Publications
Publications
SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs.
Huyen Le, Khiet Dang, Tien Lai, Nhung Nguyen, Mai Tran, and Hieu Pham
The 10th International Conference in Vietnam on the Development of Biomedical Engineering (BME10) – Under submission
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization.
Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu Pham, Shrikanth Narayanan, and Michael Pazzani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2024
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network.
Hung Le and Hieu Pham
IEEE International Symposium on Biomedical Imaging (ISBI), May 27-30, 2024, Athens, Greece
MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea In Classification Problem.
Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, and Cuong D. Do
IEEE Journal of Biomedical and Health Informatics (2024)
Learning to automatically diagnose multiple diseases in pediatric chest radiographs using deep convolutional neural networks
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, and Ha Q. Nguyen
Proceedings of the IEEE/CVF International Conference on Computer Vision (2021)
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels.
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, and Ha Q. Nguyen
Neurocomputing 437 (2021): 186-194
Phase recognition in contrast‐enhanced CT scans based on deep learning and random sampling
Binh T Dao, Thang V Nguyen, Hieu H Pham, and Ha Q Nguyen
Medical Physics 49.7 (2022): 4518-4528
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
Thao Nguyen, Hieu H. Pham, Khiem H. Le, Anh-Tu Nguyen, Tien Thanh, and Cuong Do
PLOS ONE 17.11 (2022): e0277081
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
Thao Nguyen, Hieu H. Pham, Khiem H. Le, Anh-Tu Nguyen, Tien Thanh, and Cuong Do
PLOS ONE 17.11 (2022): e0277081.
LightX3ECG: A lightweight and explainable deep learning system for 3-lead electrocardiogram classification
Khiem H. Le, Hieu H. Pham, Thao BT. Nguyen, Tu A. Nguyen, Tien N. Thanh, and Cuong D. Do
Biomedical Signal Processing and Control 85 (2023): 104963.
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices Using Divide and Collaborative Training
Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, and Minh N. Do
IEEE Transactions on Network and Service Management (2024), vol. 21, no. 1, pp. 418-436. DOI: 10.1109/TNSM.2023.3314066.
High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion
Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, and Phi Le Nguyen
PLOS ONE 18.9 (2023): e0291865
Personalized privacy-preserving framework for cross-silo federated learning
Van-Tuan Tran, Huy-Hieu Pham, and Kok-Seng Wong
IEEE Transactions on Emerging Topics in Computing (2024). DOI:10.1109/TETC.2024.3356068