Pegah Kassraian Fard
TitleCited byYear
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
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
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
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
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
Multivariate Analysis Methods in Cognitive Neuroimaging: Applications in Basic and Clinical Research
P Kassraian Fard
ETH Zurich, 2018
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Articles 1–6