ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

5 May 2017

Xiaosong Wang

Papers citing "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases"

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Title
Hybrid Deep Learning for Detecting Lung Diseases from X-ray Images Subrato Bharati Prajoy Podder M. Rubaiyat Hossain Mondal ViT 4 5 0 02 Mar 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels Daizong Liu Shuangjie Xu Pan Zhou Kun He Wei Wei Zichuan Xu 18 1 0 26 Feb 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 19 49 0 26 Feb 2020
When Radiology Report Generation Meets Knowledge Graph Yixiao Zhang Xiaosong Wang Ziyue Xu Qihang Yu Alan Yuille Daguang Xu MedIm 26 295 0 19 Feb 2020
Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach Isarun Chamveha Treethep Promwiset T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon MedIm 18 26 0 18 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 17 68 0 12 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 46 127 0 06 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 4 19 0 23 Jan 2020
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting Hisaichi Shibata S. Hanaoka Y. Nomura Takahiro Nakao Issei Sato D. Sato Naoto Hayashi O. Abe MedIm 14 2 0 22 Jan 2020
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 39 45 0 16 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 16 11 0 24 Nov 2019
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration Dwarikanath Mahapatra GAN OOD MedIm 13 7 0 18 Oct 2019
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation Yundong Zhang Hang Wu Huiye Liu L. Tong May D. Wang OOD 24 10 0 12 Oct 2019
Automated Enriched Medical Concept Generation for Chest X-ray Images Aydan Gasimova 14 11 0 07 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 21 373 0 27 Sep 2019
Localization with Limited Annotation for Chest X-rays Eyal Rozenberg Daniel Freedman A. Bronstein 14 16 0 19 Sep 2019
Evaluating and Boosting Uncertainty Quantification in Classification Xiaoyang Huang Jiancheng Yang Linguo Li Haoran Deng Bingbing Ni Yi Tian Xu 8 9 0 13 Sep 2019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification E. Pooch P. Ballester Rodrigo C. Barros OOD 43 120 0 03 Sep 2019
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays Yuxing Tang Youbao Tang V. Sandfort Jing Xiao Ronald M. Summers ViT MedIm 24 40 0 21 Aug 2019
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data Maayan Frid-Adar Rula Amer H. Greenspan MedIm 6 22 0 20 Aug 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Zongwei Zhou V. Sodha M. R. Siddiquee Ruibin Feng Nima Tajbakhsh Michael B. Gotway Jianming Liang MedIm 9 301 0 19 Aug 2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization M. R. Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang GAN MedIm 22 91 0 16 Aug 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 22 444 0 24 Jul 2019
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs A. Gooßen Hrishikesh Deshpande T. Harder Evan Schwab Ivo M. Baltruschat T. Mabotuwana N. Cross A. Saalbach 14 25 0 16 Jul 2019
Justifying Diagnosis Decisions by Deep Neural Networks Graham Spinks Marie-Francine Moens 31 13 0 12 Jul 2019
Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications J. D. Seo MedIm FAtt 8 4 0 05 Jul 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Florin-Cristian Ghesu Bogdan Georgescu Eli Gibson Sebastian Gündel M. Kalra Ramandeep Singh S. Digumarthy Sasa Grbic Dorin Comaniciu UQCV 14 45 0 18 Jun 2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays X. Li Rui Cao D. Zhu 13 20 0 12 Jun 2019
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension David Chettrit Orna Bregman-Amitai Itamar Tamir A. Bar E. Elnekave 18 9 0 28 May 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels Sebastian Gündel Florin-Cristian Ghesu Sasa Grbic Eli Gibson Bogdan Georgescu Andreas Maier Dorin Comaniciu 36 25 0 15 May 2019
Caveats in Generating Medical Imaging Labels from Radiology Reports Tobi Olatunji L. Yao Ben Covington Alexander Rhodes Anthony Upton MedIm 11 18 0 06 May 2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays Behzad Bozorgtabar Dwarikanath Mahapatra Hendrik von Teng Alexander Pollinger L. Ebner Jean-Phillipe Thiran M. Reyes MedIm GAN 20 33 0 24 Apr 2019
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness Lan-Zhe Guo Yu-Feng Li Ming Li Jinfeng Yi Bowen Zhou Zhi-Hua Zhou 27 2 0 22 Apr 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation Youbao Tang Yuxing Tang Jing Xiao Ronald M. Summers 17 119 0 19 Apr 2019
Do Lateral Views Help Automated Chest X-ray Predictions? H. Bertrand Mohammad Hashir Joseph Paul Cohen MedIm 33 15 0 17 Apr 2019
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu T. Hsu Matthew B. A. McDermott Willie Boag W. Weng Peter Szolovits Marzyeh Ghassemi MedIm 30 271 0 04 Apr 2019
Identifying disease-free chest X-ray images with deep transfer learning Ken C. L. Wong Mehdi Moradi Joy T. Wu T. Syeda-Mahmood MedIm 14 19 0 02 Apr 2019
Early Diagnosis of Pneumonia with Deep Learning Can Jozef Saul Deniz Yagmur Urey Can Doruk Taktakoglu AI4CE 8 33 0 01 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 27 48 0 31 Mar 2019
Radiological images and machine learning: trends, perspectives, and prospects Zhenwei Zhang E. Sejdić LM&MA MedIm AI4CE 13 164 0 27 Mar 2019
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Yuan Li Xiaodan Liang Zhiting Hu Eric Xing MedIm 17 268 0 25 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 31 40 0 03 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 30 972 0 14 Feb 2019
Synthesizing New Retinal Symptom Images by Multiple Generative Models Yi-Chieh Liu Hao-Hsiang Yang Chao-Han Huck Yang Jia-Hong Huang Meng Tian Hiromasa Morikawa Y. Tsai Jesper N. Tegnér GAN MedIm 9 21 0 11 Feb 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 17 602 0 22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 17 785 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 17 2,539 0 21 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation Hugo Oliveira E. Ferreira J. A. dos Santos MedIm 19 14 0 16 Jan 2019