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Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

M. Rahaman, J. Chen, Z. Fu, N. Lewis, A. Iraji, and V. Calhoun. EMBC, page 3267-3272. IEEE, (2021)

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Zhendong Fu

Lei Fu

Qiang Fu

Ganhua Fu

Yunjiao Fu

Other publications of authors with the same name

Connectome-based individualized prediction of temperament trait scores.R. Jiang, V. Calhoun, N. Zuo, D. Lin, J. Li, L. Fan, S. Qi, H. Sun, Z. Fu, M. Song and 2 other author(s). NeuroImage, (2018)Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.L. Zhang, Z. Fu, W. Zhang, G. Huang, Z. Liang, L. Li, B. Biswal, V. Calhoun, and Z. Zhang. Neurocomputing, (2021)A Deep Learning Model for Data-Driven Discovery of Functional Connectivity.U. Mahmood, Z. Fu, V. Calhoun, and S. Plis. Algorithms, 14 (3): 75 (2021)Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks.W. Yan, Z. Fu, R. Jiang, J. Sui, and V. Calhoun. IEEE Trans. Biomed. Eng., 71 (4): 1170-1178 (April 2024)A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction.Y. Tu, Z. Fu, A. Tan, G. Huang, L. Hu, Y. Hung, and Z. Zhang. Neurocomputing, (2018)Learnt dynamics generalizes across tasks, datasets, and populations.U. Mahmood, M. Rahman, A. Fedorov, Z. Fu, V. Calhoun, and S. Plis. CoRR, (2019)Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.T. DeRamus, A. Iraji, Z. Fu, R. Silva, J. Stephen, T. Wilson, Y. Wang, Y. Du, J. Liu, and V. Calhoun. BIBE, page 1-6. IEEE, (2021)Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders.M. Salman, E. Verner, H. Bockholt, Z. Fu, and V. Calhoun. BIBE, page 1-6. IEEE, (2021)Fusing multimodal neuroimaging data with a variational autoencoder.E. Geenjaar, N. Lewis, Z. Fu, R. Venkatdas, S. Plis, and V. Calhoun. EMBC, page 3630-3633. IEEE, (2021)An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.M. Zhao, W. Yan, N. Luo, D. Zhi, Z. Fu, Y. Du, S. Yu, T. Jiang, V. Calhoun, and J. Sui. Medical Image Anal., (2022)

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Disambiguation of "Fu, Zening"

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Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Please choose a person to relate this publication to

Zhendong Fu

Lei Fu

Qiang Fu

Ganhua Fu

Yunjiao Fu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fu, Zening"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Please choose a person to relate this publication to

Zhendong Fu

Lei Fu

Qiang Fu

Ganhua Fu

Yunjiao Fu

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
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Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.