MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

21 January 2019

Alistair E. W. Johnson

Tom Pollard

Nathaniel R. Greenbaum

Papers citing "MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs"

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Title
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports Yikuan Li Hanyin Wang Yuan Luo 19 63 0 03 Sep 2020
Evaluating Knowledge Transfer in Neural Network for Medical Images Sina Akbarian Laleh Seyyed-Kalantari Farzad Khalvati Elham Dolatabadi 18 16 0 31 Aug 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets Beatriz Garcia Santa Cruz J. Sölter M. Bossa A. Husch OOD 36 11 0 26 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 29 44 0 19 Aug 2020
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs Steven Horng Ruizhi Liao Xin Wang Sandeep Dalal Polina Golland Seth Berkowitz 28 36 0 13 Aug 2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets S. Ghimire Satyananda Kashyap Joy T. Wu Alexandros Karargyris Mehdi Moradi OOD 26 8 0 04 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 58 625 0 02 Aug 2020
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning Satyananda Kashyap Alexandros Karargyris Joy T. Wu Yaniv Gur Arjun Sharma Ken C. L. Wong Mehdi Moradi T. Syeda-Mahmood OOD 14 12 0 02 Aug 2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies Leo K. Tam Xiaosong Wang E. Turkbey Kevin Lu Yuhong Wen Daguang Xu 31 13 0 31 Jul 2020
Searching for Pneumothorax in Half a Million Chest X-Ray Images Antonio Sze-To Hamid Tizhoosh 11 2 0 30 Jul 2020
Chest X-ray Report Generation through Fine-Grained Label Learning T. Syeda-Mahmood Ken C. L. Wong Yaniv Gur Joy T. Wu A. Jadhav ... A. Pillai Arjun Sharma A. Syed Orest Boyko Mehdi Moradi 39 46 0 27 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 23 104 0 15 Jul 2020
Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs Nazanin Mashhaditafreshi Amara Tariq J. Gichoya Imon Banerjee OOD AI4CE 12 1 0 11 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 34 31 0 26 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 20 776 0 22 Jun 2020
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports Xingyi Yang Nandiraju Gireesh Eric Xing P. Xie MedIm 13 2 0 17 Jun 2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams Vasiliki Kougia John Pavlopoulos P. Papapetrou Max Gordon 32 0 0 11 Jun 2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Yifan Peng Yuxing Tang Sungwon Lee Yingying Zhu Ronald M. Summers Zhiyong Lu OOD 14 16 0 11 Jun 2020
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays G. González A. Bustos J. M. Salinas M. Iglesia-Vayá J. Galant Carlos Cano-Espinosa X. Barber Domingo Orozco-Beltrán M. Cazorla A. Pertusa 27 7 0 06 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images Siham Tabik A. Gómez-Ríos J. L. Martín-Rodríguez I. Sevillano-García M. Rey-Area ... J. Luengo M. A. Valero-González P. García-Villanova E. Olmedo-Sánchez Francisco Herrera 22 269 0 02 Jun 2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients M. Iglesia-Vayá J. Saborit J. Montell A. Pertusa A. Bustos ... Domingo Orozco-Beltrán Francisco García-García M. Caparrós G. González J. M. Salinas 14 227 0 01 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 31 163 0 25 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 35 222 0 24 May 2020
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding Fenglin Liu Xuancheng Ren Guangxiang Zhao Chenyu You Xuewei Ma Xian Wu Xu Sun 45 2 0 16 May 2020
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations John McManigle Raquel R Bartz Lawrence Carin 11 3 0 08 May 2020
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization Sajad Sotudeh Nazli Goharian Ross W. Filice 11 56 0 01 May 2020
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study Isarun Chamveha T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon 9 5 0 23 Apr 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT Akshay Smit Saahil Jain Pranav Rajpurkar Anuj Pareek A. Ng M. Lungren MedIm 14 318 0 20 Apr 2020
COVID-19 Image Data Collection Joseph Paul Cohen Paul Morrison Lan Dao 35 1,008 0 25 Mar 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 27 49 0 26 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 37 285 0 14 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej A. Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 17 68 0 12 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 20 24 0 07 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
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs Joseph D. Janizek G. Erion A. DeGrave Su-In Lee OOD MedIm 30 29 0 13 Jan 2020
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging J. Zech Jessica Zosa Forde Michael L. Littman 21 5 0 08 Dec 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 24 11 0 24 Nov 2019
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels Hieu H. Pham T. Le Dat Q. Tran Dat Ngo H. Nguyen 30 32 0 15 Nov 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 26 10 0 12 Oct 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 43 121 0 03 Sep 2019
Boosting the rule-out accuracy of deep disease detection using class weight modifiers Alexandros Karargyris Ken C. L. Wong Joy T. Wu M. Moradi T. Syeda-Mahmood MedIm 14 1 0 21 Jun 2019
Do Lateral Views Help Automated Chest X-ray Predictions? H. Bertrand Mohammad Hashir Joseph Paul Cohen MedIm 35 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 39 271 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
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging L. Yao Jordan Prosky Ben Covington Kevin Lyman OOD LM&MA MedIm AI4CE 25 38 0 02 Apr 2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images Ruizhi Liao Jonathan Rubin Grace Y. Lam Seth Berkowitz Sandeep Dalal W. Wells Steven Horng Polina Golland 30 13 0 27 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 25 603 0 22 Jan 2019