Hejia Zhang
Hejia Zhang
princeton.edu의 이메일 확인됨
제목
인용
인용
연도
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
822015
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
232016
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
212020
Transfer learning on fMRI datasets
H Zhang, PH Chen, P Ramadge
International Conference on Artificial Intelligence and Statistics, 595-603, 2018
172018
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
112016
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
92019
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
82015
Segmenting brain tumors with symmetry
H Zhang, X Zhu, TL Willke
arXiv preprint arXiv:1711.06636, 2017
72017
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
42020
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
42020
System Design of Extreme Multi-label Query Classification using a Hybrid Model.
X Liu, H Zhang, M Liu, A Lu
eCOM@ SIGIR, 2019
12019
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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학술자료 1–14