Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.

B. Jie, M. Liu, and D. Shen. Medical Image Anal., (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Biao Feng

Biao Hu

Zhou Jie

Yucheng Jie

Biao Tian

Other publications of authors with the same name

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.J. Du, L. Wang, B. Jie, and D. Zhang. Comput. Medical Imaging Graph., (2016)Using outlier elimination to assess learning-based correspondence matching methods.X. Ding, Y. Luo, B. Jie, Q. Li, and Y. Cheng. Inf. Sci., (February 2024)Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.B. Jie, M. Liu, and D. Shen. Medical Image Anal., (2018)Multiagent evacuation framework for a virtual fire emergency scenario based on generative adversarial imitation learning.W. Zhou, W. Jiang, B. Jie, and W. Bian. Comput. Animat. Virtual Worlds, (2022)Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification.Z. Zhang, B. Jie, Z. Wang, J. Zhou, and Y. Yang. CoRR, (2022)Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition.Y. Shu, W. Li, D. Li, K. Gao, and B. Jie. PRCV (1), volume 14425 of Lecture Notes in Computer Science, page 16-28. Springer, (2023)Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification.K. Lin, B. Jie, P. Dong, X. Ding, W. Bian, and M. Liu. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 664-673. Springer, (2021)Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction.B. Cheng, D. Zhang, B. Jie, and D. Shen. MLMI, volume 8184 of Lecture Notes in Computer Science, page 251-259. Springer, (2013)Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.Y. Li, C. Wee, B. Jie, Z. Peng, and D. Shen. Neuroinformatics, 12 (3): 455-469 (2014)A Survey of the Methods on Fingerprint Orientation Field Estimation.W. Bian, D. Xu, Q. Li, Y. Cheng, B. Jie, and X. Ding. IEEE Access, (2019)

BibSonomy

Disambiguation of "Jie, Biao"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.

Please choose a person to relate this publication to

Biao Feng

Biao Hu

Zhou Jie

Yucheng Jie

Biao Tian

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jie, Biao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.

Please choose a person to relate this publication to

Biao Feng

Biao Hu

Zhou Jie

Yucheng Jie

Biao Tian

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.