@inproceedings{23c30faaff57440e822f0c7a516e29c3,
title = "3D convolutional neural network for feature extraction and classification of fMRI volumes",
abstract = "Recently, deep learning (DL) techniques have been gaining interest in the neuroimaging community. In this study, we present 3D convolutional neural network (3D-CNN) as an end-To-end model to label a target task among four sensorimotor tasks for each functional magnetic resonance imaging (fMRI) volume. To the best of our knowledge, this is the first study that employs a single blood-oxygenation-level-dependent (BOLD) fMRI volume as the input of the 3D-CNN for task classification. We hypothesized that 3D-CNN has the capability to extract potentially shift-invariant features in local brain areas while preserving the overall spatial layout of the whole brain fMRI volume. We designed a 3D-CNN model by extending the LeNet-5 CNN for 2D image classification to 3D volume classification. The designed 3D-CNN model was thoroughly evaluated using BOLD fMRI volumes acquired from four sensorimotor tasks in terms of the classification performance and feature representations for each of the four sensorimotor tasks.",
keywords = "3D-CNN, Convolutional neural network (CNN), deep learning, fMRI, sensorimotor",
author = "Hanh Vu and Kim, {Hyun Chul} and Lee, {Jong Hwan}",
note = "Funding Information: National Research Foundation (NRF) Funding Information: This work was supported by the National Research Foundation (NRF) grant, MSIP of Korea (NRF-2015R1A2A2A03004462, NRF-2017R1E1A1A01077288, NRF-2016M3C7A1914450), in part by the grant of the Ministry of Education of the Republic of Korea and the NRF of Korea (NRF-2015S1A5B6036594), in part by a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Korea (HI12C1847), and in part by the ICT R&D program of MSIP/IITP [R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding]. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018 ; Conference date: 12-06-2018 Through 14-06-2018",
year = "2018",
month = jul,
day = "31",
doi = "10.1109/PRNI.2018.8423964",
language = "English",
isbn = "9781538668597",
series = "2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018",
}