Reza Akbari Movahed
- PhD Student in Computing Science
Glasgow, Glasgow City, Scotland, United Kingdom, Sir Alwyn William Building, G12 8QN
https://orcid.org/0000-0002-3163-3893
Research title: Bayesian Deep Atlases for Cardiac Motion Abnormality Assessment by Integrating Imaging and Metadata
Research summary
My research interst lies in using machine learning and deep learning techniques in biomedical and medicine applications to discover novel biological information and biomarkers for various diseases based on different biomedical data which can be used for the optimum treatment amd diagnosis selection. Currently, I am working on cardiac motion abnormality assessment based on the sequences of cardiac magnetic resonance (CMR) images using novel probabisltic deep learning models, which can be used by cardiologists and health care centers to facilitate and improve the early identification of heart motion abnormality which is strongly correlated with Cardiovascular diseases (CVDs).
Publications
Prior publications
Article
Ahmad Afzali, Ali Khaleghi, Boshra Hatef, Reza Akbari Movahed, Gila Pirzad Jahromi (2023) Automated major depressive disorder diagnosis using a dual-input deep learning model and image generation from EEG signals Waves in Random and Complex Media Reza Akbari Movahed. ISSN 1745-5049 (doi: 10.1080/17455030.2023.2187237)
Reza Akbari Movahed (2022) A major depressive disorder diagnosis approach based on EEG signals using dictionary learning and functional connectivity features Physical and Engineering Sciences in Medicine Reza Akbari Movahed. ISSN 2662-4737 (doi: 10.1007/s13246-022-01135-1)
Reza Akbari Movahed (2021) A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis Journal of Neuroscience Methods Reza Akbari Movahed. ISSN 0165-0270 (doi: 10.1016/j.jneumeth.2021.109209)
Movahed, R.A., Mohammadi, E., Orooji, M. (2019) Automatic segmentation of Sperm's parts in microscopic images of human semen smears using concatenated learning approaches Computers in Biology and Medicine Scopus - Elsevier. (doi: 10.1016/j.compbiomed.2019.04.032)
Conference Proceedings
Reza Akbari Movahed (2021) An Automated EEG-based mild cognitive impairment diagnosis framework using spectral and functional connectivity features 2021 28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME) Reza Akbari Movahed. (doi: 10.1109/icbme54433.2021.9750291)
Reza Akbari Movahed (2020) A Face Recognition Framework Based on the Integration of Eigenfaces Algorithm and Image Registration Technique 2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Reza Akbari Movahed. (doi: 10.1109/icbme51989.2020.9319457)
Reza Akbari Movahed (2019) An Image Watermarking Algorithm for Medical Computerized Tomography Images 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) Reza Akbari Movahed. (doi: 10.1109/icspis48872.2019.9066018)
Movahed, R.A., Orooji, M. (2018) A Learning-Based Framework for the Automatic Segmentation of Human Sperm Head, Acrosome and Nucleus 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering, ICBME 2018 Scopus - Elsevier. (doi: 10.1109/ICBME.2018.8703544)
