Pegah Kassraian
Title
Cited by
Cited by
Year
Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example
P Kassraian-Fard, C Matthis, JH Balsters, MH Maathuis, N Wenderoth
Frontiers in psychiatry 7, 177, 2016
602016
Corticostriatal connectivity fingerprints: Probability maps based on resting‐state functional connectivity
E Jaspers, JH Balsters, P Kassraian Fard, D Mantini, N Wenderoth
Human brain mapping 38 (3), 1478-1491, 2017
242017
Neural activity related to volitional regulation of cortical excitability
K Ruddy, J Balsters, D Mantini, Q Liu, P Kassraian-Fard, N Enz, E Mihelj, ...
Elife 7, e40843, 2018
162018
A generative growth model for thalamocortical axonal branching in primary visual cortex
PK Fard, M Pfeiffer, R Bauer
bioRxiv, 288522, 2018
22018
A generative growth model for thalamocortical axonal branching in primary visual cortex
P Kassraian-Fard, M Pfeiffer, R Bauer
PLoS computational biology 16 (2), e1007315, 2020
12020
Anatomy and activity patterns in a multifunctional motor neuron and its surrounding circuits
M Ashaber*, Y Tomina*, P Kassraian*, EA Bushong, WB Kristan, ...
Elife 10, e61881, 2021
2021
Software-A Generative Growth Model for Thalamocortical Axonal Branching in Primary Visual Cortex: MATLAB implementation for the generation of axonal morphologies
P Kassraian Fard
ETH Zurich, 2018
2018
Multivariate Analysis Methods in Cognitive Neuroimaging: Applications in Basic and Clinical Research
P Kassraian Fard
ETH Zurich, 2018
2018
'Light-Guided Sectioning'for Precise Localization and 3D Visualization of In Situ Optical Implants
A Kahan, A Greenbaum, MJ Jang, JE Robinson, JR Cho, X Chen, ...
Available at SSRN 3744424, 0
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