Literature DB >> 32272117

Deep learning methods and applications in neuroimaging.

Jing Sui1, MingXia Liu2, Jong-Hwan Lee3, Jun Zhang4, Vince Calhoun5.   

Abstract

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Year:  2020        PMID： 32272117      PMCID： PMC9245029          DOI： 10.1016/j.jneumeth.2020.108718

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN： 0165-0270            Impact factor:   2.987


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  18 in total

1.  A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.

Authors:  Fan Li; Manhua Liu
Journal:  J Neurosci Methods       Date:  2019-05-25       Impact factor: 2.390

2.  A visual encoding model based on deep neural networks and transfer learning for brain activity measured by functional magnetic resonance imaging.

Authors:  Chi Zhang; Kai Qiao; Linyuan Wang; Li Tong; Guoen Hu; Ru-Yuan Zhang; Bin Yan
Journal:  J Neurosci Methods       Date:  2019-06-27       Impact factor: 2.390

3.  DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI.

Authors:  Atif Riaz; Muhammad Asad; Eduardo Alonso; Greg Slabaugh
Journal:  J Neurosci Methods       Date:  2020-01-27       Impact factor: 2.390

4.  Test-retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network.

Authors:  Hyun-Chul Kim; Hojin Jang; Jong-Hwan Lee
Journal:  J Neurosci Methods       Date:  2019-10-15       Impact factor: 2.390

5.  Transfer learning of deep neural network representations for fMRI decoding.

Authors:  Michele Svanera; Mattia Savardi; Sergio Benini; Alberto Signoroni; Gal Raz; Talma Hendler; Lars Muckli; Rainer Goebel; Giancarlo Valente
Journal:  J Neurosci Methods       Date:  2019-10-01       Impact factor: 2.390

6.  Early prediction of epileptic seizures using a long-term recurrent convolutional network.

Authors:  Xiaoyan Wei; Lin Zhou; Zhen Zhang; Ziyi Chen; Yi Zhou
Journal:  J Neurosci Methods       Date:  2019-08-10       Impact factor: 2.390

7.  Multi-Hypergraph Learning for Incomplete Multimodality Data.

Authors:  Mingxia Liu; Yue Gao; Pew-Thian Yap; Dinggang Shen
Journal:  IEEE J Biomed Health Inform       Date:  2017-07-26       Impact factor: 5.772

8.  Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.

Authors:  Weizheng Yan; Vince Calhoun; Ming Song; Yue Cui; Hao Yan; Shengfeng Liu; Lingzhong Fan; Nianming Zuo; Zhengyi Yang; Kaibin Xu; Jun Yan; Luxian Lv; Jun Chen; Yunchun Chen; Hua Guo; Peng Li; Lin Lu; Ping Wan; Huaning Wang; Huiling Wang; Yongfeng Yang; Hongxing Zhang; Dai Zhang; Tianzi Jiang; Jing Sui
Journal:  EBioMedicine       Date:  2019-08-13       Impact factor: 8.143

9.  Decentralized distribution-sampled classification models with application to brain imaging.

Authors:  Noah Lewis; Harshvardhan Gazula; Sergey M Plis; Vince D Calhoun
Journal:  J Neurosci Methods       Date:  2019-10-17       Impact factor: 2.390

10.  Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion.

Authors:  Jing Sui; Shile Qi; Theo G M van Erp; Juan Bustillo; Rongtao Jiang; Dongdong Lin; Jessica A Turner; Eswar Damaraju; Andrew R Mayer; Yue Cui; Zening Fu; Yuhui Du; Jiayu Chen; Steven G Potkin; Adrian Preda; Daniel H Mathalon; Judith M Ford; James Voyvodic; Bryon A Mueller; Aysenil Belger; Sarah C McEwen; Daniel S O'Leary; Agnes McMahon; Tianzi Jiang; Vince D Calhoun
Journal:  Nat Commun       Date:  2018-08-02       Impact factor: 14.919
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  1 in total

1.  A deep learning based approach identifies regions more relevant than resting-state networks to the prediction of general intelligence from resting-state fMRI.

Authors:  Bruno Hebling Vieira; Julien Dubois; Vince D Calhoun; Carlos Ernesto Garrido Salmon
Journal:  Hum Brain Mapp       Date:  2021-09-29       Impact factor: 5.038
  1 in total

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