Ahmad Shalbaf

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Topics

Top Venues

Biomed. Signal Process. Control.

Comput. Biol. Medicine

Int. J. Comput. Assist. Radiol. Surg.

Comput. Methods Programs Biomed.

Publications

Sara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru San Tan, U. Rajendra Acharya
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. IEEE Access 12 (2024)
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 (2024)
Mohammad Bdaqli, Afshin Shoeibi, Parisa Moridian, Delaram Sadeghi, Mozhde Firoozi Pouyani, Ahmad Shalbaf, Juan Manuel Górriz
Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI. IWINAC (2024)
Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). Comput. Methods Programs Biomed. 244 (2024)
Hamed Zamanian, Ahmad Shalbaf
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Sara Bagherzadeh, Ahmad Shalbaf, David López-García, Juan Manuel Górriz, U. Rajendra Acharya
Emotion recognition in EEG signals using deep learning methods: A review. Comput. Biol. Medicine 165 (2023)
Sima Ghafoori, Ahmad Shalbaf
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) (2022)
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 (2022)
Nasrin Amini, Ahmad Shalbaf
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) (2022)
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 (2022)
Parisa Gifani, Ahmad Shalbaf, Majid Vafaeezadeh
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) (2021)
Gelareh Valizadeh, Farshid Babapour Mofrad, Ahmad Shalbaf
Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening. Medical Biol. Eng. Comput. 59 (6) (2021)
Zahra Taghizadeh, Saeid Rashidi, Ahmad Shalbaf
Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals. Biomed. Signal Process. Control. 68 (2021)
Farzad Azarmi, Seyedeh Naghmeh Miri Ashtiani, Ahmad Shalbaf, Hamid Behnam, Mohammad Reza Daliri
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)
Ahmad Shalbaf, Mohsen Saffar, Jamie W. Sleigh, Reza Shalbaf
Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System. IEEE J. Biomed. Health Informatics 22 (3) (2018)
Zahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, Reza Shalbaf
Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction. J. Digit. Imaging 28 (1) (2015)
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) (2015)
Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard
Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration. J. Digit. Imaging 26 (5) (2013)
Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration. Int. J. Comput. Assist. Radiol. Surg. 7 (5) (2012)