Literature DB >> 30296563

Machine learning in neuroimaging: Progress and challenges.

Christos Davatzikos1.   

Abstract

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Year:  2018        PMID： 30296563      PMCID： PMC6499712          DOI： 10.1016/j.neuroimage.2018.10.003

Source DB:  PubMed          Journal:  Neuroimage        ISSN： 1053-8119            Impact factor:   6.556


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  31 in total

1.  Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers.

Authors:  Nikolaos Koutsouleris; Eva M Meisenzahl; Stefan Borgwardt; Anita Riecher-Rössler; Thomas Frodl; Joseph Kambeitz; Yanis Köhler; Peter Falkai; Hans-Jürgen Möller; Maximilian Reiser; Christos Davatzikos
Journal:  Brain       Date:  2015-05-01       Impact factor: 13.501

2.  Cross-validation failure: Small sample sizes lead to large error bars.

Authors:  Gaël Varoquaux
Journal:  Neuroimage       Date:  2017-06-24       Impact factor: 6.556

3.  HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.

Authors:  Erdem Varol; Aristeidis Sotiras; Christos Davatzikos
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

4.  Anatomical heterogeneity of Alzheimer disease: based on cortical thickness on MRIs.

Authors:  Young Noh; Seun Jeon; Jong Min Lee; Sang Won Seo; Geon Ha Kim; Hanna Cho; Byoung Seok Ye; Cindy W Yoon; Hee Jin Kim; Juhee Chin; Kee Hyung Park; Kenneth M Heilman; Duk L Na
Journal:  Neurology       Date:  2014-10-24       Impact factor: 9.910

Review 5.  Pattern component modeling: A flexible approach for understanding the representational structure of brain activity patterns.

Authors:  Jörn Diedrichsen; Atsushi Yokoi; Spencer A Arbuckle
Journal:  Neuroimage       Date:  2017-08-24       Impact factor: 6.556

6.  Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification.

Authors:  Bilwaj Gaonkar; Christos Davatzikos
Journal:  Neuroimage       Date:  2013-04-10       Impact factor: 6.556

7.  Harmonization of cortical thickness measurements across scanners and sites.

Authors:  Jean-Philippe Fortin; Nicholas Cullen; Yvette I Sheline; Warren D Taylor; Irem Aselcioglu; Philip A Cook; Phil Adams; Crystal Cooper; Maurizio Fava; Patrick J McGrath; Melvin McInnis; Mary L Phillips; Madhukar H Trivedi; Myrna M Weissman; Russell T Shinohara
Journal:  Neuroimage       Date:  2017-11-17       Impact factor: 6.556

8.  Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach.

Authors:  Christine Ecker; Vanessa Rocha-Rego; Patrick Johnston; Janaina Mourao-Miranda; Andre Marquand; Eileen M Daly; Michael J Brammer; Clodagh Murphy; Declan G Murphy
Journal:  Neuroimage       Date:  2009-08-14       Impact factor: 6.556

9.  Automatic classification of MR scans in Alzheimer's disease.

Authors:  Stefan Klöppel; Cynthia M Stonnington; Carlton Chu; Bogdan Draganski; Rachael I Scahill; Jonathan D Rohrer; Nick C Fox; Clifford R Jack; John Ashburner; Richard S J Frackowiak
Journal:  Brain       Date:  2008-01-17       Impact factor: 13.501

10.  Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns.

Authors:  M Habes; D Janowitz; G Erus; J B Toledo; S M Resnick; J Doshi; S Van der Auwera; K Wittfeld; K Hegenscheid; N Hosten; R Biffar; G Homuth; H Völzke; H J Grabe; W Hoffmann; C Davatzikos
Journal:  Transl Psychiatry       Date:  2016-04-05       Impact factor: 6.222
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  40 in total

1.  Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.

Authors:  Junhao Wen; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B Chand; Guray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B Dwyer; Alessandro Pigoni; Paola Dazzan; Rene S Kahn; Hugo G Schnack; Marcus V Zanetti; Eva Meisenzahl; Geraldo F Busatto; Benedicto Crespo-Facorro; Romero-Garcia Rafael; Christos Pantelis; Stephen J Wood; Chuanjun Zhuo; Russell T Shinohara; Yong Fan; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Nikolaos Koutsouleris; Daniel H Wolf; Christos Davatzikos
Journal:  Med Image Anal       Date:  2021-11-11       Impact factor: 8.545

Review 2.  Predicting the future of neuroimaging predictive models in mental health.

Authors:  Link Tejavibulya; Max Rolison; Siyuan Gao; Qinghao Liang; Hannah Peterson; Javid Dadashkarimi; Michael C Farruggia; C Alice Hahn; Stephanie Noble; Sarah D Lichenstein; Angeliki Pollatou; Alexander J Dufford; Dustin Scheinost
Journal:  Mol Psychiatry       Date:  2022-06-13       Impact factor: 13.437

3.  Super-resolution generative adversarial networks with static T2*WI-based subject-specific learning to improve spatial difference sensitivity in fMRI activation.

Authors:  Junko Ota; Kensuke Umehara; Jeff Kershaw; Riwa Kishimoto; Yoshiyuki Hirano; Yasuhiko Tachibana; Hisateru Ohba; Takayuki Obata
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

4.  Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance.

Authors:  Toan Duc Bui; Li Wang; Jian Chen; Weili Lin; Gang Li; Dinggang Shen
Journal:  Domain Adapt Represent Transf Med Image Learn Less Labels Imperfect Data (2019)       Date:  2019-10-13

Review 5.  Machine Learning With Neuroimaging: Evaluating Its Applications in Psychiatry.

Authors:  Ashley N Nielsen; Deanna M Barch; Steven E Petersen; Bradley L Schlaggar; Deanna J Greene
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-11-27

6.  Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Authors:  Rongguang Wang; Pratik Chaudhari; Christos Davatzikos
Journal:  Med Image Anal       Date:  2021-11-26       Impact factor: 8.545

7.  NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data.

Authors:  Nipuna Senanayake; Robert Podschwadt; Daniel Takabi; Vince D Calhoun; Sergey M Plis
Journal:  Neuroinformatics       Date:  2021-05-04

8.  Structural brain measures linked to clinical phenotypes in major depression replicate across clinical centres.

Authors:  Meichen Yu; Nicholas Cullen; Kristin A Linn; Desmond J Oathes; Darsol Seok; Philip A Cook; Romain Duprat; Irem Aselcioglu; Tyler M Moore; Christos Davatzikos; Maria A Oquendo; Myrna M Weissman; Russell T Shinohara; Yvette I Sheline
Journal:  Mol Psychiatry       Date:  2021-02-15       Impact factor: 13.437

Review 9.  Neuroimaging Biomarkers in Schizophrenia.

Authors:  Nina V Kraguljac; William M McDonald; Alik S Widge; Carolyn I Rodriguez; Mauricio Tohen; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2021-01-05       Impact factor: 19.242

10.  Gaming behavior and brain activation using functional near-infrared spectroscopy, Iowa gambling task, and machine learning techniques.

Authors:  Denis Kornev; Stanley Nwoji; Roozbeh Sadeghian; Saeed Esmaili Sardari; Hadis Dashtestani; Qinghua He; Amir Gandjbakhche; Siamak Aram
Journal:  Brain Behav       Date:  2022-03-15       Impact factor: 3.405
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