H. Nguyen

发表

Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings

Hieu Pham, N. H. Nguyen, H. Nguyen, 2022, Frontiers in Digital Health.

Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese

Thao Nguyen, Hieu Pham, H. Nguyen, 2022, PloS one.

Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices

Thao Nguyen, Hieu Pham, D. Ngo, 2022, 2023 IEEE Statistical Signal Processing Workshop (SSP).

Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks pdf

T. T. Tran, H. H. Pham, T. V. Nguyen, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs pdf

Minh Dao, Hieu T. Nguyen, Nghia T. Nguyen, 2021, MICCAI.

Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

Khiem H. Le, Hieu Pham, T. Tran, 2022, IEEE Access.

VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

Binh T. Nguyen, Dung D. Le, Luu T. Doan, 2020, Scientific Data.

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels pdf

Hieu H. Pham, Tung T. Le, Dat T. Ngo, 2020, Neurocomputing.

A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms

Huyen T. X. Nguyen, Sam B. Tran, Hieu Pham, 2021, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs pdf

Thang Viet Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, 2021, ArXiv.

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT Scans pdf

Dat Q. Tran, Nhan T. Nguyen, Nghia T. Nguyen, 2020, medRxiv.

PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children

Hieu Pham, N. H. Nguyen, Thanh-Truong Tran, 2022, Scientific data.

Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks

Fabio Ramos, Harrison Nguyen, Richard W. Morris, 2018, 1803.09375.

Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation

Khiem H. Le, Hieu Pham, H. Nguyen, 2023, ArXiv.

VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

M. Dao, L. Le, H. Nguyen, 2022, medRxiv.

DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans pdf

Ha Q. Nguyen, Hieu H. Pham, Dung V. Do, 2021, medRxiv.

Deep Learning for Pulse Repetition Interval Classification

Ha P. K. Nguyen, Ha Q. Nguyen, Dat T. Ngo, 2019, ICPRAM.

Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels

Dat Q. Tran, Hieu Pham, D. Ngo, 2019, ArXiv.

A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms

Huyen T. X. Nguyen, Sam B. Tran, Hieu Pham, 2022, Symposium on Software Performance.

Removing scanner biases using Generative Adversarial Networks pdf

Fabio Tozeto Ramos, Harrison Nguyen, Richard W. Morris, 2018, ArXiv.

Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling

B. Dao, Hieu Pham, H. Nguyen, 2022, medRxiv.

Variational Spectral Graph Convolutional Networks

Louis C. Tiao, Edwin V. Bonilla, Pantelis Elinas, 2019, ArXiv.

VinDr-PCXR: An open, large-scale chest radiograph dataset for interpretation of thoracic diseases in children

Hieu Pham, H. Nguyen, Q. H. Nguyen, 2022, medRxiv.

Top-Frequency Parallel Coordinates Plots pdf

Norman Matloff, Harrison Nguyen, Vincent Yang, 2017, ArXiv.