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All published works
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Title
Year
Authors
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Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
2022
Thao Nguyen
Tam M. Vo
Thắng Việt Nguyễn
Hieu H. Pham
Ha Q. Nguyen
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Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
2022
Thao T. B. Nguyen
Tam M. Vo
Van Thang Nguyen
Hieu H. Pham
Ha Q. Nguyen
Common Coauthors
Coauthor
Papers Together
Hieu H. Pham
2
Ha Q. Nguyen
2
Van Thang Nguyen
1
Thao T. B. Nguyen
1
Thắng Việt Nguyễn
1
Thao Nguyen
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
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Rethinking the Inception Architecture for Computer Vision
2016
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
1
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
2017
Yifan Peng
Xiaosong Wang
Le Lü
Mohammadhadi Bagheri
Ronald M. Summers
Zhiyong Lu
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
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
2017
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
1
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NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
2017
Yifan Peng
Xiaosong Wang
Le Lü
Mohammadhadi Bagheri
Ronald M. Summers
Zhiyong Lu
1
+
PDF
Chat
Densely Connected Convolutional Networks
2017
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+
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
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
+
PDF
Chat
Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets
2020
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
1
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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
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
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PDF
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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
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PDF
Chat
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
2021
Hieu H. Pham
Van Than Dung
Ha Q. Nguyen
1
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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
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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
1
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VisualCheXbert
2021
Saahil Jain
Akshay Smit
Steven Qh Truong
Chanh D. Tr. Nguyen
Minh-Thanh Huynh
Mudit Jain
Victoria A. Young
Andrew Y. Ng
Matthew P. Lungren
Pranav Rajpurkar
1
+
CheXtransfer
2021
Alexander Ke
William L. Ellsworth
Oishi Banerjee
Andrew Y. Ng
Pranav Rajpurkar
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