Explainable Prediction of Acute Myocardial Infarction Using Machine Learning and Shapley Values. - Lujain Ibrahim; Munib Mesinovic; Kai-Wen K. Yang; Mohamad A. Eid (IEEE Access, 2020)

Beta-VAE Reproducibility: Challenges and Extensions. - Miroslav Fil; Munib Mesinovic; Matthew Morris; Jonas Wildberger (CoRR, 2021)

Multi-label Neural Model for Prediction of Myocardial Infarction Complications with Resampling and Explainability. - Munib Mesinovic; Kai-Wen K. Yang (BHI, 2022)

XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study. - Munib Mesinovic; Xin Ci Wong; Giri Shan Rajahram; Barbara Wanjiru Citarella; Kalaiarasu M. Peariasamy; Frank van Someren Greve; Piero Olliaro; Laura Merson; Lei A. Clifton; Christiana Kartsonaki (CoRR, 2023)

Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation. - Munib Mesinovic; Soheila Molaei; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2025)