| ECG segmentation and fiducial point extraction using multi hidden Markov model M Akhbari, MB Shamsollahi, O Sayadi, AA Armoundas, C Jutten Computers in biology and medicine 79, 21-29, 2016 | 61 | 2016 |
| ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations M Akhbari, MB Shamsollahi, C Jutten, AA Armoundas, O Sayadi Physiological measurement 37 (2), 203, 2016 | 50 | 2016 |
| Delve into Multiple Sclerosis (MS) lesion exploration: A modified attention U-Net for MS lesion segmentation in Brain MRI M Hashemi, M Akhbari, C Jutten Computers in Biology and Medicine 145, 105402, 2022 | 34 | 2022 |
| Fetal electrocardiogram R-peak detection using robust tensor decomposition and extended Kalman filtering M Akhbari, M Niknazar, C Jutten, MB Shamsollahi, B Rivet Computing in Cardiology 2013, 189-192, 2013 | 31 | 2013 |
| ECG denoising using angular velocity as a state and an observation in an extended kalman filter framework M Akhbari, MB Shamsollahi, C Jutten, B Coppa 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 28 | 2012 |
| ECG fiducial points extraction by extended kalman filtering M Akhbari, MB Shamsollahi, C Jutten 2013 36th International Conference on Telecommunications and Signal …, 2013 | 26 | 2013 |
| ECG fiducial point extraction using switching Kalman filter M Akhbari, NM Ghahjaverestan, MB Shamsollahi, C Jutten Computer methods and programs in biomedicine 157, 129-136, 2018 | 23 | 2018 |
| Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework M Akhbari, MB Shamsollahi, C Jutten 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 20 | 2013 |
| Twave alternans detection in ecg using Extended Kalman Filter and dualrate EKF M Akhbari, MB Shamsollahi, C Jutten 2014 22nd European Signal Processing Conference (EUSIPCO), 2500-2504, 2014 | 11 | 2014 |
| Efficient Solvent-Free Oxidation of Phenols to p-Quinones with Iodic Acid on the Surface of K10 Montmorillonite. M Hashemi, M Akhbari Russian journal of organic chemistry 41 (6), 2005 | 8 | 2005 |
| Application of independent component analysis for activation detection in functional magnetic resonance imaging (FMRI) data M Akhbari, E Fatemizadeh 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 129-132, 2009 | 5 | 2009 |
| Comparison of ECG fiducial point extraction methods based on dynamic Bayesian network M Akhbari, MB Shamsollahi, C Jutten 2017 Iranian Conference on Electrical Engineering (ICEE), 95-100, 2017 | 3 | 2017 |
| An entropy based method for activation detection of functional MRI data using Independent Component Analysis M Akhbari, M Babaie-Zadeh, E Fatemizadeh, C Jutten 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 3 | 2010 |
| Analyse des intervalles ECG inter-et intra-battement sur des modèles d'espace d'état et de Markov cachés M Akhbari Université Grenoble Alpes (ComUE), 2016 | 1 | 2016 |
| Эффективный метод окисления фенолов до n-хинонов йодноватой кислотой на поверхности монтмориллонита К10 в отсутствие растворителя. MM Hashemi, M Akhbari Журнал органической химии 41 (6), 952-953, 2005 | | 2005 |
| ESTIMATING COMPONENTS OF FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI) DATA IN A TIME-DEPENDENT ORDER BY MODIFYING ICA ALGORITHMS M Akhbari, E Fatemizadeh | | |
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deVerified email at gipsa-lab.fr
