Publications citing MIMIC-CXR Database v2.1.0

Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification
Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni et al. Lecture notes in computer science, 2022. Cites: paper

Joint Learning of Localized Representations from Medical Images and Reports
Mueller, Philip;Kaissis, Georgios;Zou, Congyu;Rueckert, Daniel. mediaTUM (Technical University of Munich), 2022. Cites: paper

Joint Learning of Localized Representations from Medical Images and Reports
Philip Müller, Georgios A. Kaissis, Congyu Zou et al. Lecture notes in computer science, 2022. Cites: dataset, paper

Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images with Multi-task UNet
Hongzhi Zhu, Robert N. Rohling, Septimiu E. Salcudean. Lecture notes in computer science, 2022. Cites: paper

Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review
Song Wang, Mingquan Lin, Tirthankar Ghosal et al. Health Data Science, 2022. Cites: paper

Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Cites: paper

Lesion Guided Explainable Few Weak-Shot Medical Report Generation
Jinghan Sun, Dong Wei, Liansheng Wang et al. Lecture notes in computer science, 2022. Cites: paper

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Gregory Holste, Song Wang, Ziyu Jiang et al. Lecture notes in computer science, 2022. Cites: paper

MATNet: Exploiting Multi-Modal Features for Radiology Report Generation
Caozhi Shang, Shaoguo Cui, Tiansong Li et al. IEEE Signal Processing Letters, 2022. Cites: paper

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Cites: paper

MedicalSum: A Guided Clinical Abstractive Summarization Model for Generating Medical Reports from Patient-Doctor Conversations
George Michalopoulos, Kyle Brandon Williams, Gagandeep Singh et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2022. Cites: paper

Multi-Label Medical Image Retrieval Via Learning Multi-Class Similarity
Xiaoyuan Guo, Jiali Duan, Judy Wawira Gichoya et al. SSRN Electronic Journal, 2022. Cites: paper

Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers
Benjamin Duvieusart, Felix Krones, Guy Parsons et al. Lecture notes in computer science, 2022. Cites: paper

OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
Gunhee Nam, Tae Soo Kim, Sang Hyup Lee et al. Lecture notes in computer science, 2022. Cites: paper

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)
2022. Cites: paper

Proceedings of the 4th Clinical Natural Language Processing Workshop
2022. Cites: paper

Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification
Luyang Luo, Dunyuan Xu, Hao Chen et al. Lecture notes in computer science, 2022. Cites: paper

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays
Philip Müller, Georgios A. Kaissis, Congyu Zou et al. Lecture notes in computer science, 2022. Cites: dataset, paper

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna. Lecture notes in computer science, 2022. Cites: dataset

RadTex: Learning Efficient Radiograph Representations from Text Reports
Keegan Quigley, Miriam Cha, Ruizhi Liao et al. Lecture notes in computer science, 2022. Cites: paper

RRED : A Radiology Report Error Detector based on Deep Learning Framework
Dabin Min, Kaeun Kim, Jong Hyuk Lee et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2022. Cites: paper

The Deep Learning-Based Framework for Automated Predicting COVID-19 Severity Score
Yongchang Zheng, Hongwei Dong. Procedia Computer Science, 2022. Cites: paper

TranSQ: Transformer-Based Semantic Query for Medical Report Generation
Ming Chai Kong, Zhengxing Huang, Kun Kuang et al. Lecture notes in computer science, 2022. Cites: paper

Vulnerability Due to Training Order in Split Learning
Harshit Madaan, Manish Gawali Viraj Kulkarni, Aniruddha Pant. Lecture notes in networks and systems, 2022. Cites: paper

Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning
Fakrul Islam Tushar, Vincent M. D’Anniballe, Rui Hou et al. Radiology Artificial Intelligence, 2021. Cites: paper

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography
Jarrel C. Y. Seah, Cyril H. M. Tang, Quinlan D. Buchlak et al. BMJ Open, 2021. Cites: paper

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott et al. Nature Medicine, 2021. Cites: dataset, paper

X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
Chuang Niu, Ge Wang. arXiv (Cornell University), 2021. Cites: paper

Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines
Zaheer Babar, Twan van Laarhoven, Elena Marchiori. PLoS ONE, 2021. Cites: paper

Review on Deep Learning Methods for Chest X-Ray based Abnormality Detection and Thoracic Pathology Classification
Joana Rocha, Ana Maria Mendonça, Aurélio Campilho. U Porto Journal of Engineering, 2021. Cites: paper

Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation
Yan Qin Yang, Jun Yu, Jian Zhang et al. IEEE Transactions on Multimedia, 2021. Cites: paper

CLiP, catheter and line position dataset
Jennifer S. N. Tang, Jarrel C. Y. Seah, Adil Zia et al. Scientific Data, 2021. Cites: paper

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Ajay Kumar Jaiswal, Liyan Tang, Meheli Ghosh et al. PubMed, 2021. Cites: paper

Pulling Up by the Causal Bootstraps
Sindhu C. M. Gowda, Shalmali D. Joshi, Haoran Zhang et al. ACM International Conference on Information and Knowledge Management (CIKM), 2021. Cites: paper

Basic Artificial Intelligence Techniques
Jackson Steinkamp, Tessa Sundaram Cook. Radiologic Clinics of North America, 2021. Cites: paper

Separating Hope from Hype
Jared Dunnmon. Radiologic Clinics of North America, 2021. Cites: paper

Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels
James Thomas Patrick Decourcy Hallinan, Mengling Feng, Dianwen Ng et al. Academic Radiology, 2021. Cites: paper

Artificial intelligence: opportunities in lung cancer
Kai Zhang, Kezhong Chen. Current Opinion in Oncology, 2021. Cites: paper

Performance of a deep learning CNN model for the automated detection of 13 common conditions on Chest X-rays
Tirupathi Karthik, Vijayalakshmi Kasiraman, Bhavani Paski et al. 2021. Cites: paper

The reporting quality of natural language processing studies: systematic review of studies of radiology reports
Emma M. Davidson, Michael T. C. Poon, Arlene Casey et al. BMC Medical Imaging, 2021. Cites: paper

Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey
Navdeep Kaur, Ajay Mittal, Gurprem Singh. Multimedia Tools and Applications, 2021. Cites: paper

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
Gongbo Liang, Connor Greenwell, Yu Zhang et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Practical Guide to Natural Language Processing for Radiology
Ali Mozayan, Alexander R. Fabbri, Michelle N. Maneevese et al. Radiographics, 2021. Cites: paper

A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation.
Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique et al. International Journal of Interactive Multimedia and Artificial Intelligence, 2021. Cites: paper

Automated Generation of Accurate \& Fluent Medical X-ray Reports
Hoang T. Nguyen, Dong Nie, Taivanbat Badamdorj et al. arXiv (Cornell University), 2021. Cites: paper

Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
Sindhu C. M. Gowda, Shalmali D. Joshi, Haoran Zhang et al. DSpace@MIT (Massachusetts Institute of Technology), 2021. Cites: paper

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman et al. Sensors, 2021. Cites: paper

Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis
Vandecia Fernandes, Geraldo Bráz, Anselmo Cardoso de Paiva et al. Computer Methods and Programs in Biomedicine, 2021. Cites: paper

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Jarrel C. Y. Seah, Cyril H. M. Tang, Quinlan D. Buchlak et al. The Lancet Digital Health, 2021. Cites: paper

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