24 citations · 30 across the 10 of their papers we have counts for
10 papers
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen, Hoang Nguyen, Melinda Chang +3
Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudi…
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection
Hoang C. Nguyen, Chi Phan, Hieu H. Pham
Screening mammography is the most widely used method for early breast cancer detection, significantly reducing mortality rates. The integration of information from multi-view mammo…
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation
Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen +2
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation. The AI syst…
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation
Hieu H. Pham, Khiem H. Le, Tuan V. Tran +1
The work discusses the use of machine learning algorithms for anomaly detection in medical image analysis and how the performance of these algorithms depends on the number of annot…
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
Nguyen Tuan, Phi Nguyen, Dai Tran +10
Early detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions. In recent years, deep learning tech…
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen +3
Federated learning (FL) is a machine learning (ML) approach that allows the use of distributed data without compromising personal privacy. However, the heterogeneous distribution o…