Mo Shahdloo

I am a researcher at Oxford Centre for Functional MR Imaging of the Brain (FMRIB), University of Oxford, working with Mark Chiew.

I had my undergraduate degree in Electrical Engineering from Amirkabir University, Tehran. After working as an embedded systems developer for a couple of years, I moved to Ankara where I did my graduate work in the lab of Tolga Çukur.

My research centers on developing methods to make MR imaging faster and more accurate. Recently, I am focused on reducing motion artifacts in functional MRI in awake non-human primates and in rodents. Also, I develop computational models to map representation of visual and auditory natural stimuli in the human brain.
Below, you can peek into the stuff I am busy doing these days.


Please use this bibliography file to cite any of the works below.


Conference publications


  • Motion-correction for awake non-human primate fMRI
    Functional imaging of awake non-human primates is challenging not only due to their smaller brain size, but also due to excessive local field fluctuations due to animals' motion. Using a novel pulse sequence, efficient reconstruction techniques, and a custom-made multi-channel coil we aim to perform accelerated functional scans of awake monkeys.

  • Trade off between fat-suppression and partial-voluming in bSSFP acquisitions
    Fat-suppression in bSSFP can be achieved using weighted average of in-phase and out-of-phase acquisitions raised to a negative power. We studied the effects of the power parameter on the trade off between fat-suppression and partial voluming under various experimental setups. We devised optimal parameter values meeting the fat-suppression and partial voluming requirements.

  • Temporal receptive windows in the brain mapped via deep language networks
    Using a natural story listening experimental paradigm, we use computational models based on deep neural networks to study the effect of context integration on the representation of a large dictionary of words across the cortex. We are further interested in studying the attentional modulations of this property across cortex.


  • K-space and image reconstruction
    This talk provides some intuition about the concept of spatial encoding in MRI by introducing the k-space, and elaborates more on some of the special sampling scenarios. Also, introduction to baiscs of parallel imaging is provided. This talk was presented during the educational course at ISMRM British Chapter MR-Fest 2021

Open Reviews

To encourage transparency of the academic publication ecosystem, I sign the manuscript peer reviews that I am solicited to do, and publish them both here and on PubPeer whenever possible (i.e., when a preprint is posted online).


Here is my recent CV -> in HTML , and in PDF

Without music, life would be a mistake ― Friedrich Nietzsche