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Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.

, , , , and . Neurocomputing, (2019)

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A Distributed Computing Platform for fMRI Big Data Analytics., , , , , , and . IEEE Trans. Big Data, 5 (2): 109-119 (2019)Template-guided Functional Network Identification via Supervised Dictionary Learning., , , , , , and . ISBI, page 72-76. IEEE, (2017)Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations., , , , and . IEEE BigData, page 2363-2367. IEEE Computer Society, (2016)Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder., , , , , , , and . Medical Image Anal., (2017)Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs)., , , , , , , , and . IEEE Trans. Cogn. Dev. Syst., 12 (3): 451-460 (2020)Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis., , , , , , , and . KDD, page 511-519. ACM, (2016)HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)., , , , , , , , and . Brain Informatics, 2 (4): 225-238 (2015)Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics., , , , and . Neurocomputing, (2019)Modeling Task fMRI Data Via Deep Convolutional Autoencoder., , , , , , , and . IEEE Trans. Medical Imaging, 37 (7): 1551-1561 (2018)Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)., , , , , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 181-189. Springer, (2018)