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Neurophotonics|August 26, 2017
Graph theoretical approach to functional connectivity in prefrontal cortex via fNIRSZahra Einalou, Keivan Maghooli, Seyaed Kamaledin Setarehdan, et al.Frontiers in Psychology|February 23, 2024
Sex based differences in functional connectivity during a working memory task: an fNIRS studySima Shirzadi, Mehrdad Dadgostar, Zahra Einalou, et al.Journal of Medical Signals and Sensors|December 29, 2016
Human Verification Using a Combination of Static and Dynamic Characteristics in Foot Pressure ImagesFereshteh E Zare, Keivan MaghooliScientific Reports|October 8, 2020
An innovative approach for determining the customized refractive index of ectatic corneas in cataractous patientsShiva Pirhadi, Keivan Maghooli, Khosrow JadidiTechnology and Health Care : Official Journal of the European Society for Engineering and Medicine|August 2, 2017
Evaluating the features of the brain waves to quantify ADHD improvement by neurofeedbackPeyman Dehghanpour, Zahra EinalouJournal of Medical Signals and Sensors|October 10, 2014
The emotion recognition system based on autoregressive model and sequential forward feature selection of electroencephalogram signalsSepideh Hatamikia, Keivan Maghooli, Ali Motie NasrabadiJournal of Medical Signals and Sensors|November 17, 2025
A Fuzzy Cognitive Map-based Framework for Alzheimer's Disease Diagnosis Using Multimodal Magnetic Resonance Imaging-Positron Emission Tomography RegistrationSeyed Assef Mahdavi, Keivan Maghooli, Fardad FarokhiJournal of Medical Signals and Sensors|March 15, 2018
Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector MachineNiloofar Yousefi Moteghaed, Keivan Maghooli, Masoud GarshasbiMedical & Biological Engineering & Computing|November 18, 2021
Synthetic OCT data in challenging conditions: three-dimensional OCT and presence of abnormalitiesHajar Danesh, Keivan Maghooli, Alireza Dehghani, et al.Basic and Clinical Neuroscience|June 22, 2023
A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector MachineSara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.Pageof 6