Comprehensive Performance Assessment of Deep Learning Models in Early Prediction and Risk Identification of Chronic Kidney Disease. - Shamima Akter; Ahsan Habib 005; Md. Ashiqul Islam; Md. Sagar Hossen; Wasik Ahmmed Fahim; Puza Rani Sarkar; Manik Ahmed (IEEE Access, 2021)

AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19. - Shamima Akter; Depro Das; Rakib Ul Haque; Mahafujul Islam Quadery Tonmoy; Md. Rakibul Hasan; Samira Mahjabeen; Manik Ahmed (Comput. Biol. Medicine, 2022)

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images. - F. M. Javed Mehedi Shamrat; Shamima Akter; Sami Azam; Asif Karim; Pronab Ghosh; Zarrin Tasnim; Khan Md. Hasib; Friso De Boer; Kawsar Ahmed (IEEE Access, 2023)

Risk Factor Prediction of Chronic Kidney Disease. - Md. Ashiqul Islam; Shamima Akter (UCI Machine Learning Repository, 2023)

CKD.Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine. - Shamima Akter; Manik Ahmed; Abdullah Al Imran; Ahsan Habib 005; Rakib Ul Haque; Md. Sohanur Rahman; Md. Rakibul Hasan; Samira Mahjabeen (Expert Syst. Appl., 2023)