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Hejia Zhang
Hejia Zhang
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Attention to automatic movements in Parkinson's disease: modified automatic mode in the striatum
T Wu, J Liu, H Zhang, M Hallett, Z Zheng, P Chan
Cerebral Cortex 25 (10), 3330-3342, 2015
1122015
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
M Kumar, CT Ellis, Q Lu, H Zhang, M Capotă, TL Willke, PJ Ramadge, ...
PLoS computational biology 16 (1), e1007549, 2020
522020
BrainIAK: the brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
382021
Transfer learning on fMRI datasets
H Zhang, PH Chen, P Ramadge
International conference on artificial intelligence and statistics, 595-603, 2018
382018
A convolutional autoencoder for multi-subject fMRI data aggregation
PH Chen, X Zhu, H Zhang, JS Turek, J Chen, TL Willke, U Hasson, ...
arXiv preprint arXiv:1608.04846, 2016
322016
Multitask metric learning: Theory and algorithm
B Wang, H Zhang, P Liu, Z Shen, J Pineau
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
212019
A searchlight factor model approach for locating shared information in multi-subject fMRI analysis
H Zhang, PH Chen, J Chen, X Zhu, JS Turek, TL Willke, U Hasson, ...
arXiv preprint arXiv:1609.09432, 2016
152016
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
MB Cai, M Shvartsman, A Wu, H Zhang, X Zhu
Neuropsychologia 144, 107500, 2020
132020
Segmenting brain tumors with symmetry
H Zhang, X Zhu, TL Willke
arXiv preprint arXiv:1711.06636, 2017
112017
Scale-and orientation-invariant keypoints in higher-dimensional data
B Rister, D Reiter, H Zhang, D Volz, M Horowitz, RE Gabr, JR Cavallaro
2015 IEEE International Conference on Image Processing (ICIP), 3490-3494, 2015
112015
System Design of Extreme Multi-label Query Classification using a Hybrid Model.
X Liu, H Zhang, M Liu, A Lu
eCOM@ SIGIR, 2019
32019
Machine learning for multi-subject fmri analysis
H Zhang
Princeton University, 2020
2020
BrainIAK Education: User-Friendly Tutorials for Advanced, Computationally-Intensive fMRI Analysis
M Kumar, CT Ellis, Q Lu, H Zhang, PJ Ramadge, KA Norman, ...
Transfer Learning on fMRI Datasets Supplementary Material
H Zhang, PH Chen, PJ Ramadge
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Articles 1–14