Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. - Shahadat Uddin; Md Ekramul Hossain; Arif Khan 001 (IEEE Access, 2018)

Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. - Md Ekramul Hossain; Arif Khan 001; Shahadat Uddin (ACSW, 2019)

Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. - Md Ekramul Hossain; Arif Khan 001; Shahadat Uddin (COMPLEX NETWORKS (2), 2019)

On the feasibility of using a bispectral measure as a nonintrusive predictor of speech intelligibility. - Md Ekramul Hossain; Muhammad S. A. Zilany; Evelyn E. Davies-Venn (Comput. Speech Lang., 2019)

Comparing different supervised machine learning algorithms for disease prediction. - Shahadat Uddin; Arif Khan 001; Md Ekramul Hossain; Mohammad Ali Moni (BMC Medical Informatics Decis. Mak., 2019)

A research framework to explore knowledge evolution and scholarly quantification of collaborative research. - Shahadat Uddin; Nazim Choudhury; Md Ekramul Hossain (Scientometrics, 2019)

Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. - Md Ekramul Hossain; Shahadat Uddin; Arif Khan 001 (Expert Syst. Appl., 2021)

Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. - Md Ekramul Hossain; Arif Khan 001; Mohammad Ali Moni; Shahadat Uddin (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions. - Md Ekramul Hossain; Muhammad Ashad Kabir; Lihong Zheng; Dave L. Swain; Shawn McGrath; Jonathan Medway (CoRR, 2022)

Handwritten Bangla character recognition using convolutional neural networks: a comparative study and new lightweight model. - Md. Nahidul Islam Opu; Md Ekramul Hossain; Muhammad Ashad Kabir (Neural Comput. Appl., 2024)

Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset. - Muhammad Ashad Kabir; Nidita Roy; Md Ekramul Hossain; Jill Featherston; Sayed Ahmed (CoRR, 2025)