Contact information
Research groups
Hossein Rafipoor
Postdoctoral Researcher
Research interests
I am interested in methods development for brain imaging studies. My research focuses on understanding the relations between diffusion MRI and brain functional organization. The findings may lead to developing new tools to predict brain responses to novel stimuli merely based on structural or task free imaging data.
I did an undergraduate degree in Electrical Engineering at Sharif University of Technology, Tehran, Iran. In my thesis, I implemented a state of the art convolutional neural network on a graphics processing unit for the classification of handwritten digits. Afterward, I did an M.Sc. in Artificial Intelligence at University of Tehran, Iran, which helped me to develop skills in machine learning and data sciences. In my master’s thesis, I studied neural circuits involved in decision making and developed a computational model for decision making in volatile environments.
Upon completion of the Master’s program, I got a research position in the bio-math department at the Institute for Physics and Mathematics (IPM) in Tehran. There I studied resting-state dynamics of brain networks through simultaneous EEG and fMRI recording. It was a brilliant opportunity for me to gain valuable experience in brain imaging data recording and analysis.
Recent publications
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WHIM Fixel Template
Dataset
Rafipoor H. et al, (2023)
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Complementary hemispheric lateralization of language and social processing in the human brain.
Journal article
Rajimehr R. et al, (2022), Cell Rep, 41
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Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy.
Journal article
Rafipoor H. et al, (2022), Neuroimage, 260
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Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.
Journal article
Zheng Y-Q. et al, (2022), Neuroimage, 259
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Compound words are decomposed regardless of semantic transparency and grammatical class: An fMRI study in Persian
Journal article
Momenian M. et al, (2021), LINGUA, 259