Validation of the Revised Stressful Life Event Questionnaire Using a Hybrid Model of Genetic Algorithm and Artificial Neural Networks. - Rasoul Sali; Hamidreza Roohafza; Masoumeh Sadeghi; Elham Andalib; Hassan Shavandi; Nizal Sarrafzadegan (Comput. Math. Methods Medicine, 2013)

Coronary artery disease detection using computational intelligence methods. - Roohallah Alizadehsani; Mohammad Hossein Zangooei; Mohammad Javad Hosseini; Jafar Habibi; Abbas Khosravi; Mohamad Roshanzamir; Fahime Khozeimeh; Nizal Sarrafzadegan; Saeid Nahavandi (Knowl. Based Syst., 2016)

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Abbas Khosravi; Fahime Khozeimeh; Mohamad Roshanzamir; Nizal Sarrafzadegan; Saeid Nahavandi (Comput. Methods Programs Biomed., 2018)

NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. - Moloud Abdar; U. Rajendra Acharya; Nizal Sarrafzadegan; Vladimir Makarenkov (IEEE Access, 2019)

Machine learning-based coronary artery disease diagnosis: A comprehensive review. - Roohallah Alizadehsani; Moloud Abdar; Mohamad Roshanzamir; Abbas Khosravi; Parham M. Kebria; Fahime Khozeimeh; Saeid Nahavandi; Nizal Sarrafzadegan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. - Elham Nasarian; Moloud Abdar; Mohammad Amin Fahami; Roohallah Alizadehsani; Sadiq Hussain; Mohammad Ehsan Basiri; Mariam Zomorodi Moghadam; Xujuan Zhou; Pawel Plawiak; U. Rajendra Acharya; Ru-San Tan; Nizal Sarrafzadegan (Pattern Recognit. Lett., 2020)

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. - Roohallah Alizadehsani; Abbas Khosravi; Mohamad Roshanzamir; Moloud Abdar; Nizal Sarrafzadegan; Davood Shafie; Fahime Khozeimeh; Afshin Shoeibi; Saeid Nahavandi; Maryam Panahiazar; Andrew Bishara; Ramin E. Beygui; et al. (Comput. Biol. Medicine, 2021)

Automated detection of shockable ECG signals: A review. - Mohamed Hammad; Kandala N. V. P. S. Rajesh; Amira Abdelatey; Moloud Abdar; Mariam Zomorodi Moghadam; Ru-San Tan; U. Rajendra Acharya; Joanna Plawiak; Ryszard Tadeusiewicz; Vladimir Makarenkov; Nizal Sarrafzadegan; Abbas Khosravi; et al. (Inf. Sci., 2021)

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. - Moloud Abdar; Arash Mehrzadi; Milad Goudarzi; Farzad Masoudkabir; Leonardo Rundo; Mohammad Mamouei; Evis Sala; Abbas Khosravi; Vladimir Makarenkov; U. Rajendra Acharya; Seyedmohammad Saadatagah; Mohammadreza Naderian; et al. (Inf. Fusion, 2023)

Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region. - Kamran Mehrabani-Zeinabad; Awat Feizi; Masoumeh Sadeghi; Hamidreza Roohafza; Mohammad Talaei; Nizal Sarrafzadegan (BMC Medical Informatics Decis. Mak., 2023)

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning Network. - Sadaf Khademi; Zohreh Hajiakhondi-Meybodi; Golnaz Vaseghi; Nizal Sarrafzadegan; Arash Mohammadi 001 (EUSIPCO, 2024)

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning. - Sadaf Khademi; Zohreh Hajiakhondi-Meybodi; Golnaz Vaseghi; Nizal Sarrafzadegan; Arash Mohammadi 001 (CoRR, 2024)

Which risk factor best predicts coronary artery disease using artificial neural network method? - Nahid Azdaki; Fatemeh Salmani; Toba Kazemi; Neda Partovi; Saeede Khosravi Bizhaem; Masomeh Noori Moghadam; Yoones Moniri; Ehsan Zarepur; Noushin Mohammadifard; Hassan Alikhasi; Fatemeh Nouri; Nizal Sarrafzadegan; et al. (BMC Medical Informatics Decis. Mak., 2024)

A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran. - Mohamad Roshanzamir; Roohallah Alizadehsani; Ehsan Zarepur; Noushin Mohammadifard; Fatemeh Nouri; Mahdi Roshanzamir; Alireza Khosravi; Fereidoon Nouhi; Nizal Sarrafzadegan (CoRR, 2025)