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BMC Medical Informatics and Decision Making|September 25, 2021
Applying nonlinear measures to the brain rhythms: an effective method for epilepsy diagnosisAli Torabi, Mohammad Reza Daliri
International Journal of Medical Informatics|August 30, 2018
A novel mixed sustainability-resilience framework for evaluating hospital information systemsS Motevali Haghighi, S Ali Torabi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diagnosis of schizophrenia using an extended multivariate autoregressive model for EEGsAli Torabi, James Reilly, Duncan MacCrimmon
Scientific Reports|February 21, 2023
Three-decade assessment of dry and wet spells change across Iran, a fingerprint of climate changeArmita Motamedi, Alireza Gohari, Ali Torabi Haghighi
Journal of Hazardous Materials|November 5, 2024
Dust over water: Analyzing the impact of lake desiccation on dust storms on the Iranian PlateauAmirhossein Ahrari, Anandharuban Panchanathan, Ali Torabi Haghighi
American Journal of Physiology. Regulatory, Integrative and Comparative Physiology|June 11, 2005
P2X2 and P2X3 receptor expression in postnatal and adult rat urinary bladder and lumbosacral spinal cordSimon Studeny, Ali Torabi, Margaret A Vizzard
Journal of Environmental Management|August 8, 2024
Anthropogenic vs. climatic drivers: Dissecting Lake desiccation on the Iranian plateauAmirhossein Ahrari, Alireza Sharifi, Ali Torabi Haghighi
The Science of the Total Environment|May 18, 2025
A framework for assessing uncertainties in drought projections under climate change: Insights from CMIP6 modelsOmid Zabihi, Azadeh Ahmadi, Ali Torabi Haghighi
International Journal of Reproductive Biomedicine|September 12, 2019
Granulosa cells exposed to fibroblast growth factor 8 and 18 reveal early onset of cell growth and survivalFatemeh Amin Marashi, Ali Torabi, Francis Beaudry
Australasian Physical & Engineering Sciences in Medicine|September 10, 2017
Diagnosis of multiple sclerosis from EEG signals using nonlinear methodsAli Torabi, Mohammad Reza Daliri, Seyyed Hojjat Sabzposhan
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