Hieu H. Pham - RankMe

64 papers A* 1B 1Journal 53Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predictive Spectral Calibration for Source-Free Test-Time Regression. CoRR Nguyen Viet Tuan Kiet, Huynh Thanh Trung, Hieu H. Pham
2025	J	`jnl`	ConstStyle: Robust Domain Generalization with Unified Style Transformation. CoRR Nam Duong Tran, Nam Nguyen Phuong, Hieu H. Pham, Phi Le Nguyen, My T. Thai
2025	A*	`conf`	NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions. ICLR Tue Minh Cao, Nhat Hoang-Xuan, Hieu H. Pham, Phi Le Nguyen, My T. Thai
2025	J	`jnl`	NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions. CoRR Tue Minh Cao, Nhat X. Hoang, Hieu H. Pham, Phi Le Nguyen, My T. Thai
2025	J	`jnl`	Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures. Future Gener. Comput. Syst. Manh Cuong Dao, Phi Le Nguyen, Hieu H. Pham, Thanh Hung Nguyen, Peng Chen, Mohamed Wahib, Truong Thao Nguyen
2025	J	`jnl`	SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning. IEEE Trans. Computers Nang Hung Nguyen, Truong Thao Nguyen, Trong Nghia Hoang, Hieu H. Pham, Thanh Hung Nguyen, Phi Le Nguyen
2025	J	`jnl`	Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data. CoRR Vu Hoang Dieu, Duc-Nghia Tran, Quang-Tu Pham, Hieu H. Pham, Nicolas Vuillerme, Duc-Tan Tran
2025	J	`jnl`	VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning. CoRR Dang H. Nguyen, Hieu H. Pham, Hao T. Nguyen
2024	J	`jnl`	Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Eng. Appl. Artif. Intell. Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong
2024	J	`jnl`	ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. CoRR Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu H. Pham, Shrikanth Narayanan, Michael Pazzani
2024	—	`conf`	D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs. BIBM Huyen Le, Khiet Dang, Nhung Nguyen, Mai Tran, Hieu H. Pham
2024	J	`jnl`	D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs. CoRR Huyen Le, Khiet Dang, Nhung Nguyen, Mai Tran, Hieu H. Pham
2024	B	`conf`	FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks. IEEE Big Data Duong H. Nguyen, Phi L. Nguyen, Truong T. Nguyen, Hieu H. Pham, Duc A. Tran
2024	J	`jnl`	FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks. CoRR Duong H. Nguyen, Phi L. Nguyen, Truong T. Nguyen, Hieu H. Pham, Duc A. Tran
2024	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Trans. Netw. Serv. Manag. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2024	J	`jnl`	MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem. IEEE J. Biomed. Health Informatics Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, Cuong D. Do
2024	J	`jnl`	MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification. CoRR Tue Minh Cao, Nhat Hong Tran, Hieu H. Pham, Hung Thanh Nguyen, Le P. Nguyen
2024	J	`jnl`	SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs. CoRR Huyen Le, Khiet Dang, Tien Lai, Nhung Nguyen, Mai Tran, Hieu H. Pham
2024	—	`conf`	Training-Free Condition Video Diffusion Models for Single Frame Spatial-Semantic Echocardiogram Synthesis. MICCAI (6) Nguyen Van Phi, Tri Nhan Luong Ha, Hieu H. Pham, Quoc Long Tran
2023	—	`conf`	A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms. SSP Sam B. Tran, Huyen T. X. Nguyen, Chi Phan, Ha Q. Nguyen, Hieu H. Pham
2023	J	`jnl`	Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. CoRR Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong
2023	J	`jnl`	Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field. CoRR Phi V. Nguyen, Hieu H. Pham, Long Tran Quoc
2023	J	`jnl`	Echocardiography video synthesis from end diastolic semantic map via diffusion model. CoRR Nguyen Van Phi, Tran Minh Duc, Hieu H. Pham, Tran Quoc Long
2023	J	`jnl`	Enhancing Few-Shot Image Classification With Cosine Transformer. IEEE Access Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham
2023	J	`jnl`	Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography. CoRR Nguyen Tuan, Phi Nguyen, Dai Tran, Hung Pham, Quang Nguyen, Thanh Le, Hanh Van, Bach Do, Phuong Tran, Vinh Le, Thuy Nguyen, Long Tran, Hieu H. Pham
2023	J	`jnl`	Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation. CoRR Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
2023	J	`jnl`	Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation. CoRR Hieu H. Pham, Khiem H. Le, Tuan V. Tran, Ha Q. Nguyen
2023	—	`conf`	IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitaion mechanism in ECG analysis. SoICT Tue Cao, Nhat Tran, Phi Le Nguyen, Hung Nguyen, Hieu H. Pham
2023	J	`jnl`	Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. IEEE Access Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
2023	J	`jnl`	Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach. CoRR Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen
2023	J	`jnl`	Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network. CoRR Quoc Hung T. Le, Hieu H. Pham
2023	J	`jnl`	LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification. Biomed. Signal Process. Control. Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong Do
2023	J	`jnl`	MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification. CoRR Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, Cuong D. Do
2023	J	`jnl`	Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata. CoRR Tue Minh Cao, Nhat Hong Tran, Phi Le Nguyen, Hieu H. Pham
2023	—	`conf`	Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices. SSP Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham
2023	J	`jnl`	TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection. CoRR Hoang C. Nguyen, Chi Phan, Hieu H. Pham
2022	—	`conf`	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms. EMBC Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, Ha Q. Nguyen
2022	J	`jnl`	An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. IEEE Access Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
2022	J	`jnl`	An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. CoRR Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
2022	J	`jnl`	Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks. CoRR Thao Nguyen, Hieu H. Pham, Huy-Khiem Le, Anh-Tu Nguyen, Ngoc Tien Thanh, Cuong Do
2022	J	`jnl`	Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration. CoRR Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Cuong D. Do
2022	J	`jnl`	Enhancing Few-shot Image Classification with Cosine Transformer. CoRR Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham, Minh N. Do
2022	J	`jnl`	FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. CoRR Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
2022	J	`jnl`	Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. CoRR Khiem H. Le, Tuan V. Tran, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
2022	J	`jnl`	Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese. CoRR Thao T. B. Nguyen, Tam M. Vo, Thang V. Nguyen, Hieu H. Pham, Ha Q. Nguyen
2022	J	`jnl`	LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification. CoRR Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
2022	—	`conf`	Multi-stream Fusion for Class Incremental Learning in Pill Image Classification. ACCV (2) Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh-Hung Nguyen, Minh Do
2022	J	`jnl`	Multi-stream Fusion for Class Incremental Learning in Pill Image Classification. CoRR Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh-Hung Nguyen, Minh Do
2022	J	`jnl`	Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling. CoRR Binh T. Dao, Thang V. Nguyen, Hieu H. Pham, Ha Q. Nguyen
2022	J	`jnl`	Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices. CoRR Dat T. Ngo, Hieu H. Pham, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen
2022	J	`jnl`	Transparency strategy-based data augmentation for BI-RADS classification of mammograms. CoRR Sam B. Tran, Huyen T. X. Nguyen, Hieu H. Pham, Ha Q. Nguyen
2022	J	`jnl`	Video-based Human Action Recognition using Deep Learning: A Review. CoRR Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
2022	J	`jnl`	VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. CoRR Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu
2022	J	`jnl`	VinDr-PCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children. CoRR Ngoc Huy Nguyen, Hieu H. Pham, Thanh T. Tran, Tuan N. M. Nguyen, Ha Q. Nguyen
2021	J	`jnl`	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms. CoRR Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, Ha Q. Nguyen
2021	J	`jnl`	DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans. CoRR Hieu H. Pham, Dung V. Do, Ha Q. Nguyen
2021	J	`jnl`	Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels. Neurocomputing Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
2021	—	`conf`	Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. ICCVW Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
2021	J	`jnl`	Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. CoRR Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
2021	J	`jnl`	VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays. CoRR Hoang C. Nguyen, Tung T. Le, Hieu H. Pham, Ha Q. Nguyen
2021	—	`conf`	VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs. MICCAI (5) Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
2021	J	`jnl`	VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs. CoRR Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
2020	J	`jnl`	Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels. CoRR Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen
2019	J	`jnl`	Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels. CoRR Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen