29 citations · 122 across the 33 of their papers we have counts for
9 papers · 1 filter
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network
Quoc Hung T. Le, Hieu H. Pham
Musculoskeletal diseases and cognitive impairments in patients lead to difficulties in movement as well as negative effects on their psychological health. Clinical gait analysis, a…
MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification
Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham +1
Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge. Previous studies have investigated several machine and deep learning models for…
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…
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field
Phi Nguyen Van, Hieu Pham Huy, Long Tran Quoc
Convolutional neural networks (CNNs) have recently proven their excellent ability to segment 2D cardiac ultrasound images. However, the majority of attempts to perform full-sequenc…
Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata
Tue M. Cao, Nhat H. Tran, Phi Le Nguyen +1
This work discusses the use of contrastive learning and deep learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals. While the ECG signals usually c…
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…