recurrent neural network

Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition

Author(s): Qing Li, Wei Zhang, Xia Wu, Tianming Liu
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition 452 480 IEEE Transactions on Biomedical Engineering (TBME)
Using deep neural networks (DNNs) to decompose spatiotemporal brain network has been an important yet challenging problem because the architectures are hard to be designed manually. The previous studies, e.g., deep sparse recurrent auto-encoder (DSRAE), are not optimal in various senses. We employ the evolutionary algorithms to optimize the architecture of DSRAE, named eNAS-DSRAE (i.e., evolutionary Neural Architecture Search on DSRAE). With the validation experiments, our framework can successfully identify the spatiotemporal features and perform better than the hand-crafted DNNs. To our best knowledge, the proposed eNAS-DSRAE is among the earliest NAS models that can extract meaningful spatiotemporal brain networks. read more

Toward Safe Retinal Microsurgery: Development and Evaluation of an RNN-based Active Interventional Control Framework

Author(s): Changyan He, Niravkumar Patel, Mahya Shahbazi, Yang Yang, Peter Gehlbach, Marin Kobilarov, Iulian Iordachita
Toward Safe Retinal Microsurgery: Development and Evaluation of an RNN-based Active Interventional Control Framework 170 178 IEEE Transactions on Biomedical Engineering (TBME)

Retinal surgery is an excellent example of a high-demand dexterity procedure that may benefit from robotic systems. However, due to an incomplete understanding of a surgeon’s imminent intentional manipulations, the…

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Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network

Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network

Author(s): Yueming Wang, Kang Lin, Yu Qi, Qi Lian, Shaozhe Feng, Gang Pan, Zhaohui Wu
Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g. epilepsy foci diagnosis. Granger causality is an effective tool…

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