44 citations · 47 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 44 cited
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Yu Zhao, Xiang Li, Wei Zhang +5
Simultaneous modeling of the spatio-temporal variation patterns of brain functional network from 4D fMRI data has been an important yet challenging problem for the field of cogniti…
cs.DC2017★ 1 cited
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Milad Makkie, Heng Huang, Yu Zhao +2
In recent years, analyzing task-based fMRI (tfMRI) data has become an essential tool for understanding brain function and networks. However, due to the sheer size of tfMRI data, it…
cs.DS2017★ 2 cited
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics
Milad Makkie, Xiang Li, Binbin Lin +4
The use of functional brain imaging for research and diagnosis has benefitted greatly from the recent advancements in neuroimaging technologies, as well as the explosive growth in…