Publications citing MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing v1.1.0

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
Sang Joon Park, Eun Sun Lee, Kyung Sook Shin et al. Medical Image Analysis, 2023. Cites: paper

A Comprehensive Study of GPT-4V’s Multimodal Capabilities in Medical Imaging
Yingshu Li, Yunyi Liu, Zhanyu Wang et al. medRxiv, 2023. Cites: paper

Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training
Ke Zhang, Yan Qin Yang, Jun Yu et al. IEEE Transactions on Multimedia, 2023. Cites: paper

Towards an Exhaustive Evaluation of Vision-Language Foundation Models
Emmanuelle Salin, Stéphane Ayache, Benoît Favre. IEEE International Conference on Computer Vision Workshops, 2023. Cites: paper

A Novel Multimodal Prototype Network for Interpretable Medical Image Classification
Guangchen Wang, Jinbao Li, Tian Cheng et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2023. Cites: paper

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis
Chaoyi Wu, Xiaoman Zhang, Ya Zhang et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Pujin Cheng, Li Lin, Junyan Lyu et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
Maya Varma, Jean-Benoit Delbrouck, Sarah Hooper et al. IEEE/CVF International Conference on Computer Vision (ICCV), 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

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

The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa et al. npj Digital Medicine, 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

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

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu 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

Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
Anja Thieme, Aditya V. Nori, Marzyeh Ghassemi et al. CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 2023. Cites: paper

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training
Chaoyi Wu, Xiaoman Zhang, Ya Zhang et al. medRxiv, 2023. Cites: paper

Ariadne’s Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images
Yi Zhong, Mengqiu Xu, Kongming Liang et al. Lecture notes in computer science, 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

CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Kihyun You, Jawook Gu, Jiyeon Ham et al. Lecture notes in computer science, 2023. Cites: paper

Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation
Siyuan Wang, Bo Peng, Yichao Liu et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper

Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train
Zhao Wang, Chang Liu, Shaoting Zhang et al. Lecture notes in computer science, 2023. Cites: paper

Gene-Induced Multimodal Pre-training for Image-Omic Classification
Ting Jin, Xingran Xie, Renjie Wan 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

Learn Your Tokens: Word-Pooled Tokenization for Language Modeling
Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 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

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

Normal-Abnormal Decoupling Memory for Medical Report Generation
Guosheng Zhao, Yan Yan, Zijian Zhao. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Using Multiple Instance Learning to Build Multimodal Representations
Peiqi Wang, William M. Wells, Seth Berkowitz et al. Lecture notes in computer science, 2023. Cites: paper

Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Chantal Pellegrini, Matthias Keicher, Ege Özsoy et al. Lecture notes in computer science, 2023. Cites: paper

You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray
Jinghan Sun, Dong Wei, Zhe Xu et al. Lecture notes in computer science, 2023. Cites: paper

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