Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration. - Ahmad Shalbaf; Hamid Behnam; Zahra Alizade-Sani; Maryam Shojaifard (Int. J. Comput. Assist. Radiol. Surg., 2012)

Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration. - Ahmad Shalbaf; Hamid Behnam; Zahra Alizade-Sani; Maryam Shojaifard (J. Digit. Imaging, 2013)

Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction. - Zahra Alizadeh Sani; Ahmad Shalbaf; Hamid Behnam; Reza Shalbaf (J. Digit. Imaging, 2015)

Letter to the Editor Regarding Paper "Automatic Computation of Left Ventricular Volume Changes over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction". - Ahmad Shalbaf; Hamid Behnam (J. Digit. Imaging, 2015)

Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System. - Ahmad Shalbaf; Mohsen Saffar; Jamie W. Sleigh; Reza Shalbaf (IEEE J. Biomed. Health Informatics, 2018)

Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI. - Farzad Azarmi; Seyedeh Naghmeh Miri Ashtiani; Ahmad Shalbaf; Hamid Behnam; Mohammad Reza Daliri (Comput. Biol. Medicine, 2019)

Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals. - Zahra Taghizadeh; Saeid Rashidi; Ahmad Shalbaf (Biomed. Signal Process. Control., 2021)

Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans. - Parisa Gifani; Ahmad Shalbaf; Majid Vafaeezadeh (Int. J. Comput. Assist. Radiol. Surg., 2021)

Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening. - Gelareh Valizadeh; Farshid Babapour Mofrad; Ahmad Shalbaf (Medical Biol. Eng. Comput., 2021)

Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals. - Sara Bagherzadeh; Keivan Maghooli; Ahmad Shalbaf; Arash Maghsoudi (Biomed. Signal Process. Control., 2022)

Predicting conversion from MCI to AD by integration of rs-fMRI and clinical information using 3D-convolutional neural network. - Sima Ghafoori; Ahmad Shalbaf (Int. J. Comput. Assist. Radiol. Surg., 2022)

Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal. - Sara Bagherzadeh; Mohsen Sadat Shahabi; Ahmad Shalbaf (Comput. Biol. Medicine, 2022)

Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images. - Nasrin Amini; Ahmad Shalbaf (Int. J. Imaging Syst. Technol., 2022)

Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder. - Mohsen Sadat Shahabi; Ahmad Shalbaf; Behrooz Nobakhsh; Reza Rostami; Reza Kazemi (Int. J. Neural Syst., 2023)

Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models. - Mohsen Sadat Shahabi; Behrooz Nobakhsh; Ahmad Shalbaf; Reza Rostami; Reza Kazemi (Biomed. Signal Process. Control., 2023)

Prediction of Treatment Outcome in Major Depressive Disorder Using Ensemble of Hybrid Transfer Learning and Long Short-Term Memory Based on EEG Signal. - Mohsen Sadat Shahabi; Ahmad Shalbaf (IEEE Trans. Cogn. Dev. Syst., 2023)

Emotion recognition in EEG signals using deep learning methods: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Sara Bagherzadeh; Ahmad Shalbaf; David López-García; Juan Manuel Górriz; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks. - Hamed Zamanian; Ahmad Shalbaf (Int. J. Imaging Syst. Technol., 2023)

Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI. - Mohammad Bdaqli; Afshin Shoeibi; Parisa Moridian; Delaram Sadeghi; Mozhde Firoozi Pouyani; Ahmad Shalbaf; Juan Manuel Górriz (IWINAC, 2024)

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. - Sara Bagherzadeh; Ahmad Shalbaf; Afshin Shoeibi; Mahboobeh Jafari; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2024)

Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review. - Fatemeh Rousta; Ali Esteki; Ahmad Shalbaf; Amir Sadeghi; Pardis Ketabi Moghadam; Ardalan Voshagh (Comput. Methods Programs Biomed., 2024)

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). - Hamed Zamanian; Ahmad Shalbaf; M. R. Zali; A. R. Khalaj; P. Dehghan; M. Tabesh; B. Hatami; Roohallah Alizadehsani; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

Application of Artificial Intelligence in Obsessive-Compulsive Disorder Detection and Response to Treatment: A Systematic Review. - Faezeh Ghasemi; Ahmad Shalbaf; Ali Esteki (IEEE Access, 2025)

Application of artificial intelligence in attention-deficit hyperactivity disorder deteaction and response to treatment: A systematic review. - Reza Hoseini; Ahmad Shalbaf; Afshin Shoeibi; Ram Bilas Pachori (Biomed. Signal Process. Control., 2025)