Publications citing MIMIC-CXR Database v2.1.0

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography
Adnane Ait Nasser, Moulay A. Akhloufi. Diagnostics, 2023. Cites: paper

Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee. IEEE Access, 2023. Cites: paper

A Generalized Deep Learning Model for Multi-disease Chest X-Ray Diagnostics
Nabit Bajwa, Kedar Bajwa, Muhammad Faique Shakeel et al. Lecture notes in computer science, 2023. Cites: paper

Anatomy-Driven Pathology Detection on Chest X-rays
Philip Müller, Felix Meissen, Johannes Brandt et al. Lecture notes in computer science, 2023. Cites: paper

A survey of medical image captioning technique： encoding， decoding and latest advance
Yi Zhu, Xiu Li. Journal of Image and Graphics, 2023. Cites: paper

Baselines for Automatic Medical Image Reporting
Franco Alberto Cardillo. Lecture notes in networks and systems, 2023. Cites: paper

Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification
Bogdan Alexandru Bercean, Alexandru Buburuzan, Andreea Birhala et al. Lecture notes in computer science, 2023. Cites: paper

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Tobias Weber, Michael Ingrisch, Bernd Bischl et al. Lecture notes in computer science, 2023. Cites: paper

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Compositional Zero-Shot Domain Transfer with Text-to-Text Models
Fangyu Liu, Qianchu Liu, Shruthi Bannur et al. Transactions of the Association for Computational Linguistics, 2023. Cites: paper

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
Cheng Chen, Aoxiao Zhong, Dufan Wu et al. Lecture notes in computer science, 2023. Cites: paper

Controllable Chest X-Ray Report Generation from Longitudinal Representations
Francesco Serra, Chaoyang Wang, Fani Deligianni et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Cross-Modal Conceptualization in Bottleneck Models
Danis Alukaev, Semen Kiselev, Ilya Pershin et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper

Datasets for Medical Sentiment Analysis
Kerstin Denecke. Springer eBooks, 2023. Cites: paper

Deep Discriminative Hashing for Cross-Modal Hashing Based Computer-Aided Diagnosis
ChongShen Yang, Yufeng Shi. Lecture notes in computer science, 2023. Cites: paper

Deep learning approaches to automatic radiology report generation: A systematic review
Yuxiang Liao, Hantao Liu, ‪Irena Spasić. Informatics in Medicine Unlocked, 2023. Cites: paper

Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy
Kai Packhäuser, Sebastian Gündel, Florian Thamm et al. Lecture notes in computer science, 2023. Cites: paper

Development and validation of deep learning and BERT models for classification of lung cancer radiology reports
Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane et al. Informatics in Medicine Unlocked, 2023. Cites: paper

Diversity-Preserving Chest Radiographs Generation from Reports in One Stage
Zeyi Hou, Ruixin Yan, Qizheng Wang et al. Lecture notes in computer science, 2023. Cites: paper

Exploring the Boundaries of GPT-4 in Radiology
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation
Toru Nishino. Journal of Natural Language Processing, 2023. Cites: paper

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
Nan Zhang, Yusen Zhang, Wu Guo et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
DongAo Ma, Jiaxuan Pang, Michael B. Gotway et al. Lecture notes in computer science, 2023. Cites: paper

Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method
Wen Tang, Chenhao Pei, Pengxin Yu et al. Lecture notes in computer science, 2023. Cites: paper

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Jan Trienes, Paul Youssef, Jörg Schlötterer et al. International Natural Language Generation Conference (INLG), 2023. Cites: paper

Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts
Awais Ahmed, Rui Xi, Mengshu Hou et al. IEEE Access, 2023. Cites: paper

Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images
Amarachi Blessing Mbakwe, Lyuyang Wang, Mehdi Moradi et al. Lecture notes in computer science, 2023. Cites: paper

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
Gregory Holste, Ziyu Jiang, Ajay Kumar Jaiswal et al. Lecture notes in computer science, 2023. Cites: paper

Information Extraction from Polish Radiology Reports Using Language Models
Aleksander Obuchowski, Barbara Klaudel, Patryk Jasik. Workshop on Slavic Natural Language Processing (SlavicNLP), 2023. Cites: paper

KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization
Jinge Wu, Daqian Shi, Abul Hasan et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool
Queralt Miró Catalina, Aïna Fuster‐Casanovas, Josep Vidal‐Alaball et al. Digital Health, 2023. Cites: paper

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training
Xiaofei Chen, Yuting He, Cheng Qi Xue et al. Lecture notes in computer science, 2023. Cites: paper

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization
Gangwoo Kim, Hajung Kim, Lei Ji et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed. IEEE Winter Conference on Applications of Computer Vision, 2023. Cites: paper

Lung Cancer Diagnosis Using X-Ray and CT Scan Images Based on Machine Learning Approaches
Sunil Kumar, Harish Kumar. Lecture notes in networks and systems, 2023. Cites: paper

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Zhihao Chen, Yang Zhou, Anh Nguyen Tran et al. Lecture notes in computer science, 2023. Cites: paper

Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models
Hitomi Yanaka, Yuta Nakamura, Yuki Chida et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking
Yutong Xie, Lin Gu, Tatsuya Harada et al. Lecture notes in computer science, 2023. Cites: paper

MeFormer: Generating Radiology Reports via Memory Enhanced Pretraining Transformer
Fang Li, Pengfei Wang, Kuan Lin et al. Lecture notes in computer science, 2023. Cites: paper

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
Yixiong Chen, Li Liu, Jingxian Li et al. Lecture notes in computer science, 2023. Cites: paper

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
Che Liu, Sibo Lucas Cheng, Chen Chen et al. Lecture notes in computer science, 2023. Cites: paper

Mixed-domain Language Modeling for Processing Long Legal Documents
Wenyue Hua, Yuchen Zhang, Zhe Chen et al. Natural Legal Language Processing Workshop (NLLP), 2023. Cites: paper

Multi-Task Learning for Lung Disease Classification and Report Generation via Prior Graph Structure and Contrastive Learning
Kaifeng Guo, Shihao Zheng, Ri Huang et al. IEEE Access, 2023. Cites: paper

MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
Yan Miao, Lequan Yu. Lecture notes in computer science, 2023. Cites: paper

Optimizing the Synergistic Potential of Pseudo-Labels from Radiology Notes and Annotated Ground Truth in Identifying Pulmonary Opacities on Chest Radiographs for Early Detection of Acute Respiratory Distress Syndrome.
Mehak Arora, Carolyn Davis, Angana Mondal et al. PubMed, 2023. Cites: paper

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization
Jean-Benoit Delbrouck, Maya Varma, Pierre Chambon et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang et al. Lecture notes in computer science, 2023. Cites: paper

Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks
Siyi Tang, Amara Tariq, Jared Dunnmon et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra et al. IEEE Winter Conference on Applications of Computer Vision, 2023. Cites: paper

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?
Sedigheh Eslami, Christoph Meinel, Gerard de Melo. Findings of the Association for Computational Linguistics: EACL, 2023. Cites: paper

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