Ha Q. Nguyen

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 35

Top Topics

Automatic Segmentation

Chest Radiographs

Medical Image Analysis

Top Venues

IEEE Trans. Signal Process.

Publications

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)
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)
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)
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)
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)
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)
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)
Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen, Ha Q. Nguyen
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans. CoRR (2020)
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)
Ha Q. Nguyen, Dat T. Ngo, Van Long Do
Deep Learning for Radar Pulse Detection. ICPRAM (2019)
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)
Ha P. K. Nguyen, Ha Q. Nguyen, Dat T. Ngo
Deep Learning for Pulse Repetition Interval Classification. ICPRAM (2019)
Ha Q. Nguyen, Emrah Bostan, Michael Unser
Learning Convex Regularizers for Optimal Bayesian Denoising. IEEE Trans. Signal Process. 66 (4) (2018)
Ha Q. Nguyen, Binh T. Nguyen, Trung Q. Dong, Dat T. Ngo, Tuan A. Nguyen
Deep Q-Learning with Multiband Sensing for Dynamic Spectrum Access. DySPAN (2018)
Ha P. K. Nguyen, Ha Q. Nguyen
Classification of Pulse Repetition Interval Modulations Using Neural Networks. SSCI (2018)
Ha Q. Nguyen, Ha P. K. Nguyen, Binh T. Nguyen
An Image Processing Approach to Wideband Spectrum Sensing of Heterogeneous Signals. CrownCom (2018)
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Ha Q. Nguyen, Emrah Bostan, Michael Unser
Learning Convex Regularizers for Optimal Bayesian Denoising. CoRR (2017)
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR (2017)
Ha Q. Nguyen, Minh N. Do
Downsampling of Signals on Graphs Via Maximum Spanning Trees. IEEE Trans. Signal Process. 63 (1) (2015)
Ha Q. Nguyen, Philip A. Chou, Yinpeng Chen
Compression of human body sequences using graph Wavelet Filter Banks. ICASSP (2014)
Ha Q. Nguyen, Minh N. Do
Inverse Rendering of Lambertian Surfaces Using Subspace Methods. IEEE Trans. Image Process. 23 (12) (2014)
Ha Q. Nguyen, Siying Liu, Minh N. Do
Subspace methods for computational relighting. Computational Imaging (2013)
Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
Frame permutation quantization. CISS (2010)
Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal
Concentric Permutation Source Codes. IEEE Trans. Commun. 58 (11) (2010)
Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
On concentric spherical codes and permutation codes with multiple initial codewords. ISIT (2009)
Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal
Concentric Permutation Source Codes CoRR (2009)
Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
Frame Permutation Quantization CoRR (2009)