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Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome.

, , , и . ISBI, стр. 978-981. IEEE, (2013)

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Yiping Zhu

Yongming Zhu

Zhu Dai

Changbao Zhu

Jiani Zhu

 

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Population learning of structural connectivity by white matter encoding and decoding., , , , , , и . ISBI, стр. 554-558. IEEE, (2016)Genetic Influence on Gyral Peaks., , , , , , , , , и . NeuroImage, (октября 2023)Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment., , и . ISBI, стр. 1039-1043. IEEE, (2020)Sparse representation of working memory processes based on fMRI data., , и . ISBI, стр. 584-587. IEEE, (2014)Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia., , , и . ISBI, стр. 325-328. IEEE, (2014)Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome., , , и . ISBI, стр. 978-981. IEEE, (2013)Discovering common functional connectomics signatures., , , , , , и . ISBI, стр. 620-623. IEEE, (2013)Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection., , , , , , , и . MBIA, том 8159 из Lecture Notes in Computer Science, стр. 180-188. Springer, (2013)Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN., , , , и . MICCAI (8), том 14227 из Lecture Notes in Computer Science, стр. 348-357. Springer, (2023)A Cascaded Multi-modality Analysis in Mild Cognitive Impairment., , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 557-565. Springer, (2019)