Reza Boostani
Reza Boostani
Professor of Biomedical Engineering, CSE & IT Dept, ECE Faculty, Shiraz University
Verified email at - Homepage
Cited by
Cited by
Evaluation of the forearm EMG signal features for the control of a prosthetic hand
R Boostani, MH Moradi
Physiological measurement 24 (2), 309, 2003
A comparative review on sleep stage classification methods in patients and healthy individuals
R Boostani, F Karimzadeh, M Nami
Computer methods and programs in biomedicine 140, 77-91, 2017
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
M Sabeti, S Katebi, R Boostani
Artificial intelligence in medicine 47 (3), 263-274, 2009
Lung nodule segmentation and recognition using SVM classifier and active contour modeling: A complete intelligent system
M Keshani, Z Azimifar, F Tajeripour, R Boostani
Computers in biology and medicine 43 (4), 287-300, 2013
Contourlet-based mammography mass classification using the SVM family
F Moayedi, Z Azimifar, R Boostani, S Katebi
Computers in biology and medicine 40 (4), 373-383, 2010
A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier
R Boostani, MH Moradi
Journal of Neural Engineering 1 (4), 212, 2004
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm
E Parvinnia, M Sabeti, MZ Jahromi, R Boostani
Journal of King Saud University-Computer and Information Sciences 26 (1), 1-6, 2014
An efficient classifier to diagnose of schizophrenia based on the EEG signals
R Boostani, K Sadatnezhad, M Sabeti
Expert Systems with Applications 36 (3), 6492-6499, 2009
A new approach for EEG signal classification of schizophrenic and control participants
M Sabeti, SD Katebi, R Boostani, GW Price
Expert Systems with Applications 38 (3), 2063-2071, 2011
Selection of relevant features for EEG signal classification of schizophrenic patients
M Sabeti, R Boostani, SD Katebi, GW Price
Biomedical Signal Processing and Control 2 (2), 122-134, 2007
A comparison approach toward finding the best feature and classifier in cue-based BCI
R Boostani, B Graimann, MH Moradi, G Pfurtscheller
Medical & biological engineering & computing 45, 403-412, 2007
A multi-classifier approach to MUAP classification for diagnosis of neuromuscular disorders
T Kamali, R Boostani, H Parsaei
IEEE transactions on neural systems and rehabilitation engineering 22 (1 …, 2014
Classification of BMD and ADHD patients using their EEG signals
K Sadatnezhad, R Boostani, A Ghanizadeh
Expert Systems with Applications 38 (3), 1956-1963, 2011
Tramadol induced seizure: A 3-year study
R Boostani, S Derakhshan
Caspian journal of internal medicine 3 (3), 484, 2012
Predicting implantation outcome of in vitro fertilization and intracytoplasmic sperm injection using data mining techniques
P Hafiz, M Nematollahi, R Boostani, BN Jahromi
International journal of fertility & sterility 11 (3), 184, 2017
Prediction of acute myocardial infarction with artificial neural networks in patients with nondiagnostic electrocardiogram
J Kojuri, R Boostani, P Dehghani, F Nowroozipour, N Saki
Journal of Cardiovascular Disease Research 6 (2), 51, 2015
Classification of bipolar disorder and schizophrenia using steady-state visual evoked potential based features
F Alimardani, JH Cho, R Boostani, HJ Hwang
IEEE Access 6, 40379-40388, 2018
Chaotic based reconstructed phase space features for detecting ventricular fibrillation
M Roopaei, R Boostani, RR Sarvestani, MA Taghavi, Z Azimifar
Biomedical Signal Processing and Control 5 (4), 318-327, 2010
A distributed classification procedure for automatic sleep stage scoring based on instantaneous electroencephalogram phase and envelope features
F Karimzadeh, R Boostani, E Seraj, R Sameni
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (2 …, 2017
Reliable features for an ECG-based biometric system
N Ghofrani, R Boostani
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of, 1-5, 2010
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