| Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal BM Asl, SK Setarehdan, M Mohebbi Artificial intelligence in medicine 44 (1), 51-64, 2008 | 460 | 2008 |
| Advanced algorithmic approaches to medical image segmentation: state-of-the-art applications in cardiology, neurology, mammography and pathology SK Setarehdan, S Singh Springer Science & Business Media, 2012 | 273 | 2012 |
| Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky–Golay filtering S Jahani, SK Setarehdan, DA Boas, MA Yücel Neurophotonics 5 (1), 015003, 2018 | 206 | 2018 |
| New features for automatic classification of human chromosomes: A feasibility study M Moradi, SK Setarehdan Pattern recognition letters 27 (1), 19-28, 2006 | 114 | 2006 |
| Automatic segmentation of calcified plaques and vessel borders in IVUS images A Taki, Z Najafi, A Roodaki, SK Setarehdan, RA Zoroofi, A Konig, ... International Journal of Computer Assisted Radiology and Surgery 3, 347-354, 2008 | 109 | 2008 |
| A review on EEG signals based emotion recognition M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ... International Clinical Neuroscience Journal 4 (4), 118-129, 2017 | 105 | 2017 |
| Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals F Ebrahimi, SK Setarehdan, J Ayala-Moyeda, H Nazeran Computer methods and programs in biomedicine 112 (1), 47-57, 2013 | 101 | 2013 |
| Automatic cardiac LV boundary detection and tracking using hybrid fuzzy temporal and fuzzy multiscale edge detection SK Setarehdan, JJ Soraghan IEEE Transactions on Biomedical Engineering 46 (11), 1364-1378, 1999 | 74 | 1999 |
| Emotion classification through nonlinear EEG analysis using machine learning methods M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ... International Clinical Neuroscience Journal 5 (4), 135-149, 2018 | 73 | 2018 |
| Wavelet-based EEG denoising for automatic sleep stage classification E Estrada, H Nazeran, G Sierra, F Ebrahimi, SK Setarehdan CONIELECOMP 2011, 21st International Conference on Electrical Communications …, 2011 | 70 | 2011 |
| Different classification techniques considering brain computer interface applications S Rezaei, K Tavakolian, AM Nasrabadi, SK Setarehdan Journal of Neural Engineering 3 (2), 139, 2006 | 69 | 2006 |
| An ultrasound based technique for the determination of poultry egg quality M Aboonajmi, A Akram, T Nishizu, N Kondo, SK Setarehdan, ... Research in Agricultural Engineering 56 (1), 26-32, 2010 | 55 | 2010 |
| Emotion recognition using EEG phase space dynamics and Poincare intersections MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Biomedical Signal Processing and Control 59, 101918, 2020 | 52 | 2020 |
| Fisher linear discriminant based person identification using visual evoked potentials A Yazdani, A Roodaki, SH Rezatofighi, K Misaghian, SK Setarehdan 2008 9th International Conference on Signal Processing, 1677-1680, 2008 | 52 | 2008 |
| Automatic locating the centromere on human chromosome pictures M Moradi, SK Setarehdan, SR Ghaffari 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings., 56-61, 2003 | 51 | 2003 |
| Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient M Karimi Moridani, SK Setarehdan, A Motie Nasrabadi, E Hajinasrollah Journal of medical engineering & technology 40 (3), 87-98, 2016 | 50 | 2016 |
| A new approach for improving coronary plaque component analysis based on intravascular ultrasound images A Taki, H Hetterich, A Roodaki, SK Setarehdan, G Unal, J Rieber, ... Ultrasound in medicine & biology 36 (8), 1245-1258, 2010 | 47 | 2010 |
| Emotion recognition through EEG phase space dynamics and Dempster-Shafer theory MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Medical Hypotheses 127, 34-45, 2019 | 46 | 2019 |
| Classification of breast cancer lesions in ultrasound images by using attention layer and loss ensemble in deep convolutional neural networks EY Kalafi, A Jodeiri, SK Setarehdan, NW Lin, K Rahmat, NA Taib, ... Diagnostics 11 (10), 1859, 2021 | 45 | 2021 |
| Neural network based arrhythmia classification using heart rate variability signal B Mohammadzadeh-Asl, SK Setarehdan 2006 14th European Signal Processing Conference, 1-4, 2006 | 43 | 2006 |
Ali Motie NasrabadiProfessor of Biomedical engineering, Shahed UniversityVerified email at shahed.ac.ir
