Ha Q. Nguyen - RankMe

44 papers B 1C 2Misc 2Journal 30Unranked 9

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