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Muhammad Yousefnezhad, Ph.D.

Affiliations: 
2014-2018 Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing Shi, Jiangsu Sheng, China 
 2019- Computing Science University of Alberta, Edmonton, Alberta, Canada 
Area:
Big data, deep learning, probabilistic graphical models, neuroimage analysis, health records analysis, bioinformatics, cybernetics
Website:
https://www.yousefnezhad.com/
Google:
"Muhammad Yousefnezhad"
Bio:

I am a postdoc fellow in the department of computing science and the department of psychiatry at the University of Alberta. My research interests lie in developing machine learning approaches with application to mental health data and neuroimaging such as fMRI, EEG, DTI, etc. Website: yousefnezhad.com Blog: learningbymachine.com

Mean distance: 106866
 
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Parents

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Daoqiang Zhang grad student 2014-2018 Nanjing University of Aeronautics and Astronautics
Andrew J. Greenshaw post-doc 2019- University of Alberta
Russell Greiner post-doc 2019- University of Alberta

Children

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Publications

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Wang P, Cao X, Zhou Y, et al. (2023) A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface. Frontiers in Neuroscience. 17: 1086472
Huang S, Sun L, Yousefnezhad M, et al. (2023) Functional Alignment-Auxiliary Generative Adversarial Network-based Visual Stimuli Reconstruction via Multi-subject fMRI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Yousefnezhad M, Zhang D, Greenshaw AJ, et al. (2022) Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers in Neuroinformatics. 16: 994463
Sawalha J, Yousefnezhad M, Shah Z, et al. (2022) Detecting Presence of PTSD Using Sentiment Analysis From Text Data. Frontiers in Psychiatry. 12: 811392
Sawalha J, Yousefnezhad M, Selvitella AM, et al. (2021) Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. Scientific Reports. 11: 16723
Yousefnezhad M, Sawalha J, Selvitella A, et al. (2020) Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics
Chen J, Tan J, Greenshaw AJ, et al. (2020) CACNB2 rs11013860 polymorphism correlates of prefrontal cortex thickness in bipolar patients with first-episode mania. Journal of Affective Disorders. 268: 82-87
Yousefnezhad M, Selvitella A, Han L, et al. (2020) Supervised Hyperalignment for multi-subject fMRI data alignment Ieee Transactions On Cognitive and Developmental Systems. 1-1
Yousefnezhad M, Zhang D. (2018) Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics
Yousefnezhad M, Huang SJ, Zhang D. (2017) WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. Ieee Transactions On Cybernetics
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