BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 31102761)

  • 1. Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.
    Zhang F; Tian S; Chen S; Ma Y; Li X; Guo X
    Neuroscience; 2019 Aug; 414():273-279. PubMed ID: 31102761
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images.
    Gupta Y; Lee KH; Choi KY; Lee JJ; Kim BC; Kwon GR; ;
    PLoS One; 2019; 14(10):e0222446. PubMed ID: 31584953
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation.
    Ikemitsu N; Kanazawa Y; Haga A; Hayashi H; Matsumoto Y; Harada M
    Acta Radiol; 2024 Apr; 65(4):359-366. PubMed ID: 38196180
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
    Beheshti I; Demirel H; Matsuda H;
    Comput Biol Med; 2017 Apr; 83():109-119. PubMed ID: 28260614
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes.
    Wang Y; Xu C; Park JH; Lee S; Stern Y; Yoo S; Kim JH; Kim HS; Cha J;
    Neuroimage Clin; 2019; 23():101859. PubMed ID: 31150957
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
    Khedher L; Illán IA; Górriz JM; Ramírez J; Brahim A; Meyer-Baese A
    Int J Neural Syst; 2017 May; 27(3):1650050. PubMed ID: 27776438
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Probability distribution function-based classification of structural MRI for the detection of Alzheimer's disease.
    Beheshti I; Demirel H;
    Comput Biol Med; 2015 Sep; 64():208-16. PubMed ID: 26226415
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
    Liu M; Zhang D; Shen D
    IEEE Trans Med Imaging; 2016 Jun; 35(6):1463-74. PubMed ID: 26742127
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification.
    Sun Z; Qiao Y; Lelieveldt BPF; Staring M;
    Neuroimage; 2018 Sep; 178():445-460. PubMed ID: 29802968
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning for Alzheimer's Disease Classification using Texture Features.
    So JH; Madusanka N; Choi HK; Choi BK; Park HG
    Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
    Zhang Y; Liu S
    Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Contourlet-based hippocampal magnetic resonance imaging texture features for multivariant classification and prediction of Alzheimer's disease.
    Gao N; Tao LX; Huang J; Zhang F; Li X; O'Sullivan F; Chen SP; Tian SJ; Mahara G; Luo YX; Gao Q; Liu XT; Wang W; Liang ZG; Guo XH
    Metab Brain Dis; 2018 Dec; 33(6):1899-1909. PubMed ID: 30178281
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.
    Kim J; Lee B
    Hum Brain Mapp; 2018 Sep; 39(9):3728-3741. PubMed ID: 29736986
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease.
    Bi XA; Shu Q; Sun Q; Xu Q
    PLoS One; 2018; 13(3):e0194479. PubMed ID: 29570705
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Alzheimer's Disease Computer-Aided Diagnosis: Histogram-Based Analysis of Regional MRI Volumes for Feature Selection and Classification.
    Ruiz E; Ramírez J; Górriz JM; Casillas J;
    J Alzheimers Dis; 2018; 65(3):819-842. PubMed ID: 29966190
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.
    Nguyen DT; Ryu S; Qureshi MNI; Choi M; Lee KH; Lee B
    PLoS One; 2019; 14(2):e0212582. PubMed ID: 30794629
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multimodal Classification of Mild Cognitive Impairment Based on Partial Least Squares.
    Wang P; Chen K; Yao L; Hu B; Wu X; Zhang J; Ye Q; Guo X;
    J Alzheimers Dis; 2016 Aug; 54(1):359-71. PubMed ID: 27567818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated discrimination of dementia spectrum disorders using extreme learning machine and structural T1 MRI features.
    Jongin Kim ; Boreom Lee
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1990-1993. PubMed ID: 29060285
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel joint HCPMMP method for automatically classifying Alzheimer's and different stage MCI patients.
    Sheng J; Wang B; Zhang Q; Liu Q; Ma Y; Liu W; Shao M; Chen B
    Behav Brain Res; 2019 Jun; 365():210-221. PubMed ID: 30836158
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 13.