Hieu H. Pham

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Convolutional Neural Networks

Chest Radiographs

Medical Image Analysis

Top Venues

Biomed. Signal Process. Control.

Publications

Tue Minh Cao, Nhat Hong Tran, Hieu H. Pham, Hung Thanh Nguyen, Le P. Nguyen
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification. CoRR (2024)
Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa Doan, Kok-Seng Wong
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. CoRR (2023)
Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices. SSP (2023)
Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, Cuong D. Do
MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification. CoRR (2023)
Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham
Enhancing Few-Shot Image Classification With Cosine Transformer. IEEE Access 11 (2023)
Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach. CoRR (2023)
Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. IEEE Access 11 (2023)
Quoc Hung T. Le, Hieu H. Pham
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network. CoRR (2023)
Hoang C. Nguyen, Chi Phan, Hieu H. Pham
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection. CoRR (2023)
Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong Do
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification. Biomed. Signal Process. Control. 85 (2023)
Tue M. Cao, Nhat H. Tran, Phi Le Nguyen, Hieu H. Pham
Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata. CoRR (2023)
Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation. CoRR (2023)
Sam B. Tran, Huyen T. X. Nguyen, Chi Phan, Ha Q. Nguyen, Hieu H. Pham
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms. SSP (2023)
Hieu H. Pham, Khiem H. Le, Tuan V. Tran, Ha Q. Nguyen
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation. CoRR (2023)
Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification. CoRR (2022)
Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. IEEE Access 10 (2022)
Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. CoRR (2022)
Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham, Minh N. Do
Enhancing Few-shot Image Classification with Cosine Transformer. CoRR (2022)
Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. CoRR (2022)
Thao T. B. Nguyen, Tam M. Vo, Thang V. Nguyen, Hieu H. Pham, Ha Q. Nguyen
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese. CoRR (2022)
Binh T. Dao, Thang V. Nguyen, Hieu H. Pham, Ha Q. Nguyen
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling. CoRR (2022)
Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Video-based Human Action Recognition using Deep Learning: A Review. CoRR (2022)
Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, Ha Q. Nguyen
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms. EMBC (2022)
Sam B. Tran, Huyen T. X. Nguyen, Hieu H. Pham, Ha Q. Nguyen
Transparency strategy-based data augmentation for BI-RADS classification of mammograms. CoRR (2022)
Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. CoRR (2022)
Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh-Hung Nguyen, Minh Do
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification. CoRR (2022)
Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Cuong D. Do
Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration. CoRR (2022)
Thao Nguyen, Hieu H. Pham, Huy-Khiem Le, Anh-Tu Nguyen, Ngoc Tien Thanh, Cuong Do
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks. CoRR (2022)
Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh-Hung Nguyen, Minh Do
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification. ACCV (2) (2022)
Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. CoRR (2022)
Dat T. Ngo, Hieu H. Pham, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices. CoRR (2022)
Ngoc H. Nguyen, Hieu H. Pham, Thanh T. Tran, Tuan N. M. Nguyen, Ha Q. Nguyen
VinDr-PCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children. CoRR (2022)
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. ICCVW (2021)
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels. Neurocomputing 437 (2021)
Hieu H. Pham, Dung V. Do, Ha Q. Nguyen
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans. CoRR (2021)
Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. CoRR (2021)
Hoang C. Nguyen, Tung T. Le, Hieu H. Pham, Ha Q. Nguyen
VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays. CoRR (2021)
Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, Ha Q. Nguyen
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms. CoRR (2021)
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs. MICCAI (5) (2021)
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs. CoRR (2021)
Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels. CoRR (2020)
Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels. CoRR (2019)