Skip to main content

Animations

MJFF Publications

6331 - 6340 of 9104 Results
Title
Year
  • Year
  • 2020
  • 2020
  • 2020
  • 2019
  • 2024
  • 2022
  • 2019
  • 2024
  • 2019
  • 2020
  • Summary Details
    OPEN
    Title: Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson’s disease
    Journal Name: Computer Methods and Programs in Biomedicine
    Publisher: Elsevier BV
    Publication Date:
    Open Access(OA) Status: OPEN
    License: cc-by-nc-nd
    DOI - Digital Object Identifier: 10.1016/j.cmpb.2020.105793
    Citation Count: 136
  • Summary Details
    RESTRICTED
    Title: Unified deep learning approach for prediction of Parkinson's disease
    Journal Name: IET Image Processing
    Publisher: Institution of Engineering and Technology (IET)
    Publication Date:
    Open Access(OA) Status: RESTRICTED
    License:
    DOI - Digital Object Identifier: 10.1049/iet-ipr.2019.1526
    Citation Count: 71
  • Creation of a gene expression classifier for predicting Parkinson’s disease rate of progression
    2020
    Summary Details
    RESTRICTED
    Title: Creation of a gene expression classifier for predicting Parkinson’s disease rate of progression
    Journal Name: Journal of Neural Transmission
    Publisher: Springer Science and Business Media LLC
    Publication Date:
    Open Access(OA) Status: RESTRICTED
    License:
    DOI - Digital Object Identifier: 10.1007/s00702-020-02194-y
    Citation Count: 8
  • Prevalence and factors related to orthostatic syndromes in recently diagnosed, drug-naïve patients with Parkinson disease
    2019
    Summary Details
    OPEN
    Title: Prevalence and factors related to orthostatic syndromes in recently diagnosed, drug-naïve patients with Parkinson disease
    Journal Name: Clinical Autonomic Research
    Publisher: Springer Science and Business Media LLC
    Publication Date:
    Open Access(OA) Status: OPEN
    License:
    DOI - Digital Object Identifier: 10.1007/s10286-019-00652-6
    Citation Count: 20
  • Summary Details
    OPEN
    Title: Autophagy preferentially degrades non-fibrillar polyQ aggregates
    Journal Name: Molecular Cell
    Publisher: Elsevier BV
    Publication Date:
    Open Access(OA) Status: OPEN
    License: cc-by
    DOI - Digital Object Identifier: 10.1016/j.molcel.2024.04.018
    Citation Count: 42
  • Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.
    2022
    Summary Details
    RESTRICTED
    Title: Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.
    Journal Name: Psychological Methods
    Publisher: American Psychological Association (APA)
    Publication Date:
    Open Access(OA) Status: RESTRICTED
    License:
    DOI - Digital Object Identifier: 10.1037/met0000452
    Citation Count: 2
  • Summary Details
    OPEN
    Title: Early Detection of Parkinson’s Disease by Using SPECT Imaging and Biomarkers
    Journal Name: Journal of Intelligent Systems
    Publisher: Walter de Gruyter GmbH
    Publication Date:
    Open Access(OA) Status: OPEN
    License: cc-by
    DOI - Digital Object Identifier: 10.1515/jisys-2018-0261
    Citation Count: 28
  • Summary Details
    OPEN
    Title: Synapsin E-domain is essential for α-synuclein function
    Journal Name: eLife
    Publisher: eLife Sciences Publications, Ltd
    Publication Date:
    Open Access(OA) Status: OPEN
    License: cc-by
    DOI - Digital Object Identifier: 10.7554/elife.89687.3
    Citation Count: 14
  • Summary Details
    OPEN
    Title: Quadruple Decision Making for Parkinson’s Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine
    Journal Name: Journal of Parkinson’s Disease
    Publisher: SAGE Publications
    Publication Date:
    Open Access(OA) Status: OPEN
    License: cc-by-nc
    DOI - Digital Object Identifier: 10.3233/jpd-191712
    Citation Count: 32
  • Serum Uric Acid Level as a Biomarker in Idiopathic and Genetic (p.A53T Alpha-Synuclein Carriers) Parkinson’s Disease: Data from the PPMI Study
    2020
    Summary Details
    RESTRICTED
    Title: Serum Uric Acid Level as a Biomarker in Idiopathic and Genetic (p.A53T Alpha-Synuclein Carriers) Parkinson’s Disease: Data from the PPMI Study
    Journal Name: Journal of Parkinson's Disease
    Publisher: SAGE Publications
    Publication Date:
    Open Access(OA) Status: RESTRICTED
    License:
    DOI - Digital Object Identifier: 10.3233/jpd-191860
    Citation Count: 0
We use cookies to ensure that you get the best experience. By continuing to use this website, you indicate that you have read our Terms of Service and Privacy Policy.