output
20052022
most citedVision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation

127 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

8 papers

cs.CV2022★ 5 cited

Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering

Antonia Hain, Daniel Jörgens, Rodrigo Moreno

Tractography has become an indispensable part of brain connectivity studies. However, it is currently facing problems with reliability. In particular, a substantial amount of nerve…

cs.LG2020★ 11 cited

Node-Centric Graph Learning from Data for Brain State Identification

Nafiseh Ghoroghchian, David M. Groppe, Roman Genov +2

Data-driven graph learning models a network by determining the strength of connections between its nodes. The data refers to a graph signal which associates a value with each graph…

stat.AP2018

Investigating Voice as a Biomarker for leucine-rich repeat kinase 2-Associated Parkinson's Disease

S. Arora, N. P. Visanji, T. A. Mestre +11

We investigate the potential association between leucine-rich repeat kinase 2 (LRRK2) mutations and voice. Sustained phonations ('aaah' sounds) were recorded from 7 individuals wit…

q-bio.NC2017★ 47 cited

Consciousness as a global property of brain dynamic activity

D. M. Mateos, R. Wennberg, R. Guevara +1

We seek general principles of the structure of the cellular collective activity associated with conscious awareness. Can we obtain evidence for features of the optimal brain organi…

cs.CV2017★ 127 cited

Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation

Michael H. Li, Tiago A. Mestre, Susan H. Fox +1

Objective: To apply deep learning pose estimation algorithms for vision-based assessment of parkinsonism and levodopa-induced dyskinesia (LID). Methods: Nine participants with Park…

q-bio.NC2017★ 1 cited

Measures of Entropy and Complexity in altered states of consciousness

D. M. Mateos, R. Guevara Erra, R. Wennberg +1

Quantification of complexity in neurophysiological signals has been studied using different methods, especially those from information or dynamical system theory. These studies rev…

q-bio.NC2016★ 74 cited

Towards a statistical mechanics of consciousness: maximization of number of connections is associated with conscious awareness

R. Guevara Erra, D. M. Mateos, R. Wennberg +1

It has been said that complexity lies between order and disorder. In the case of brain activity, and physiology in general, complexity issues are being considered with increased em…

physics.data-an2005★ 43 cited

Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data

D. A. Smirnov, M. B. Bodrov, J. L. Perez Velazquez +2

We demonstrate in numerical experiments that estimators of strength and directionality of coupling between oscillators based on modeling of their phase dynamics [D.A. Smirnov and B…