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IEEE Journal of Biomedical and Health Informatics|August 4, 2026
MMMuLNet: Multimodal Mutual Deep learning Framework for the Pediatric Congenital Heart Disease DetectionAbdul Jabbar, Md Hassanuzzaman, Khawza I Ahmad, et al.
Sensors (Basel, Switzerland)|November 13, 2021
An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and CrowdsourcingMd Rabiul Ali Sarker, Md Hassanuzzaman, Purnendu Biswas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural NetworksMd Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah Al Mamun, et al.
Computers in Biology and Medicine|September 10, 2025
Automated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusionAbdul Jabbar, Ethan Grooby, Yang Yi Poh, et al.
Research Square|May 25, 2026
CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation LearningMd Hassanuzzaman, Tilendra Choudhary, Alasdair Gent, et al.
Arxiv|May 25, 2026
Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient TrajectoriesYixuan Yang, Mehak Arora, Ryan Zhang, et al.
Neurotrauma Reports|September 21, 2023
Demographic and Clinical Characteristics of Persons With Spinal Cord Injury in Bangladesh: Database for the International Spinal Cord Injury Community Survey 2023Taslim Uddin, Mohammad Tariqul Islam, Mohammad Hossain, et al.
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