656 related articles for article (PubMed ID: 28435046)
21. Analyzing brain structural differences associated with categories of blood pressure in adults using empirical kernel mapping-based kernel ELM.
Yu X; Peng B; Xue Z; Rad HS; Cai Z; Shi J; Zhu J; Dai Y
Biomed Eng Online; 2019 Dec; 18(1):124. PubMed ID: 31881897
[TBL] [Abstract][Full Text] [Related]
22. Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study.
Yuvaraj R; Murugappan M; Ibrahim NM; Omar MI; Sundaraj K; Mohamad K; Palaniappan R; Satiyan M
J Integr Neurosci; 2014 Mar; 13(1):89-120. PubMed ID: 24738541
[TBL] [Abstract][Full Text] [Related]
23. Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Liu L; Wang Q; Adeli E; Zhang L; Zhang H; Shen D
Comput Med Imaging Graph; 2018 Jul; 67():21-29. PubMed ID: 29702348
[TBL] [Abstract][Full Text] [Related]
24. Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
Castillo-Barnes D; Martinez-Murcia FJ; Ortiz A; Salas-Gonzalez D; RamÍrez J; Górriz JM
Int J Neural Syst; 2020 Sep; 30(9):2050044. PubMed ID: 32787634
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Discriminative analysis of multivariate features from structural MRI and diffusion tensor images.
Li M; Qin Y; Gao F; Zhu W; He X
Magn Reson Imaging; 2014 Oct; 32(8):1043-51. PubMed ID: 24970026
[TBL] [Abstract][Full Text] [Related]
27. Brain Morphological Alterations Are Detected in Early-Stage Parkinson's Disease with MRI Morphometry.
Fu T; Klietz M; Nösel P; Wegner F; Schrader C; Höglinger GU; Dadak M; Mahmoudi N; Lanfermann H; Ding XQ
J Neuroimaging; 2020 Nov; 30(6):786-792. PubMed ID: 33405336
[TBL] [Abstract][Full Text] [Related]
28. Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.
Tohka J; Moradi E; Huttunen H;
Neuroinformatics; 2016 Jul; 14(3):279-96. PubMed ID: 26803769
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Identifying and distinguishing of essential tremor and Parkinson's disease with grouped stability analysis based on searchlight-based MVPA.
Cheng F; Duan Y; Jiang H; Zeng Y; Chen X; Qin L; Zhao L; Yi F; Tang Y; Liu C
Biomed Eng Online; 2022 Nov; 21(1):81. PubMed ID: 36443843
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.
Qureshi MN; Min B; Jo HJ; Lee B
PLoS One; 2016; 11(8):e0160697. PubMed ID: 27500640
[TBL] [Abstract][Full Text] [Related]
33. Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease.
Liu H; Du G; Zhang L; Lewis MM; Wang X; Yao T; Li R; Huang X
J Neurosci Methods; 2016 Aug; 268():1-6. PubMed ID: 27102045
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Self-paced learning and privileged information based KRR classification algorithm for diagnosis of Parkinson's disease.
Peng B; Gong Z; Zhang Y; Shen B; Pang C; Zhang L; Dai Y
Neurosci Lett; 2022 Jan; 766():136312. PubMed ID: 34757107
[TBL] [Abstract][Full Text] [Related]
36. High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning.
Prashanth R; Dutta Roy S; Mandal PK; Ghosh S
Int J Med Inform; 2016 Jun; 90():13-21. PubMed ID: 27103193
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Liu L; Wang Q; Adeli E; Zhang L; Zhang H; Shen D
Med Image Comput Comput Assist Interv; 2016 Oct; 9901():1-8. PubMed ID: 28593202
[TBL] [Abstract][Full Text] [Related]
39. A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
Buongiorno D; Bortone I; Cascarano GD; Trotta GF; Brunetti A; Bevilacqua V
BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):243. PubMed ID: 31830986
[TBL] [Abstract][Full Text] [Related]
40. Automated Parkinson's disease recognition based on statistical pooling method using acoustic features.
Yaman O; Ertam F; Tuncer T
Med Hypotheses; 2020 Feb; 135():109483. PubMed ID: 31954340
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]