Farzaneh Keyvanfard
Farzaneh Keyvanfard
Postdoctoral Scholar at IPM
Verified email at aut.ac.ir - Homepage
Title
Cited by
Cited by
Year
Feature selection and classification of breast MRI lesions based on Multi classifier
F Keyvanfard, MA Shoorehdeli, M Teshnehlab
2011 International Symposium on Artificial Intelligence and Signal …, 2011
152011
Feature selection and classification of breast cancer on dynamic magnetic resonance imaging using ANN and SVM
F Keyvanfard, MA Shoorehdeli, M Teshnehlab
American Journal of Biomedical Engineering 1 (1), 20-25, 2011
152011
Specificity enhancement in classification of breast MRI lesion based on multi-classifier
F Keyvanfard, MA Shoorehdeli, M Teshnehlab, K Nie, MY Su
Neural Computing and Applications 22 (1), 35-45, 2013
102013
Interindividual Covariations of Brain Functional and Structural Connectivities Are Decomposed Blindly to Subnetworks: A Fusion‐Based Approach
F Keyvanfard, A Nasiraei‐Moghaddam, P Hagmann
Journal of Magnetic Resonance Imaging 51 (6), 1779-1788, 2020
2020
Fusion analysis of brain functional and structural connectivity to discriminate Schizophrenia in network level
F Keyvanfard
IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING 13 (2), 147-158, 2019
2019
Assessing the influence of functional connectivity estimation methods on graph metrics in resting-state fMRI
P Fardafshari, F Keyvanfard, A Nasiraei Moghaddam
Proceedings of 25th Iranian Conference on Biomedical Engineering (ICEE2017), 2017
2017
Targeted fMRI using radial acquisition and polar reconstruction
B Shafiei Zargar, F Keyvanfard, A Nasiraei Moghaddam
Proceedings of the 25th International Society for Magnetic Resonance in Medicine, 2017
2017
Structural basis of functional networks: A fMRI/DTI fusion approach in network level
F Keyvanfard, A Nassiraei Moghaddam
Proceedings of the 25th International Society for Magnetic Resonance in Medicine, 2017
2017
Adaptive Neuro Fuzzy System for Breast Cancer Classification on Magnetic Resonance Imaging
F Keyvanfard, M Basij, M Teshnehlab
AISP 2012, 2012
2012
Decomposition of brain structural connectivity using Independent component analysis
F Keyvanfard, AN Moghaddam, A Griffa, P Hagmann
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Articles 1–10