Publications citing MIMIC-CXR Database v2.1.0

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study
Ryan Wang, Li-Ching Chen, Lama Moukheiber et al. International Journal of Medical Informatics, 2023. Cites: paper

Identifying causal effects of the clinical sentiment of patients' nursing notes on anticipated fall risk stratification
Haiyan Yu, Xiaolong Zuo, Jinxiang Tang et al. Information Processing & Management, 2023. Cites: paper

A scoping review on multimodal deep learning in biomedical images and texts
Zhaoyi Sun, Mingquan Lin, Qingqing Zhu et al. Journal of Biomedical Informatics, 2023. Cites: paper

Deep metric learning for few-shot X-ray image classification
Jakub Prokop, Javier Montalt‐Tordera, Joanna Jaworek-Korjakowska et al. medRxiv, 2023. Cites: paper

Convolutional Neural Network and Language Model-Based Sequential CT Image Captioning for Intracerebral Hemorrhage
Gi-Youn Kim, Byoung-Doo Oh, Chulho Kim et al. Applied Sciences, 2023. Cites: paper

Improving chest X-ray report generation by leveraging warm starting
Aaron Nicolson, Jason Dowling, Bevan Koopman. Artificial Intelligence in Medicine, 2023. Cites: paper

Exploring Transfer Learning approaches for thorax disease diagnosis
Deepika Pantola, Deepika Vatsa, Madhuri Gupta. International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2023. Cites: paper

A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li, Guangming Zhu, Cong Hua et al. ACM Computing Surveys, 2023. Cites: dataset

Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome
Mehak Arora, Carolyn Davis, Niraj Gowda et al. Bioengineering, 2023. Cites: paper

Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Jinghui Liu, Daniel Capurro N, Anthony N Nguyen et al. Journal of Biomedical Informatics, 2023. Cites: paper

Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts
John Lee Burns, Zachary Zaiman, Jack T. VanSchaik et al. Journal of medical imaging, 2023. Cites: paper

Effect of image resolution on automated classification of chest X-rays
Md Inzamam Ul Haque, Abhishek Dubey, Ioana Danciu et al. Journal of medical imaging, 2023. Cites: paper

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
Xinyue Hu, Lin Gu, Qiyuan An et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

Training certified detectives to track down the intrinsic shortcuts in COVID-19 chest x-ray data sets
Ran Zhang, Dalton Griner, John W. Garrett et al. Scientific Reports, 2023. Cites: paper

Evaluating progress in automatic chest X-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan et al. Patterns, 2023. Cites: paper

Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei et al. ACM Computing Surveys, 2023. Cites: paper

Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review
Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee et al. Sensors, 2023. Cites: paper

Knowledge-enhanced visual-language pre-training on chest radiology images
Xiaoman Zhang, Chaoyi Wu, Ya Zhang et al. Nature Communications, 2023. Cites: paper

Open datasets in perioperative medicine: a narrative review
Leerang Lim, Hyung‐Chul Lee. Anesthesia and Pain Medicine, 2023. Cites: paper

Image projective transformation rectification with synthetic data for smartphone-captured chest X-ray photos classification
Chak Fong Chong, Yapeng Wang, Benjamin K. Ng et al. Computers in Biology and Medicine, 2023. Cites: paper

Recent progress in transformer-based medical image analysis
Zhaoshan Liu, Qiujie Lv, Ziduo Yang et al. Computers in Biology and Medicine, 2023. Cites: dataset

A systematic survey on deep learning techniques for chest disease detection using chest radiographs
Akanksha Soni, Avinash Rai. Journal of Current Science and Technology, 2023. Cites: paper

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage
Bo Liu, Donghuan Lu, Dong Wei et al. IEEE Transactions on Medical Imaging, 2023. Cites: paper

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups
Monish Ahluwalia, Mohamed Abdalla, James K. Sanayei et al. Radiology Artificial Intelligence, 2023. Cites: paper

Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini, Nassir Navab, Anees Kazi. Medical Image Analysis, 2023. Cites: paper

Automated Pneumonia Detection from Chest X-Ray Images Using Deep Convolutional Neural Networks
Orestis Papadimitriou, Athanasios Kanavos, Manolis Μaragoudakis. International Conference on Information, Intelligence, Systems & Applications (IISA), 2023. Cites: paper

Deep learning-based age estimation from chest CT scans
Ghazal Azarfar, Seok‐Bum Ko, Scott Adams et al. International Journal of Computer Assisted Radiology and Surgery, 2023. Cites: paper

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
Shantanu Ghosh, Ke Yu, Forough Arabshahi et al. PubMed, 2023. Cites: paper

Joint representation and classifier learning for long-tailed image classification
Qingji Guan, Zhuangzhuang Li, Jiayu Zhang et al. Image and Vision Computing, 2023. Cites: paper

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
Firas Khader, Jakob Nikolas Kather, Gustav Anton Müller‐Franzes et al. Scientific Reports, 2023. Cites: paper

Understanding transfer learning for chest radiograph clinical report generation with modified transformer architectures
Edward B. Vendrow, Ethan Schonfeld. Heliyon, 2023. Cites: paper

Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost
Juexiao Zhou, Xiuying Chen, Xin Gao. medRxiv, 2023. Cites: paper

Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition
Shayan Fazeli, Alireza Samiei, Thomas D. Lee et al. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays
Pierre Decoodt, Tan Jun Liang, Soham Bopardikar et al. Journal of Imaging, 2023. Cites: paper

Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation
Ricardo Bigolin Lanfredi, Joyce Schroeder, Tolga Taşdizen. Frontiers in Radiology, 2023. Cites: paper

Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom Oluchi Ikezogwo, Mehmet Saygın Seyfioğlu, Fatemeh Ghezloo et al. PubMed, 2023. Cites: paper

Advanced Research in Pediatric Radiology and Nuclear Medicine
Curtise K. C. Ng. MDPI eBooks, 2023. Cites: paper

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang et al. Nature Biomedical Engineering, 2023. Cites: paper

The importance of resource awareness in artificial intelligence for healthcare
Zhenge Jia, Jianxu Chen, Xiaowei Xu et al. Nature Machine Intelligence, 2023. Cites: paper

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Shekoofeh Azizi, Laura Culp, Jan Freyberg et al. Nature Biomedical Engineering, 2023. Cites: paper

A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
Sreeparna Das, Ishan Ayus, Deepak Gupta. Health and Technology, 2023. Cites: paper

Integrating domain knowledge for biomedical text analysis into deep learning: A survey
Linkun Cai, Jia Li, Han Lv et al. Journal of Biomedical Informatics, 2023. Cites: paper

Interactive and Explainable Region-guided Radiology Report Generation
Tim Tanida, Philip Müller, Georgios A. Kaissis et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, 2023. Cites: paper

Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework
João Pedrosa, Pedro Sousa, Joana Silva et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2023. Cites: paper

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu, Bowen Chen, Andrew Zhang et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, 2023. Cites: paper

Comparing Visual Search Patterns in Chest X-Ray Diagnostics
Catarina Moreira, Diogo Miguel Alvito, Sandra Costa Sousa et al. ACM Symposium on Eye Tracking Research and Applications (ETRA), 2023. Cites: dataset

The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren. New England Journal of Medicine, 2023. Cites: paper

RETRACTED ARTICLE: An approach for disease prediction and classification using novel weighting method and multichannel shared functional behaviour
D. Saidulu, R. Sasikala. Soft Computing, 2023. Cites: paper

A survey on automatic generation of medical imaging reports based on deep learning
Ting Pang, Peigao Li, Lijie Zhao. BioMedical Engineering OnLine, 2023. Cites: paper

From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization
Shuai Zhao, Qing Li, Yuer Yang et al. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023. Cites: paper

Cited by