7451 - 7460 of 9037 Results
Title
Year
- Mindfulness based stress reduction in people with Parkinson's disease and their care partners2021RESTRICTEDTitle: Mindfulness based stress reduction in people with Parkinson's disease and their care partnersJournal Name: Complementary Therapies in Clinical PracticePublisher: Elsevier BVVol: 43Issue #:Start Page: 101377End Page: 101377Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.ctcp.2021.101377Citation Count: 17
- Agglomerative and divisive hierarchical Bayesian clustering2022RESTRICTEDTitle: Agglomerative and divisive hierarchical Bayesian clusteringJournal Name: Computational Statistics & Data AnalysisPublisher: Elsevier BVVol: 176Issue #:Start Page: 107566End Page: 107566Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.csda.2022.107566Citation Count: 9
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OPENTitle: The frontostriatal subtype of mild cognitive impairment in Parkinson's disease, but not the posterior cortical one, is associated with specific EEG alterationsJournal Name: CortexPublisher: Elsevier BVVol: 153Issue #:Start Page: 166End Page: 177Publication Date:Open Access(OA) Status: OPENLicense: other-oaDOI - Digital Object Identifier: 10.1016/j.cortex.2022.04.015Best OA location URL: https://www.sciencedirect.com/science/article/am/pii/S0010945222001290?via%3DihubCitation Count: 7
- Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning2020RESTRICTEDTitle: Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learningJournal Name: Computers in Biology and MedicinePublisher: Elsevier BVVol: 129Issue #:Start Page: 104142End Page: 104142Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.compbiomed.2020.104142Citation Count: 58
- Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images2021RESTRICTEDTitle: Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT imagesJournal Name: Computers in Biology and MedicinePublisher: Elsevier BVVol: 132Issue #:Start Page: 104312End Page: 104312Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.compbiomed.2021.104312Citation Count: 41
- Deep learning architectures for Parkinson's disease detection by using multi-modal features2022RESTRICTEDTitle: Deep learning architectures for Parkinson's disease detection by using multi-modal featuresJournal Name: Computers in Biology and MedicinePublisher: Elsevier BVVol: 146Issue #:Start Page: 105610End Page: 105610Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.compbiomed.2022.105610Citation Count: 78
- Lessons from metabolic perturbations in lysosomal storage disorders for neurodegeneration2021RESTRICTEDTitle: Lessons from metabolic perturbations in lysosomal storage disorders for neurodegenerationJournal Name: Current Opinion in Systems BiologyPublisher: Elsevier BVVol: 29Issue #:Start Page: 100408End Page: 100408Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.coisb.2021.100408Citation Count: 13
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OPENTitle: Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson’s diseaseJournal Name: Computer Methods and Programs in BiomedicinePublisher: Elsevier BVVol: 198Issue #:Start Page: 105793End Page: 105793Publication Date:Open Access(OA) Status: OPENLicense: cc-by-nc-ndDOI - Digital Object Identifier: 10.1016/j.cmpb.2020.105793Best OA location URL: https://doi.org/10.1016/j.cmpb.2020.105793Citation Count: 136
- Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease2021RESTRICTEDTitle: Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's diseaseJournal Name: Computer Methods and Programs in BiomedicinePublisher: Elsevier BVVol: 206Issue #:Start Page: 106131End Page: 106131Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.cmpb.2021.106131Citation Count: 59
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OPENTitle: FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorderJournal Name: Computer Methods and Programs in BiomedicinePublisher: Elsevier BVVol: 225Issue #:Start Page: 107042End Page: 107042Publication Date:Open Access(OA) Status: OPENLicense: cc-byDOI - Digital Object Identifier: 10.1016/j.cmpb.2022.107042Best OA location URL: https://doi.org/10.1016/j.cmpb.2022.107042Citation Count: 29