An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing. - Md. Rabiul Ali Sarker; Md Hassanuzzaman; Purnendu Biswas; Saikot Hossain Dadon; Tasmina Imam; Tanzilur Rahman (Sensors, 2021)

A Deep Learning Model for Recognizing Pediatric Congenital Heart Diseases Using Phonocardiogram Signals. - Md Hassanuzzaman; Nurul Akhtar Hasan; Mohammad Abdullah-Al-Mamun; Khawza I. Ahmed; Ahsan H. Khandoker; Raqibul Mostafa (CinC, 2023)

Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks. - Md Hassanuzzaman; Nurul Akhtar Hasan; Mohammad Abdullah-Al-Mamun; Mohanad Alkhodari; Khawza I. Ahmed; Ahsan H. Khandoker; Raqibul Mostafa (EMBC, 2023)

Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network. - Md Hassanuzzaman; Nurul Akhtar Hasan; Mohammad Abdullah-Al-Mamun; Khawza I. Ahmed; Ahsan H. Khandoker; Raqibul Mostafa (CoRR, 2024)

Skin Cancer Machine Learning Model Tone Bias. - James Pope; Md Hassanuzzaman; Mingmar Sherpa; Omar Emara; Ayush Joshi; Nirmala Adhikari (CoRR, 2024)

Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network. - Md Hassanuzzaman; Samit Kumar Ghosh; Mohammad Nurul Akhtar Hasan; Mohammad Abdullah-Al-Mamun; Khawza I. Ahmed; Raqibul Mostafa; Ahsan H. Khandoker (IEEE Access, 2025)

Congenital Heart Disease Classification Using Phonocardiograms: A Scalable Screening Tool for Diverse Environments. - Abdul Jabbar; Ethan Grooby; Jack Crozier; Alexander Gallon; Vivian Pham; Khawza I. Ahmad; Md Hassanuzzaman; Raqibul Mostafa; Ahsan H. Khandoker; Faezeh Marzbanrad (CoRR, 2025)