| Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans P Gifani, A Shalbaf, M Vafaeezadeh International journal of computer assisted radiology and surgery 16, 115-123, 2021 | 155 | 2021 |
| Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals A Shalbaf, S Bagherzadeh, A Maghsoudi Physical and Engineering Sciences in Medicine 43, 1229-1239, 2020 | 112 | 2020 |
| Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach A Saeedi, M Saeedi, A Maghsoudi, A Shalbaf Cognitive Neurodynamics 15 (2), 239-252, 2021 | 111 | 2021 |
| Monitoring the depth of anesthesia using a new adaptive neurofuzzy system A Shalbaf, M Saffar, JW Sleigh, R Shalbaf IEEE journal of biomedical and health informatics 22 (3), 671-677, 2017 | 82 | 2017 |
| Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning P Gifani, H Behnam, A Shalbaf, ZA Sani Physiological measurement 31 (9), 1091, 2010 | 52 | 2010 |
| Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG MS Shahabi, A Shalbaf, A Maghsoudi Biocybernetics and Biomedical Engineering 41 (3), 946-959, 2021 | 42 | 2021 |
| Finger movements classification based on fractional fourier transform coefficients extracted from surface emg signals Z Taghizadeh, S Rashidi, A Shalbaf Biomedical Signal Processing and Control 68, 102573, 2021 | 38 | 2021 |
| Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia F Afshani, A Shalbaf, R Shalbaf, J Sleigh Cognitive neurodynamics 13, 531-540, 2019 | 38 | 2019 |
| Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI F Azarmi, SNM Ashtiani, A Shalbaf, H Behnam, MR Daliri Computers in biology and medicine 115, 103495, 2019 | 37 | 2019 |
| Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals S Bagherzadeh, K Maghooli, A Shalbaf, A Maghsoudi Cognitive Neurodynamics 16 (5), 1087-1106, 2022 | 34 | 2022 |
| Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal S Bagherzadeh, MS Shahabi, A Shalbaf Computers in Biology and Medicine 146, 105570, 2022 | 33 | 2022 |
| Monitoring the level of hypnosis using a hierarchical SVM system A Shalbaf, R Shalbaf, M Saffar, J Sleigh Journal of Clinical Monitoring and Computing 34, 331-338, 2020 | 31 | 2020 |
| Automatic classification of left ventricular regional wall motion abnormalities in echocardiography images using nonrigid image registration A Shalbaf, H Behnam, Z Alizade-Sani, M Shojaifard Journal of digital imaging 26, 909-919, 2013 | 30 | 2013 |
| Recognition of acute lymphoblastic leukemia and lymphocytes cell subtypes in microscopic images using random forest classifier P Mirmohammadi, M Ameri, A Shalbaf Physical and Engineering Sciences in Medicine 44, 433-441, 2021 | 28 | 2021 |
| Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals S Bagherzadeh, K Maghooli, A Shalbaf, A Maghsoudi Biomedical Signal Processing and Control 75, 103544, 2022 | 25 | 2022 |
| Automatic computation of left ventricular volume changes over a cardiac cycle from echocardiography images by nonlinear dimensionality reduction ZA Sani, A Shalbaf, H Behnam, R Shalbaf Journal of digital imaging 28 (1), 91, 2015 | 24 | 2015 |
| Emotion recognition in EEG signals using deep learning methods: A review M Jafari, A Shoeibi, M Khodatars, S Bagherzadeh, A Shalbaf, DL García, ... Computers in Biology and Medicine, 107450, 2023 | 21 | 2023 |
| Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration A Shalbaf, H Behnam, Z Alizade-Sani, M Shojaifard International journal of computer assisted radiology and surgery 7, 769-783, 2012 | 21 | 2012 |
| Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images N Amini, A Shalbaf International Journal of Imaging Systems and Technology 32 (1), 102-110, 2022 | 19 | 2022 |
| Echocardiography without electrocardiogram using nonlinear dimensionality reduction methods A Shalbaf, Z AlizadehSani, H Behnam Journal of Medical Ultrasonics 42, 137-149, 2015 | 17 | 2015 |
Arash MaghsoudiBaylor college of medicineDirección de correo verificada de bcm.edu
