Publications citing MIMIC-CXR Database v2.1.0

Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach
Julián D. Arias-Londoño, Jorge A. Gómez-García, Laureano Moro-Velázquez et al. IEEE Access, 2020. Cites: paper

Artificial Intelligence-Based Triaging of Normal Chest Radiographs: Results of a Retrospective Simulation Study in a Multi-Center Health Screening Cohort
Hyunsuk Yoo, Eun Young Kim, Hyung Jin Kim et al. SSRN Electronic Journal, 2020. Cites: paper

Assisting Radiologists in X-Ray Diagnostics
Cristian Avramescu, Bogdan Alexandru Bercean, Stefan Iarca et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2020. Cites: paper

Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification
Eduardo Pooch, Pedro L. Ballester, Rodrigo Coelho Barros. Lecture notes in computer science, 2020. Cites: paper

Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification
Ecem Sogancioglu, Keelin Murphy, Erdi Çallı et al. IEEE Access, 2020. Cites: paper

Chest X-Ray Report Generation Through Fine-Grained Label Learning
Tanveer Fathima Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur et al. Lecture notes in computer science, 2020. Cites: paper

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations
Hong-Yu Zhou, Shuang Yu, Cheng Bian et al. Lecture notes in computer science, 2020. Cites: paper

Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT
Yifan Wu, Jiancong Wang, William David Lindsay et al. Lecture notes in computer science, 2020. Cites: paper

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
Geeticka Chauhan, Ruizhi Liao, William M. Wells et al. Lecture notes in computer science, 2020. Cites: paper

Learning to Generate Clinically Coherent Chest X-Ray Reports
Justin Lovelace, Bobak J. Mortazavi. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2020. Cites: paper

Learning Visual Context by Comparison
Minchul Kim, Jongchan Park, Seil Na et al. Lecture notes in computer science, 2020. Cites: paper

Searching for Pneumothorax in Half a Million Chest X-Ray Images
Antonio Sze-To, Hamid R. Tizhoosh. Lecture notes in computer science, 2020. Cites: paper

Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays
Tom van Sonsbeek, Marcel Worring. Lecture notes in computer science, 2020. Cites: paper

Computer Assisted Reading of Chest Radiographs
Nandinee Fariah Haq, Z. Jane Wang. IEEE Global Conference on Signal and Information Processing, 2019. Cites: paper

Creating the Black Box: A Primer on Convolutional Neural Network Use in Image Interpretation
Toshimasa James Clark, Eric Nyberg. Current Problems in Diagnostic Radiology, 2019. Cites: paper

A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams
Nelson Nunes, Bruno Martins, Nuno André da Silva et al. Lecture notes in computer science, 2019. Cites: paper

Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays
Maram Mahmoud A. Monshi, Josiah Poon, Yuk Ying Chung. Communications in computer and information science, 2019. Cites: paper

Deep Text Prior: Weakly Supervised Learning for Assertion Classification
Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov. Lecture notes in computer science, 2019. Cites: paper

On the Intersection of Deep Learning and Chest Radiography: Background and Prospects
Sudipta Singha Roy, Anirban Choudhury. SSRN Electronic Journal, 2019. Cites: paper

tCheXNet: Detecting Pneumothorax on Chest X-Ray Images Using Deep Transfer Learning
Antonio Sze-To, Zihe Wang. Lecture notes in computer science, 2019. Cites: paper

Development of a business plan for women's health services, using Malcolm Baldrige Performance Excellence Criteria.
Laura Caramanica, Sidney R. Maxwell, Stephen Curry. PubMed, 2000. Cites: paper

Improving Nurses' Cooperation with Clinical Research
Elaine M. Lasoff. JONA The Journal of Nursing Administration, 1986. Cites: paper

Cited by