These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

375 related articles for article (PubMed ID: 31173849)

  • 1. Machine learning in resting-state fMRI analysis.
    Khosla M; Jamison K; Ngo GH; Kuceyeski A; Sabuncu MR
    Magn Reson Imaging; 2019 Dec; 64():101-121. PubMed ID: 31173849
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Applications to Resting-State Functional MR Imaging Analysis.
    Billings JM; Eder M; Flood WC; Dhami DS; Natarajan S; Whitlow CT
    Neuroimaging Clin N Am; 2017 Nov; 27(4):609-620. PubMed ID: 28985932
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
    Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
    Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network.
    Akhavan Aghdam M; Sharifi A; Pedram MM
    J Digit Imaging; 2018 Dec; 31(6):895-903. PubMed ID: 29736781
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning Evidence for Sex Differences Consistently Influences Resting-State Functional Magnetic Resonance Imaging Fluctuations Across Multiple Independently Acquired Data Sets.
    Al Zoubi O; Misaki M; Tsuchiyagaito A; Zotev V; White E; Paulus M; Bodurka J
    Brain Connect; 2022 May; 12(4):348-361. PubMed ID: 34269609
    [No Abstract]   [Full Text] [Related]  

  • 6. State-space model with deep learning for functional dynamics estimation in resting-state fMRI.
    Suk HI; Wee CY; Lee SW; Shen D
    Neuroimage; 2016 Apr; 129():292-307. PubMed ID: 26774612
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer's disease.
    Forouzannezhad P; Abbaspour A; Fang C; Cabrerizo M; Loewenstein D; Duara R; Adjouadi M
    J Neurosci Methods; 2019 Apr; 317():121-140. PubMed ID: 30593787
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A SVM-based quantitative fMRI method for resting-state functional network detection.
    Song X; Chen NK
    Magn Reson Imaging; 2014 Sep; 32(7):819-31. PubMed ID: 24928301
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning for post-traumatic stress disorder identification utilizing resting-state functional magnetic resonance imaging.
    Saba T; Rehman A; Shahzad MN; Latif R; Bahaj SA; Alyami J
    Microsc Res Tech; 2022 Jun; 85(6):2083-2094. PubMed ID: 35088496
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity.
    Rubbert C; Mathys C; Jockwitz C; Hartmann CJ; Eickhoff SB; Hoffstaedter F; Caspers S; Eickhoff CR; Sigl B; Teichert NA; Südmeyer M; Turowski B; Schnitzler A; Caspers J
    Br J Radiol; 2019 Sep; 92(1101):20180886. PubMed ID: 30994036
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data.
    Dai P; Xiong T; Zhou X; Ou Y; Li Y; Kui X; Chen Z; Zou B; Li W; Huang Z; The Rest-Meta-Mdd Consortium
    Behav Brain Res; 2022 Oct; 435():114058. PubMed ID: 35995263
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mapping cognitive and emotional networks in neurosurgical patients using resting-state functional magnetic resonance imaging.
    Catalino MP; Yao S; Green DL; Laws ER; Golby AJ; Tie Y
    Neurosurg Focus; 2020 Feb; 48(2):E9. PubMed ID: 32006946
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dynamic Brain Connectivity in Resting State Functional MR Imaging.
    Jalilianhasanpour R; Ryan D; Agarwal S; Beheshtian E; Gujar SK; Pillai JJ; Sair HI
    Neuroimaging Clin N Am; 2021 Feb; 31(1):81-92. PubMed ID: 33220830
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.
    Jie B; Liu M; Shen D
    Med Image Anal; 2018 Jul; 47():81-94. PubMed ID: 29702414
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.
    Campbell JM; Huang Z; Zhang J; Wu X; Qin P; Northoff G; Mashour GA; Hudetz AG
    Neuroimage; 2020 Feb; 206():116316. PubMed ID: 31672663
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On applicability of PCA, voxel-wise variance normalization and dimensionality assumptions for sliding temporal window sICA in resting-state fMRI.
    Remes JJ; Abou Elseoud A; Ollila E; Haapea M; Starck T; Nikkinen J; Tervonen O; Silven O
    Magn Reson Imaging; 2013 Oct; 31(8):1338-48. PubMed ID: 23845397
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Resting-state functional magnetic resonance imaging for surgical planning in pediatric patients: a preliminary experience.
    Roland JL; Griffin N; Hacker CD; Vellimana AK; Akbari SH; Shimony JS; Smyth MD; Leuthardt EC; Limbrick DD
    J Neurosurg Pediatr; 2017 Dec; 20(6):583-590. PubMed ID: 28960172
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI.
    Hojjati SH; Ebrahimzadeh A; Khazaee A; Babajani-Feremi A;
    Comput Biol Med; 2018 Nov; 102():30-39. PubMed ID: 30245275
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analyzing 20 years of Resting-State fMRI Research: Trends and collaborative networks revealed.
    Wei W; Zhang K; Chang J; Zhang S; Ma L; Wang H; Zhang M; Zu Z; Yang L; Chen F; Fan C; Li X
    Brain Res; 2024 Jan; 1822():148634. PubMed ID: 37848120
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data.
    Artiles O; Al Masry Z; Saeed F
    Neuroinformatics; 2023 Oct; 21(4):651-668. PubMed ID: 37581850
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.