Maziar Yaesoubi
Maziar Yaesoubi
The Mind Research Network
Verified email at - Homepage
Cited by
Cited by
Robust patch-based hdr reconstruction of dynamic scenes.
P Sen, NK Kalantari, M Yaesoubi, S Darabi, DB Goldman, E Shechtman
ACM Trans. Graph. 31 (6), 203:1-203:11, 2012
Higher dimensional meta-state analysis reveals reduced resting fMRI connectivity dynamism in schizophrenia patients
RL Miller, M Yaesoubi, JA Turner, D Mathalon, A Preda, G Pearlson, ...
PloS one 11 (3), e0149849, 2016
Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information
M Yaesoubi, EA Allen, RL Miller, VD Calhoun
Neuroimage 120, 133-142, 2015
Mutually temporally independent connectivity patterns: A new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on …
M Yaesoubi, RL Miller, VD Calhoun
NeuroImage 107, 85-94, 2015
The spatial chronnectome reveals a dynamic interplay between functional segregation and integration
A Iraji, TP Deramus, N Lewis, M Yaesoubi, JM Stephen, E Erhardt, ...
Human brain mapping 40 (10), 3058-3077, 2019
A window‐less approach for capturing time‐varying connectivity in f MRI data reveals the presence of states with variable rates of change
M Yaesoubi, T Adalı, VD Calhoun
Human brain mapping 39 (4), 1626-1636, 2018
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patients
RL Miller, M Yaesoubi, VD Calhoun
2014 36th annual international conference of the IEEE engineering in …, 2014
A joint time-frequency analysis of resting-state functional connectivity reveals novel patterns of connectivity shared between or unique to schizophrenia patients and healthy …
M Yaesoubi, RL Miller, J Bustillo, KO Lim, J Vaidya, VD Calhoun
NeuroImage: Clinical 15, 761-768, 2017
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivity
M Yaesoubi, RL Miller, VD Calhoun
PLoS One 12 (2), e0171647, 2017
The cost-effectiveness of alternative vaccination strategies for polyvalent meningococcal vaccines in Burkina Faso: A transmission dynamic modeling study
R Yaesoubi, C Trotter, C Colijn, M Yaesoubi, A Colombini, S Resch, ...
PLoS medicine 15 (1), e1002495, 2018
Machine transcription conversion between Perso-Arabic and Romanized writing systems
M Yaesoubi
Frequency-aware summarization of resting-state fMRI data
M Yaesoubi, RF Silva, A Iraji, VD Calhoun
Frontiers in Systems Neuroscience 14, 16, 2020
Cross-frequency rs-fMRI network connectivity patterns manifest differently for schizophrenia patients and healthy controls
RL Miller, M Yaesoubi, VD Calhoun
IEEE signal processing letters 23 (8), 1076-1080, 2016
Mutually temporally independent connectivity patterns: a new framework to study resting state brain dynamics with application to explain group difference based on gender
M Yaesoubi, RL Miller, VD Calhoun
NeuroImage 107, 85, 2015
Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients
RL Miller, M Yaesoubi, VD Calhoun, S Gopal
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
Temporally independent connectivity patterns: A new perspective on the study of human brain dynamics
M Yaesoubi, R Miller, VD Calhoun
Proceedings of the Organization of Human Brain Mapping, 2014
Characterization of connectivity dynamics in intrinsic brain networks
V Calhoun, M Yaesoubi, B Rashid, R Miller
2013 IEEE Global Conference on Signal and Information Processing, 831-834, 2013
Applying Finite State Morphology to Conversion Between Roman and Perso-Arabic Writing Systems
J Maleki, M Yaesoubi, L Ahrenberg
Finite-State Methods and Natural Language Processing 191, 215-223, 2009
Method and system for feature extraction and decision making from series of images
S Krishna, S Krishna, MM Hayat, P Sen, M Yaesoubi, SE Godoy, ...
US Patent 9,471,974, 2016
Adaptive windowing and windowless approaches to estimate dynamic functional brain connectivity
M Yaesoubi, VD Calhoun
Wavelets and Sparsity XVII 10394, 246-256, 2017
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