Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. - Moloud Abdar; Elham Nasarian; Xujuan Zhou; Ghazal Bargshady; Vivi Nur Wijayaningrum; Sadiq Hussain (ICCCS, 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)

AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. - Elham Nasarian; Danial Sharifrazi; Saman Mohsenirad; Kwok Tsui; Roohallah Alizadehsani (CoRR, 2023)

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (CoRR, 2023)

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (Inf. Fusion, 2024)