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Deep Variational Autoencoder for Mapping Functional Brain Networks.

N. Qiang, Q. Dong, F. Ge, H. Liang, B. Ge, S. Zhang, Y. Sun, J. Gao, and T. Liu. IEEE Trans. Cogn. Dev. Syst., 13 (4): 841-852 (2021)

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Qinglin Zheng

Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der MausM. Döngi. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximationD. Chen. TU München, (2009)

Dieter Dönges

Manfred Dönges

Other publications of authors with the same name

Deep Variational Autoencoder for Mapping Functional Brain Networks.N. Qiang, Q. Dong, F. Ge, H. Liang, B. Ge, S. Zhang, Y. Sun, J. Gao, and T. Liu. IEEE Trans. Cogn. Dev. Syst., 13 (4): 841-852 (2021)3-D functional brain network classification using Convolutional Neural Networks.D. Ren, Y. Zhao, H. Chen, Q. Dong, J. Lv, and T. Liu. ISBI, page 1217-1221. IEEE, (2017)Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).Q. Dong, N. Qiang, J. Lv, X. Li, T. Liu, and Q. Li. MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 498-507. Springer, (2020)Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.W. Zhang, L. Zhao, Q. Li, S. Zhao, Q. Dong, X. Jiang, T. Zhang, and T. Liu. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 745-753. Springer, (2019)Discovering hierarchical common brain networks via multimodal deep belief network.S. Zhang, Q. Dong, W. Zhang, H. Huang, D. Zhu, and T. Liu. Medical Image Anal., (2019)Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.F. Ge, S. Zhang, H. Huang, X. Jiang, Q. Dong, L. Guo, X. Wang, and T. Liu. ISBI, page 1585-1589. IEEE, (2019)Task fMRI Guided Fiber Clustering via a Deep Clustering Method.H. Wang, Q. Dong, N. Qiang, X. Zhang, T. Liu, and B. Ge. ISBI, page 1420-1423. IEEE, (2020)Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.N. Qiang, Q. Dong, Y. Sun, B. Ge, and T. Liu. ISBI, page 554-557. IEEE, (2020)Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.Q. Li, Q. Dong, F. Ge, N. Qiang, Y. Zhao, H. Wang, H. Huang, X. Wu, and T. Liu. IPMI, volume 11492 of Lecture Notes in Computer Science, page 579-591. Springer, (2019)Modeling Task fMRI Data Via Deep Convolutional Autoencoder.H. Huang, X. Hu, Y. Zhao, M. Makkie, Q. Dong, S. Zhao, L. Guo, and T. Liu. IEEE Trans. Medical Imaging, 37 (7): 1551-1561 (2018)

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Disambiguation of "Dong, Qinglin"

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Deep Variational Autoencoder for Mapping Functional Brain Networks.

Please choose a person to relate this publication to

Qinglin Zheng

Michael Döngi

Dong Chen

Dieter Dönges

Manfred Dönges

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dong, Qinglin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Variational Autoencoder for Mapping Functional Brain Networks.

Please choose a person to relate this publication to

Qinglin Zheng

Michael Döngi

Dong Chen

Dieter Dönges

Manfred Dönges

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Deep Variational Autoencoder for Mapping Functional Brain Networks.