Neuroimaging and machine learning for brain age estimation

被引：0
作者：
Kocar, Thomas D. [1 ]
Denkinger, Michael [1 ]
Kassubek, Jan [1 ]
机构：
[1] Univ Ulm, Geriatr Ctr Ulm, Agaples Bethesda Ulm, Ulm, Germany
来源：
AGING-US | 2023年 / 15卷 / 08期
关键词：
brain age; machine learning; neuroimaging; magnetic resonance imaging; neurodegeneration;
D O I：
暂无
中图分类号：
Q2 [细胞生物学];
学科分类号：
071009 ; 090102 ;
摘要：
引用
收藏
页码：2822 / 2823
页数：2
相关论文
共 50 条
  • [21] The role of machine learning in neuroimaging for drug discovery and development
    Doyle, Orla M.
    Mehta, Mitul A.
    Brammer, Michael J.
    PSYCHOPHARMACOLOGY, 2015, 232 (21-22) : 4179 - 4189
  • [22] Age estimation from human skeleton by machine learning
    Nagata, Takeshi
    Taniguchi, Kei
    Ogawa, Yoshinori
    Imaizumi, Kazuhiko
    2020 21ST INTERNATIONAL CONFERENCE ON RESEARCH AND EDUCATION IN MECHATRONICS (REM), 2020,
  • [23] Quantifying performance of machine learning methods for neuroimaging data
    Jollans, Lee
    Boyle, Rory
    Artiges, Eric
    Banaschewski, Tobias
    Desrivieres, Sylvane
    Grigis, Antoine
    Martinot, Jean-Luc
    Paus, Tomas
    Smolka, Michael N.
    Walter, Henrik
    Schumann, Gunter
    Garavan, Hugh
    Whelan, Robert
    NEUROIMAGE, 2019, 199 : 351 - 365
  • [24] The role of machine learning in neuroimaging for drug discovery and development
    Orla M. Doyle
    Mitul A. Mehta
    Michael J. Brammer
    Psychopharmacology, 2015, 232 : 4179 - 4189
  • [25] Neuroimaging and machine learning in eating disorders: a systematic review
    Francesco Monaco
    Annarita Vignapiano
    Benedetta Di Gruttola
    Stefania Landi
    Ernesta Panarello
    Raffaele Malvone
    Stefania Palermo
    Alessandra Marenna
    Enrico Collantoni
    Giovanna Celia
    Valeria Di Stefano
    Paolo Meneguzzo
    Martina D’Angelo
    Giulio Corrivetti
    Luca Steardo
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 30 (1)
  • [26] Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging
    Besteher, Bianca
    Gaser, Christian
    Nenadic, Igor
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2019, 290 : 1 - 4
  • [27] Age Prediction based on Brain MRI Images using Extreme Learning Machine
    Afshar, Leila Keshavarz
    Sajedi, Hedieh
    2019 7TH IRANIAN JOINT CONGRESS ON FUZZY AND INTELLIGENT SYSTEMS (CFIS), 2019, : 1 - 5
  • [28] Using neuroimaging to predict brain age: insights into typical and atypical development and risk for psychopathology
    Diaz-Arteche, Carmela
    Rakesh, Divyangana
    JOURNAL OF NEUROPHYSIOLOGY, 2020, 124 (02) : 400 - 403
  • [29] Predicting obsessive-compulsive disorder severity combining neuroimaging and machine learning methods
    Hoexter, Marcelo Q.
    Miguel, Euripedes C.
    Diniz, Juliana B.
    Shavitt, Roseli G.
    Busatto, Geraldo F.
    Sato, Joao R.
    JOURNAL OF AFFECTIVE DISORDERS, 2013, 150 (03) : 1213 - 1216
  • [30] Predicting Age From Brain EEG Signals-A Machine Learning Approach
    Al Zoubi, Obada
    Wong, Chung Ki
    Kuplicki, Rayus T.
    Yeh, Hung-wen
    Mayeli, Ahmad
    Refai, Hazem
    Paulus, Martin
    Bodurka, Jerzy
    FRONTIERS IN AGING NEUROSCIENCE, 2018, 10
12345