IPM Positions

PostDoctoral Associate, School of Cognitive Sciences (2018 - Present )

Research Activities

I received my Ph.D. in Biomedical Engineering in the field of functional neuroimaging at Amirkabir University of Technology (Tehran, Iran). In my thesis, I worked on developing MRI pulse sequences to acquire high-resolution fMRI at high-field. I implemented the proposed technique based on SSFP pulse sequence at Donders institute (Nijmegen, Netherlands) and acquired data by 7 Tesla scanner in Erwin L. Hahn institute (Essen, Germany) within my visiting scholar. My current position is to deal with developing advanced MRI techniques and Analysis Methods for Functional Neuroimaging studies under the supervision of Dr. Nasiraei Moghaddam. Another interest is to investigate and work on fMRI in its clinical applications

Related Papers

1.	V. Malekian, F. Rastegar, B. Shafieizargar and A. Nasiraei-Moghaddam SSFP fMRI at 3 tesla: Efficiency of polar acquisition-reconstruction technique Magnetic Resonance Imaging 74 (2020), 1-10  [abstract]

2.	V. Malekian, A. Moghaddam, A. Akhavan and GH. Hossein-Zadeh Efficient de-noising of high-resolution fMRI using local and sub-band information Journal of Neuroscience Methods 331 (2020), 1-10  [abstract]

3.	V. Malekian, Sh. Shalikar, F. Rastegar and A. Nasiraei Moghaddam SSFP-fMRI: Radial reading helps to Improve Temporal SNR ( In: Proc. Intl Soc Mag Reson Med. Conf. (Toronto, CA), 2019) [abstract]

4.	V. Malekian and A. Moghaddam Motor Mapping for Pre-surgical Planning Using Seed-based Resting-State fMRI Approach ( In: 36th Proc. ESMRMb (Rotterdam, NL). Vol. 36. 2019) [abstract]

5.	V. Malekian, A. Nasiraei-Moghaddam and M. Khajehim A robust SSFP technique for fMRI at ultra-high field strengths Magnetic Resonance Imaging 50 (2018), 17-25  [abstract]