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Ahmad Shalbaf
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2020 – today
- 2024
- [j21]Sara Bagherzadeh
, Ahmad Shalbaf
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. IEEE Access 12: 50949-50965 (2024) - [j20]Hamed Zamanian
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. 244: 107932 (2024) - [j19]Fatemeh Rousta, Ali Esteki, Ahmad Shalbaf, Amir Sadeghi, Pardis Ketabi Moghadam, Ardalan Voshagh:
Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review. Comput. Methods Programs Biomed. 250: 108205 (2024) - [c1]Mohammad Bdaqli
Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI. IWINAC 2024: 128-138 - 2023
- [j18]Mohsen Sadat Shahabi, Behrooz Nobakhsh, Ahmad Shalbaf, Reza Rostami, Reza Kazemi:
Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models. Biomed. Signal Process. Control. 85: 104822 (2023) - [j17]Mahboobeh Jafari, Afshin Shoeibi
Emotion recognition in EEG signals using deep learning methods: A review. Comput. Biol. Medicine 165: 107450 (2023) - [j16]Mohsen Sadat Shahabi, Ahmad Shalbaf, Behrooz Nobakhsh, Reza Rostami, Reza Kazemi
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder. Int. J. Neural Syst. 33(2): 2350007:1-2350007:13 (2023) - [j15]Hamed Zamanian
Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks. Int. J. Imaging Syst. Technol. 33(6): 2178-2193 (2023) - [j14]Mohsen Sadat Shahabi, Ahmad Shalbaf
Prediction of Treatment Outcome in Major Depressive Disorder Using Ensemble of Hybrid Transfer Learning and Long Short-Term Memory Based on EEG Signal. IEEE Trans. Cogn. Dev. Syst. 15(3): 1279-1288 (2023) - 2022
- [j13]Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, Arash Maghsoudi:
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals. Biomed. Signal Process. Control. 75: 103544 (2022) - [j12]Sima Ghafoori
Predicting conversion from MCI to AD by integration of rs-fMRI and clinical information using 3D-convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 17(7): 1245-1255 (2022) - [j11]Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf:
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal. Comput. Biol. Medicine 146: 105570 (2022) - [j10]Nasrin Amini
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images. Int. J. Imaging Syst. Technol. 32(1): 102-110 (2022) - 2021
- [j9]Zahra Taghizadeh
Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals. Biomed. Signal Process. Control. 68: 102573 (2021) - [j8]Parisa Gifani
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans. Int. J. Comput. Assist. Radiol. Surg. 16(1): 115-123 (2021) - [j7]Gelareh Valizadeh, Farshid Babapour Mofrad
Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening. Medical Biol. Eng. Comput. 59(6): 1261-1283 (2021)
2010 – 2019
- 2019
- [j6]Farzad Azarmi
Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI. Comput. Biol. Medicine 115 (2019) - 2018
- [j5]Ahmad Shalbaf
Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System. IEEE J. Biomed. Health Informatics 22(3): 671-677 (2018) - 2015
- [j4]Zahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam
Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction. J. Digit. Imaging 28(1): 91-98 (2015) - [j3]Ahmad Shalbaf, Hamid Behnam
Letter to the Editor Regarding Paper "Automatic Computation of Left Ventricular Volume Changes over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction". J. Digit. Imaging 28(2): 130-131 (2015) - 2013
- [j2]Ahmad Shalbaf, Hamid Behnam
Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration. J. Digit. Imaging 26(5): 909-919 (2013) - 2012
- [j1]Ahmad Shalbaf, Hamid Behnam
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration. Int. J. Comput. Assist. Radiol. Surg. 7(5): 769-783 (2012)
Coauthor Index
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