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ORCIDHa Q. Nguyen 0001
Person information
- unicode name: Nguyễn Quý Hà
- affiliation: Viettel Research and Development Institute, Hanoi, Vietnam
- affiliation (former): École Polytechnique Fédérale de Lausanne, Switzerland
- affiliation (PhD 2014): University of Illinois at Urbana-Champaign, Urbana, IL, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2023
[j9]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: 14105-14114 (2023)- [c15]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: 681-685 - [c14]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: 686-689 - [i23]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 abs/2303.16507 (2023) - [i22]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 abs/2304.01220 (2023) - 2022
- [j8]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: 104512-104531 (2022) - [j7]Ngoc Huy Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, Thang Viet Nguyen, Hieu Huy Pham, Tuan Ngoc-Minh Nguyen:
Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings. Frontiers Digit. Health 4 (2022) - [c13]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: 2144-2148 - [i21]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 abs/2203.10609 (2022) - [i20]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 abs/2203.10611 (2022) - [i19]Ngoc Huy 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 abs/2203.10612 (2022) - [i18]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 abs/2203.11205 (2022) - [i17]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 abs/2203.11206 (2022) - [i16]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 abs/2208.03403 (2022) - [i15]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 abs/2208.03545 (2022) - [i14]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 abs/2209.04794 (2022) - 2021
- [j6]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: 186-194 (2021) - [c12]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: 3307-3316 - [c11]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: 291-301 - [i13]Ngoc Huy Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, Thang Viet Nguyen, Hieu Huy Pham, Tuan Ngoc-Minh Nguyen:
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs. CoRR abs/2104.02256 (2021) - [i12]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 abs/2106.12930 (2021) - [i11]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 abs/2107.01327 (2021) - [i10]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 abs/2108.06486 (2021) - [i9]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 abs/2108.06490 (2021) - [i8]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 abs/2112.04490 (2021) - 2020
- [c10]Van Long Do, Ha Phan Khanh Nguyen, Dat Thanh Ngo, Ha Quy Nguyen:
A Hierarchical Convolution Neural Network Scheme for Radar Pulse Detection. ICPRAM 2020: 15-22 - [i7]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 abs/2005.10992 (2020) - [i6]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 abs/2005.12734 (2020)
2010 – 2019
- 2019
- [c9]Ha Q. Nguyen, Dat T. Ngo, Van Long Do:
Deep Learning for Radar Pulse Detection. ICPRAM 2019: 32-39 - [c8]Ha P. K. Nguyen, Ha Q. Nguyen, Dat T. Ngo:
Deep Learning for Pulse Repetition Interval Classification. ICPRAM 2019: 313-319 - [i5]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 abs/1911.06475 (2019) - 2018
- [j5]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): 1440-1453 (2018) - [j4]Ha Q. Nguyen, Emrah Bostan, Michael Unser:
Learning Convex Regularizers for Optimal Bayesian Denoising. IEEE Trans. Signal Process. 66(4): 1093-1105 (2018) - [c7]Ha Q. Nguyen, Ha P. K. Nguyen, Binh T. Nguyen:
An Image Processing Approach to Wideband Spectrum Sensing of Heterogeneous Signals. CrownCom 2018: 211-221 - [c6]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: 1-5 - [c5]Ha P. K. Nguyen, Ha Q. Nguyen:
Classification of Pulse Repetition Interval Modulations Using Neural Networks. SSCI 2018: 1739-1743 - 2017
- [i4]Ha Q. Nguyen, Emrah Bostan, Michael Unser:
Learning Convex Regularizers for Optimal Bayesian Denoising. CoRR abs/1705.05591 (2017) - [i3]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR abs/1709.01809 (2017) - 2015
- [j3]Ha Q. Nguyen, Minh N. Do:
Downsampling of Signals on Graphs Via Maximum Spanning Trees. IEEE Trans. Signal Process. 63(1): 182-191 (2015) - 2014
- [j2]Ha Q. Nguyen, Minh N. Do:
Inverse Rendering of Lambertian Surfaces Using Subspace Methods. IEEE Trans. Image Process. 23(12): 5545-5558 (2014) - [c4]Ha Q. Nguyen, Philip A. Chou, Yinpeng Chen:
Compression of human body sequences using graph Wavelet Filter Banks. ICASSP 2014: 6152-6156 - 2013
- [c3]Ha Q. Nguyen, Siying Liu, Minh N. Do:
Subspace methods for computational relighting. Computational Imaging 2013: 865703 - 2010
- [j1]Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal:
Concentric Permutation Source Codes. IEEE Trans. Commun. 58(11): 3154-3164 (2010) - [c2]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
Frame permutation quantization. CISS 2010: 1-6
2000 – 2009
- 2009
- [c1]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
On concentric spherical codes and permutation codes with multiple initial codewords. ISIT 2009: 2038-2042 - [i2]Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal:
Concentric Permutation Source Codes. CoRR abs/0909.0704 (2009) - [i1]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
Frame Permutation Quantization. CoRR abs/0909.1599 (2009)
Coauthor Index
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