Dung B. Nguyen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices	2023	Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen Dung B. Nguyen Ha Q. Nguyen Hieu H. Pham
+ PDF Chat	VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations	2022	Ha Q. Nguyen Khanh Lam Linh Le Hieu H. Pham Dat Q. Tran Dung B. Nguyen Dung D. Le Chi M. Pham Hang T. T. Tong Diep H. Dinh
+ PDF Chat	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms	2022	Huyen T. X. Nguyen Sam B. Tran Dung B. Nguyen Hieu H. Pham Ha Q. Nguyen
+	Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices	2022	Dat Ngo Hieu H. Pham Thao T. B. Nguyen Hieu T. Nguyen Dung B. Nguyen Ha Q. Nguyen
+ PDF Chat	An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph	2021	Hieu H. Pham Ha Q. Nguyen Khanh Lam Linh Le Dung B. Nguyen Hieu Nguyen Tung Le Thắng Việt Nguyễn Minh N. Dao Van Vu
+	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms	2021	Huyen T. X. Nguyen Sam B. Tran Dung B. Nguyen Hieu H. Pham Ha Q. Nguyen
+	VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations	2020	Ha Q. Nguyen Khanh Lam Linh Le Hieu H. Pham Dat Q. Tran Dung B. Nguyen Dung D. Le Chi M. Pham Hang T. T. Tong Diep H. Dinh

Common Coauthors

Coauthor	Papers Together
Hieu H. Pham	7
Ha Q. Nguyen	4
Van Vu	3
Linh Le	3
Ha Q. Nguyen	3
Nhan T. Nguyen	2
Dung D. Le	2
Hang T. T. Tong	2
Binh T. Nguyen	2
Phuong H. Ho	2
Chi M. Pham	2
Que V. Nguyen	2
Khanh Lam	2
Dat Ngo	2
Hieu T. Nguyen	2
Luu T. Doan	2
Diep H. Dinh	2
Au D. Hoang	2
Hien N. Phan	2
Nguyễn Ngọc Cương	2
Minh N. Dao	2
Thao T. B. Nguyen	2
Nghia T. Nguyen	2
Dat Ngo	2
Dat Q. Tran	2
Huyen T. X. Nguyen	1
Sam B. Tran	1
Hieu Nguyen	1
Tung Le	1
Huyen T. X. Nguyen	1
Sam B. Tran	1
A. T. Nguyen	1
Thắng Việt Nguyễn	1
Khanh Lam	1
Minh Quang Dao	1
Do Duc Cuong	1
Cuong Do	1
Anh Tuấn Nguyễn	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting	2020	Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin Andrew Y. Ng Matthew P. Lungren	2
+	Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels	2021	Hieu H. Pham Tung Le Dat Q. Tran Dat Ngo Ha Q. Nguyen	2
+	CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT	2020	Akshay Smit Saahil Jain Pranav Rajpurkar Anuj Pareek Andrew Y. Ng Matthew P. Lungren	2
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+ PDF Chat	Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening	2019	Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang Masha Zorin Stanisław Jastrzȩbski Thibault Févry Joe Katsnelson Eric Kim	2
+ PDF Chat	Exploring Large-scale Public Medical Image Datasets	2019	Luke Oakden‐Rayner	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	2
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	2
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	2
+ PDF Chat	Bag of Tricks for Image Classification with Convolutional Neural Networks	2019	Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	1
+ PDF Chat	Deep Learning to Improve Breast Cancer Detection on Screening Mammography	2019	Li Shen Laurie R. Margolies Joseph H. Rothstein Eugene Fluder Russell B. McBride Weiva Sieh	1
+	On the limits of cross-domain generalization in automated X-ray prediction	2020	Joseph Cohen Mohammad Hashir Rupert Brooks Hadrien Bertrand	1
+	Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels	2019	Hieu H. Pham Tung Le Dat Q. Tran Dat Ngo Ha Q. Nguyen	1
+ PDF Chat	EfficientDet: Scalable and Efficient Object Detection	2020	Mingxing Tan Ruoming Pang Quoc V. Le	1
+	CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness	2020	Nick A. Phillips Pranav Rajpurkar Mark Sabini Rayan Krishnan Sharon Zhou Anuj Pareek Nguyet Minh Phu Chris Wang Andrew Y. Ng Matthew P. Lungren	1
+ PDF Chat	3D Deep Learning on Medical Images: A Review	2020	Satya P. Singh Lipo Wang Sukrit Gupta Haveesh Goli Parasuraman Padmanabhan Balázs Gulyás	1
+ PDF Chat	A deep learning system for differential diagnosis of skin diseases	2020	Yuan Liu Ayush Jain Clara Eng David H. Way Kang Lee Peggy Bui Kimberly Kanada Guilherme de Oliveira Marinho Jessica Gallegos Sara Gabriele	1
+	CheXplain	2020	Yao Xie Melody Chen David Kao Ge Gao Xiang Chen	1
+ PDF Chat	VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations	2022	Ha Q. Nguyen Khanh Lam Linh Le Hieu H. Pham Dat Q. Tran Dung B. Nguyen Dung D. Le Chi M. Pham Hang T. T. Tong Diep H. Dinh	1
+	A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs	2021	Ngoc Huy Nguyen Ha Q. Nguyen Nghia T. Nguyen Thắng Việt Nguyễn Hieu Huy Pham Tuan Ngoc-Minh Nguyen	1
+ PDF Chat	VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs	2021	Hieu Nguyen Hieu H. Pham Nghia T. Nguyen Ha Q. Nguyen Huỳnh Quyết Thắng Minh N. Dao Van Vu	1
+	Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks	2021	Thanh Tung Tran Hieu H. Pham Thắng Việt Nguyễn Tung Le Hieu Nguyen Ha Q. Nguyen	1
+ PDF Chat	VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography	2022	Hieu T. Nguyen Ha Q. Nguyen Hieu H. Pham Khanh Lam Linh Le Minh Quang Dao Van Vu	1
+ PDF Chat	Phase recognition in contrast‐enhanced CT scans based on deep learning and random sampling	2022	Binh T. Dao Thang V. Nguyen Hieu H. Pham Ha Q. Nguyen	1
+ PDF Chat	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms	2022	Huyen T. X. Nguyen Sam B. Tran Dung B. Nguyen Hieu H. Pham Ha Q. Nguyen	1
+	CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta Tony Duan Daisy Yi Ding Aarti Bagul Curtis P. Langlotz Katie Shpanskaya	1
+	Measuring nominal scale agreement among many raters.	1971	Joseph L. Fleiss	1
+ PDF Chat	An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph	2022	Hieu H. Pham Ha Q. Nguyen Hieu Nguyen Linh Le Khanh Lam	1
+ PDF Chat	The Measurement of Observer Agreement for Categorical Data	1977	J. Richard Landis Gary G. Koch	1
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	1
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	1
+	High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks	2017	Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. Gene Kim Eric Kim Laura Heacock Ujas Parikh Linda Moy Kyunghyun Cho	1
+ PDF Chat	Deep Learning for Medical Image Processing: Overview, Challenges and the Future	2017	Imran Razzak Saeeda Naz Ahmad Zaib	1
+	CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta Tony Duan Daisy Yi Ding Aarti Bagul Curtis P. Langlotz Katie Shpanskaya	1
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	1
+ PDF Chat	PadChest: A large chest x-ray image dataset with multi-label annotated reports	2020	Aurelia Bustos Antonio Pertusa José María Salinas María de la Iglesia-Vayá	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1