Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks-Reference-Cited by-同舟云学术

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Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks

Published:2019-12 Issue: Volume:115 Page:103528
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Son Seong-Jin,Park Bo-yong,Byeon Kyoungseob,Park Hyunjin

Funder

Institute for Basic Science

National Research Foundation of Korea

Ministry of Science and ICT of Korea

IITP

Korean government

Korea Institute for Advancement of Technology

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference65 articles.

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2. Magnetic resonance imaging: principles and techniques: lessons for clinicians;Grover;J. Clin. Exp. Hepatol.,2015

3. Principles of diffusion tensor imaging and its applications to basic neuroscience research;Mori;Neuron,2006

4. Principles and practice of functional MRI of the human brain;Gore;J. Clin. Investig.,2003

5. Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders;Liu;Brain Inf.,2015

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