Farzaneh Keyvanfard

Publication

Journal Papers

- M. Naghipoor-Alamdari, J. Zamani, F. Keyvanfard, A. Nasiraei-Moghadam. "High-Efficiency Graph Measures for Discriminating Schizophrenia Patients from Healthy Controls Using Structural and Functional Connectivity", Frontiers Biomed Technol. 2024.

- F. Keyvanfard, A. R. Nasab, and A. Nasiraei-Moghaddam, "Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach", Front. Neuroinform., vol. 17, 2023, doi: 10.3389/fninf.2023.1175886.

- F. Keyvanfard, A. Katharina Schmid, A. Nasiraei-Moghaddam, "Functional Connectivity Alterations of Within and Between Networks in Schizophrenia: A Retrospective Study", Basic and Clinical Neuroscience, 2022, doi: 10.32598/bcn.2022.3928.2.

- F. Keyvanfard, A. Nasiraei-Moghaddam, and P. Hagmann, "Interindividual Covariations of Brain Functional and Structural Connectivities Are Decomposed Blindly to Subnetworks: A Fusion-Based Approach", J. Magn. Reson. Imaging, vol. 51, no. 6, pp. 1779-1788, 2020, doi: 10.1002/jmri.26988.

- F. Keyvanfard, M. A. Shoorehdeli, M. Teshnehlab, K. Nie, and M. Y. Su, "Specificity enhancement in classification of breast MRI lesion based on multi-classifier", Neural Comput. Appl., vol. 22, no. SUPPL.1, pp. 35-45, 2013, doi: 10.1007/s00521-012-0937-y.

- F. Keyvanfard and A. Nasiraei Moghaddam, "Fusion Analysis of Brain Functional and Structural Connectivity to Discriminate Schizophrenia in Network Level", Iran. J. Biomed. Eng., vol. 13, no. 2, pp. 147–158, 2019, doi: 10.22041/ijbme.2019.102379.1453. (In Persian)

- F. Keyvanfard, A. Rahiminasab, and A. Nasiraei Moghaddam, "Statistical Analysis of Altered Brain Structural and Functional Connectivity in Schizophrenia Patients", Iran. J. Biomed. Eng., vol. 15, no. 3, pp. 211–220, 2021, doi: 10.22041/ijbme.2021.533988.1704. (In Persian)

Conference Papers

-F. Keyvanfard, A. Nasiraei-Moghaddam and P. Hagmann, "Graph Joint ICA as a Method for Network Level Fusion: A Validation Study", Proceedings of 34th European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), P 877, Barcelona, 2018.

-F. Keyvanfard, A. Nasiraei-Moghaddam, A. Griffa and P. Hagmann, "Decomposition of brain structural connectivity using Independent component analysis", Proceedings of 26th International Society for Magnetic Resonance in Medicine (ISMRM), France, p 5221, 2018.

-F. Keyvanfard, A. Nasiraei-Moghaddam, "Structural basis of functional networks: A fMRI/DTI fusion approach in network level", Proceedings of the 25th ISMRM, USA, p 5373, 2017.

- B. Shafiei Zargar, F. Keyvanfard, A. Nasiraei-Moghaddam, "Targeted fMRI using radial acquisition and polar reconstruction", Proceedings of 25th ISMRM, USA, p 5263, 2017.

-P. Fardafshari, F. Keyvanfard, A. Nasiraei-Moghaddam, "Assessing the influence of functional connectivity estimation methods on graph metrics in resting-state fMRI", Proceedings of the 25th Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, 2017.

-F. Keyvanfard, A. Nasiraei-Moghaddam, "How imaging parameters change DTI indices in the voxel containing crossing fibers? A Monte Carlo simulation study", Proceeding of the 7th International Conference of Cognitive Science (ICCS), Tehran, Iran, 2017.

- F. Keyvanfard, M. Khajehim, A. Nasiraei-Moghaddam, "Assessing the Influence of DTI Processing Software in Detection of Brain Regions Involved in Alzheimer’s Disease", Proceeding of the 7th International Conference of Cognitive Science (ICCS), Tehran, Iran, 2017.

- P. Fardafshari, F. Keyvanfard, A. Nasiraei-Moghaddam, "Does Method of Functional Connectivity Estimation Affect the Small-worldness Index", Proceeding of the 7th International Conference of Cognitive Science (ICCS), Tehran, Iran, 2017.

- F. Keyvanfard, M. A. Shoorehdeli, M. Teshnehlab, "Feature selection and classification of breast MRI lesions based on Multi classifier", IEEE Proceedings of the 15th CSI Symposium on Artificial Intelligence and Signal Processing (AISP 2011), Tehran, Iran, 2011.

- F. Keyvanfard, M. Teshnehlab, M. A. Shoorehdeli, K. Nie, and M. Y. Su, "Feature selection and classification of breast cancer on dynamic Magnetic Resonance Imaging by using artificial neural networks", IEEE Proceedings of the 17th Iranian Conference of Biomedical Engineering (ICBME 2010), Isfahan, Iran, 2010.