Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction. - Simon Bin Akter; Sumya Akter; Moon Das Tuli; David Eisenberg 002; Aaron Lotvola; Humayera Islam; Jorge Eduardo Fresneda Fernandez; Maik Hüttemann; Tanmoy Sarkar Pias (Comput. Biol. Medicine, 2025)

Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network. - Simon Bin Akter; Sumya Akter; Rakibul Hasan; Md. Mahadi Hasan; David Eisenberg 002; Riasat Azim; Jorge Eduardo Fresneda Fernandez; Tanmoy Sarkar Pias (Comput. Methods Programs Biomed., 2025)

Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach. - Simon Bin Akter; Sumya Akter; Rakibul Hasan; Md. Mahadi Hasan; A. M. Tayeful Islam; Tanmoy Sarkar Pias; Jorge Eduardo Fresneda Fernandez; Md. Golam Rabiul Alam; David Eisenberg 002 (J. Biomed. Informatics, 2025)