171 related articles for article (PubMed ID: 26304693)
1. Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.
Singh G; Samavedham L
J Neurosci Methods; 2015 Dec; 256():30-40. PubMed ID: 26304693
[TBL] [Abstract][Full Text] [Related]
2. Determination of Imaging Biomarkers to Decipher Disease Trajectories and Differential Diagnosis of Neurodegenerative Diseases (DIsease TreND).
Singh G; Samavedham L; Lim EC; ;
J Neurosci Methods; 2018 Jul; 305():105-116. PubMed ID: 29800593
[TBL] [Abstract][Full Text] [Related]
3. Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy.
Salvatore C; Cerasa A; Castiglioni I; Gallivanone F; Augimeri A; Lopez M; Arabia G; Morelli M; Gilardi MC; Quattrone A
J Neurosci Methods; 2014 Jan; 222():230-7. PubMed ID: 24286700
[TBL] [Abstract][Full Text] [Related]
4. A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson's disease.
Peng B; Wang S; Zhou Z; Liu Y; Tong B; Zhang T; Dai Y
Neurosci Lett; 2017 Jun; 651():88-94. PubMed ID: 28435046
[TBL] [Abstract][Full Text] [Related]
5. Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations.
Dinov ID; Heavner B; Tang M; Glusman G; Chard K; Darcy M; Madduri R; Pa J; Spino C; Kesselman C; Foster I; Deutsch EW; Price ND; Van Horn JD; Ames J; Clark K; Hood L; Hampstead BM; Dauer W; Toga AW
PLoS One; 2016; 11(8):e0157077. PubMed ID: 27494614
[TBL] [Abstract][Full Text] [Related]
6. Improved Automatic Morphology-Based Classification of Parkinson's Disease and Progressive Supranuclear Palsy.
Talai AS; Ismail Z; Sedlacik J; Boelmans K; Forkert ND
Clin Neuroradiol; 2019 Dec; 29(4):605-614. PubMed ID: 30218110
[TBL] [Abstract][Full Text] [Related]
7. Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
Adeli E; Shi F; An L; Wee CY; Wu G; Wang T; Shen D
Neuroimage; 2016 Nov; 141():206-219. PubMed ID: 27296013
[TBL] [Abstract][Full Text] [Related]
8. Complex networks reveal early MRI markers of Parkinson's disease.
Amoroso N; La Rocca M; Monaco A; Bellotti R; Tangaro S
Med Image Anal; 2018 Aug; 48():12-24. PubMed ID: 29807313
[TBL] [Abstract][Full Text] [Related]
9. An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification.
Siddiqui MF; Reza AW; Kanesan J
PLoS One; 2015; 10(8):e0135875. PubMed ID: 26280918
[TBL] [Abstract][Full Text] [Related]
10. Sparse feature learning for multi-class Parkinson's disease classification.
Lei H; Zhao Y; Wen Y; Luo Q; Cai Y; Liu G; Lei B
Technol Health Care; 2018; 26(S1):193-203. PubMed ID: 29710748
[TBL] [Abstract][Full Text] [Related]
11. Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis.
Khoury N; Attal F; Amirat Y; Oukhellou L; Mohammed S
Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30634600
[TBL] [Abstract][Full Text] [Related]
12. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
[TBL] [Abstract][Full Text] [Related]
13. Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.
Gu Q; Zhang H; Xuan M; Luo W; Huang P; Xia S; Zhang M
J Parkinsons Dis; 2016 May; 6(3):545-56. PubMed ID: 27176623
[TBL] [Abstract][Full Text] [Related]
14. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
[TBL] [Abstract][Full Text] [Related]
15. Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.
Andrade de Oliveira A; Carthery-Goulart MT; Oliveira Júnior PP; Carrettiero DC; Sato JR
J Alzheimers Dis; 2015; 43(1):201-12. PubMed ID: 25079801
[TBL] [Abstract][Full Text] [Related]
16. A new hybrid intelligent system for accurate detection of Parkinson's disease.
Hariharan M; Polat K; Sindhu R
Comput Methods Programs Biomed; 2014 Mar; 113(3):904-13. PubMed ID: 24485390
[TBL] [Abstract][Full Text] [Related]
17. View-centralized multi-atlas classification for Alzheimer's disease diagnosis.
Liu M; Zhang D; Shen D;
Hum Brain Mapp; 2015 May; 36(5):1847-65. PubMed ID: 25624081
[TBL] [Abstract][Full Text] [Related]
18. A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.
Previtali F; Bertolazzi P; Felici G; Weitschek E
Comput Methods Programs Biomed; 2017 May; 143():89-95. PubMed ID: 28391822
[TBL] [Abstract][Full Text] [Related]
19. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
20. Connectome analysis with diffusion MRI in idiopathic Parkinson's disease: Evaluation using multi-shell, multi-tissue, constrained spherical deconvolution.
Kamagata K; Zalesky A; Hatano T; Di Biase MA; El Samad O; Saiki S; Shimoji K; Kumamaru KK; Kamiya K; Hori M; Hattori N; Aoki S; Pantelis C
Neuroimage Clin; 2018; 17():518-529. PubMed ID: 29201640
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
