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Volker Roth

Showing results (21-30 of 50) with videos related to

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Brain Communications|December 28, 2020
Cognitive decline in Parkinson's disease is associated with reduced complexity of EEG at baselineSebastian M Keller, Ute Gschwandtner, Antonia Meyer, et al.
Frontiers in Neuroscience|August 30, 2021
Dynamic Functional Connectivity of EEG: From Identifying Fingerprints to Gender Differences to a General Blueprint for the Brain's Functional OrganizationUte Gschwandtner, Guy Bogaarts, Menorca Chaturvedi, et al.
Frontiers in Aging Neuroscience|July 7, 2020
EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson's DiseaseVitalii V Kozak, Menorca Chaturvedi, Ute Gschwandtner, et al.
Frontiers in Aging Neuroscience|February 8, 2017
Quantitative EEG (QEEG) Measures Differentiate Parkinson's Disease (PD) Patients from Healthy Controls (HC)Menorca Chaturvedi, Florian Hatz, Ute Gschwandtner, et al.
BMC Bioinformatics|November 2, 2010
Infinite mixture-of-experts model for sparse survival regression with application to breast cancerSudhir Raman, Thomas J Fuchs, Peter J Wild, et al.
Personality Disorders|April 24, 2020
Silence in the psychotherapy of adolescents with borderline personality pathologyRonan Zimmermann, Lukas Fürer, Nathalie Schenk, et al.
Analytical Chemistry|November 16, 2005
NovoHMM: a hidden Markov model for de novo peptide sequencingBernd Fischer, Volker Roth, Franz Roos, et al.
Annals of Clinical and Translational Neurology|December 26, 2014
Power spectra for screening parkinsonian patients for mild cognitive impairmentHabib Bousleiman, Ronan Zimmermann, Shaheen Ahmed, et al.
Plos One|November 13, 2018
Improving counterfactual reasoning with kernelised dynamic mixing modelsSonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|August 25, 2019
Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson's diseaseMenorca Chaturvedi, Jan Guy Bogaarts, Vitalii V Kozak Cozac, et al.
Pageof 5

Showing results (21-30 of 50) with videos related to

Sort By:
Pageof 5
Brain Communications|December 28, 2020
Cognitive decline in Parkinson's disease is associated with reduced complexity of EEG at baselineSebastian M Keller, Ute Gschwandtner, Antonia Meyer, et al.
Frontiers in Neuroscience|August 30, 2021
Dynamic Functional Connectivity of EEG: From Identifying Fingerprints to Gender Differences to a General Blueprint for the Brain's Functional OrganizationUte Gschwandtner, Guy Bogaarts, Menorca Chaturvedi, et al.
Frontiers in Aging Neuroscience|July 7, 2020
EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson's DiseaseVitalii V Kozak, Menorca Chaturvedi, Ute Gschwandtner, et al.
Frontiers in Aging Neuroscience|February 8, 2017
Quantitative EEG (QEEG) Measures Differentiate Parkinson's Disease (PD) Patients from Healthy Controls (HC)Menorca Chaturvedi, Florian Hatz, Ute Gschwandtner, et al.
BMC Bioinformatics|November 2, 2010
Infinite mixture-of-experts model for sparse survival regression with application to breast cancerSudhir Raman, Thomas J Fuchs, Peter J Wild, et al.
Personality Disorders|April 24, 2020
Silence in the psychotherapy of adolescents with borderline personality pathologyRonan Zimmermann, Lukas Fürer, Nathalie Schenk, et al.
Analytical Chemistry|November 16, 2005
NovoHMM: a hidden Markov model for de novo peptide sequencingBernd Fischer, Volker Roth, Franz Roos, et al.
Annals of Clinical and Translational Neurology|December 26, 2014
Power spectra for screening parkinsonian patients for mild cognitive impairmentHabib Bousleiman, Ronan Zimmermann, Shaheen Ahmed, et al.
Plos One|November 13, 2018
Improving counterfactual reasoning with kernelised dynamic mixing modelsSonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|August 25, 2019
Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson's diseaseMenorca Chaturvedi, Jan Guy Bogaarts, Vitalii V Kozak Cozac, et al.
Pageof 5