complex Network. MICCAI (2) 2019: 832-840 - 2018
- [j3]Ying Zhan, Dan Hu, Yuntao Wang, Xianchuan Yu:
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 15(2): 212-216 (2018) - 2017
- [j2]Ying Zhan, Dan Hu, Haihua Xing, Xianchuan Yu:
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density. IEEE Geosci. Remote. Sens. Lett. 14(12): 2365-2369 (2017) - [j1]Dan Hu, Xianchuan Yu, Jiayin Wang:
Statistical Inference in Rough Set Theory Based on Kolmogorov-Smirnov Goodness-of-Fit Test. IEEE Trans. Fuzzy Syst. 25(4): 799-812 (2017)
Coauthor Index
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