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ORCIDSeyed Kamaledin Setarehdan
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2020 – today
- 2021
[i2]Elham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Binti Rahman, Nur Aishah Taib, Sarinder Kaur Dhillon:
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks. CoRR abs/2102.11519 (2021)- 2020
- [j17]Morteza Zangeneh Soroush, Keivan Maghooli
, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi:
Emotion recognition using EEG phase space dynamics and Poincare intersections. Biomed. Signal Process. Control. 59: 101918 (2020) - [j16]Naser Hakimi, Ata Jodeiri, Mahya Mirbagheri, Seyed Kamaledin Setarehdan:
Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy. Comput. Biol. Medicine 121: 103810 (2020) - [i1]Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi, Vahid Zakeri, Seyed Kamaledin Setarehdan:
Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach. CoRR abs/2002.06282 (2020)
2010 – 2019
- 2019
- [j15]Shabnam Firooz, Seyed Kamaledin Setarehdan:
IQ estimation by means of EEG-fNIRS recordings during a logical-mathematical intelligence test. Comput. Biol. Medicine 110: 218-226 (2019) - [j14]Morteza Zangeneh Soroush, Keivan Maghooli, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi:
A novel EEG-based approach to classify emotions through phase space dynamics. Signal Image Video Process. 13(6): 1149-1156 (2019) - 2018
- [j13]Elham Askari, Seyed Kamaledin Setarehdan, Ali Sheikhani, Mohammad Reza Mohammadi, Mohammad Teshnehlab:
Modeling the connections of brain regions in children with autism using cellular neural networks and electroencephalography analysis. Artif. Intell. Medicine 89: 40-50 (2018) - [j12]Mohammad Karimi Moridani, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi, Esmaeil Hajinasrollah:
A Novel Approach to Mortality Prediction of ICU Cardiovascular Patient Based on Fuzzy Logic Method. Biomed. Signal Process. Control. 45: 160-173 (2018) - [j11]Elnaz Eilbeigi, Seyed Kamaledin Setarehdan:
Detecting intention to execute the next movement while performing current movement from EEG using global optimal constrained ICA. Comput. Biol. Medicine 99: 63-75 (2018) - [j10]Elnaz Eilbeigi, Seyed Kamaledin Setarehdan:
Global optimal constrained ICA and its application in extraction of movement related cortical potentials from single-trial EEG signals. Comput. Methods Programs Biomed. 166: 155-169 (2018) - 2017
- [j9]Reza Arefi Shirvan, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi:
A new approach to estimating the evoked hemodynamic response applied to dual channel functional near infrared spectroscopy. Comput. Biol. Medicine 84: 9-19 (2017) - [j8]Fahimeh Sadat Zakeri, Seyed Kamaledin Setarehdan, Somayye Norouzi:
Automatic media-adventitia IVUS image segmentation based on sparse representation framework and dynamic directional active contour model. Comput. Biol. Medicine 89: 561-572 (2017) - [c14]Mehdi Eslamizadeh, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Javid Farhadi Sedehi, Seyed Kamaledin Setarehdan:
Lumen Border Segmentation at Intravascular Ultrasound Images Using Fuzzy Compound Approach. CinC 2017 - 2015
- [j7]Farideh Ebrahimi, Seyed Kamaledin Setarehdan, Homer Nazeran:
Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs. Biomed. Signal Process. Control. 18: 69-79 (2015) - 2013
- [j6]Arash Taki, Alireza Roodaki, Seyed Kamaledin Setarehdan, Sara Avansari, Gözde B. Ünal, Nassir Navab:
An IVUS image-based approach for improvement of coronary plaque characterization. Comput. Biol. Medicine 43(4): 268-280 (2013) - [j5]Farideh Ebrahimi, Seyed Kamaledin Setarehdan, Jose Ayala-Moyeda, Homer Nazeran:
Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. Comput. Methods Programs Biomed. 112(1): 47-57 (2013) - 2012
- [c13]Nima Hemmati, Seyed Kamaledin Setarehdan, H. Ahmadi Noubari:
Multi-channel Near-Infrared Spectroscopy (NIRS) system for noninvasive monitoring of brain activity. BHI 2012: 212-215 - 2011
- [c12]Edson Estrada, Homer Nazeran, Gustavo Sierra, Farideh Ebrahimi, Seyed Kamaledin Setarehdan:
Wavelet-based EEG denoising for automatic sleep stage classification. CONIELECOMP 2011: 295-298 - [c11]F. Yousefi Rizi, H. Ahmadi Noubari, Seyed Kamaledin Setarehdan:
Wavelet-based ultrasound image denoising: Performance analysis and comparison. EMBC 2011: 3917-3920 - [c10]Naeim Bahrami, Seyed Hamid Rezatofighi, Aliyeh Mahdavi Adeli, Seyed Kamaledin Setarehdan:
Boundary delineation for hepatic hemangioma in ultrasound images. EMBC 2011: 7989-7992 - [c9]Seyed Navid Resalat, Seyed Kamaledin Setarehdan, Fardin Afdideh, Ali Heidarnejad:
Appropriate twinkling frequency and inter-sources distance selection in SSVEP-based HCI systems. ICSIPA 2011: 12-15 - [c8]Amoon Jamzad, Seyed Kamaledin Setarehdan:
Simulation of the twinkling artifact in color flow Doppler sonography: A phase noise hypothesis validation. ICSIPA 2011: 22-27 - [c7]Elham Fathi-Azar, Seyed Kamaledin Setarehdan:
Type2 fuzzy set based automatic shadow region segmentation in intra vascular ultrasound images. ICSIPA 2011: 354-359
2000 – 2009
- 2009
- [c6]Arash Taki, Alireza Roodaki, Olivier Pauly, Seyed Kamaledin Setarehdan, Gozde B. Unal, Nassir Navab:
A New Method for Characterization of Coronary Plaque Composition Via Ivus Images. ISBI 2009: 787-790 - 2008
- [j4]Babak Mohammadzadeh Asl, Seyed Kamaledin Setarehdan, Maryam Mohebbi:
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif. Intell. Medicine 44(1): 51-64 (2008) - [j3]Arash Taki, Zahra Najafi, Alireza Roodaki, Seyed Kamaledin Setarehdan, Reza Aghaeizadeh Zoroofi, Andreas König, Nassir Navab:
Automatic segmentation of calcified plaques and vessel borders in IVUS images. Int. J. Comput. Assist. Radiol. Surg. 3(3-4): 347-354 (2008) - [j2]Mehrsan Javan Roshtkhari, Seyed Kamaledin Setarehdan:
A novel algorithm for straightening highly curved images of human chromosome. Pattern Recognit. Lett. 29(9): 1208-1217 (2008) - 2007
- [c5]Ashkan Yazdani, Seyed Kamaledin Setarehdan:
Classification of EEG signals correlated with alcohol abusers. ISSPA 2007: 1-4 - 2006
- [j1]Mehdi Moradi, Seyed Kamaledin Setarehdan:
New features for automatic classification of human chromosomes: A feasibility study. Pattern Recognit. Lett. 27(1): 19-28 (2006) - [c4]Babak Mohammadzadeh Asl, Seyed Kamaledin Setarehdan:
Neural network based arrhythmia classification using Heart Rate Variability signal. EUSIPCO 2006: 1-4 - 2005
- [c3]Farid Atry, Amir H. Omidvarnia, Seyed Kamaledin Setarehdan:
Model based EEG signal purification to improve the accuracy of the bci systems. EUSIPCO 2005: 1-4 - [c2]Amir H. Omidvarnia, Farid Atry, Seyed Kamaledin Setarehdan, Babak N. Arabi:
Kalman filter parameters as a new EEG feature vector for BCI applications. EUSIPCO 2005: 1-4 - 2003
- [c1]Mehdi Moradi, Seyed Kamaledin Setarehdan, S. R. Ghaffari:
Automatic Locating the Centromere on Human Chromosome Pictures. CBMS 2003: 56-61
Coauthor Index
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