BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

244 related articles for article (PubMed ID: 22166797)

  • 21. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
    Elahifasaee F; Li F; Yang M
    Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Improving Alzheimer's Disease Classification by Combining Multiple Measures.
    Liu J; Wang J; Tang Z; Hu B; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1649-1659. PubMed ID: 28749356
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Convolutional Neural Network-based MR Image Analysis for Alzheimer's Disease Classification.
    Choi BK; Madusanka N; Choi HK; So JH; Kim CH; Park HG; Bhattacharjee S; Prakash D
    Curr Med Imaging Rev; 2020; 16(1):27-35. PubMed ID: 31989891
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. 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]  

  • 26. Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.
    Eskildsen SF; Coupé P; García-Lorenzo D; Fonov V; Pruessner JC; Collins DL;
    Neuroimage; 2013 Jan; 65():511-21. PubMed ID: 23036450
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.
    Ye T; Zu C; Jie B; Shen D; Zhang D;
    Brain Imaging Behav; 2016 Sep; 10(3):739-49. PubMed ID: 26311394
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.
    Sørensen L; Igel C; Pai A; Balas I; Anker C; Lillholm M; Nielsen M;
    Neuroimage Clin; 2017; 13():470-482. PubMed ID: 28119818
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network.
    Liu J; Li M; Lan W; Wu FX; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):624-632. PubMed ID: 28114031
    [TBL] [Abstract][Full Text] [Related]  

  • 30. White matter signal abnormality quality differentiates mild cognitive impairment that converts to Alzheimer's disease from nonconverters.
    Lindemer ER; Salat DH; Smith EE; Nguyen K; Fischl B; Greve DN;
    Neurobiol Aging; 2015 Sep; 36(9):2447-57. PubMed ID: 26095760
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
    Tong T; Gao Q; Guerrero R; Ledig C; Chen L; Rueckert D; Initiative ADN
    IEEE Trans Biomed Eng; 2017 Jan; 64(1):155-165. PubMed ID: 27046891
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Multimodal classification of Alzheimer's disease and mild cognitive impairment.
    Zhang D; Wang Y; Zhou L; Yuan H; Shen D;
    Neuroimage; 2011 Apr; 55(3):856-67. PubMed ID: 21236349
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Stage detection of mild cognitive impairment via fMRI using Hilbert Huang transform based classification framework.
    Shi J; Liu B
    Med Phys; 2020 Jul; 47(7):2902-2915. PubMed ID: 32302413
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Multi-Modality Sparse Representation for Alzheimer's Disease Classification.
    Kwak K; Yun HJ; Park G; Lee JM;
    J Alzheimers Dis; 2018; 65(3):807-817. PubMed ID: 29562503
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients.
    de Vos F; Schouten TM; Koini M; Bouts MJRJ; Feis RA; Lechner A; Schmidt R; van Buchem MA; Verhey FRJ; Olde Rikkert MGM; Scheltens P; de Rooij M; van der Grond J; Rombouts SARB
    Neuroimage Clin; 2020; 27():102303. PubMed ID: 32554321
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
    Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
    Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.
    Dyrba M; Barkhof F; Fellgiebel A; Filippi M; Hausner L; Hauenstein K; Kirste T; Teipel SJ;
    J Neuroimaging; 2015; 25(5):738-47. PubMed ID: 25644739
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.