A curated list of radiology report generation (medical report generation) and related areas. :-)
- A Survey on Biomedical Image Captioning - Kougia V et al,
arXiv preprint 2019. - Deep learning in generating radiology reports: A survey - Monshi et al,
arXiv preprint 2020. - Diagnostic Captioning: A Survey - Pavlopoulos et al,
arXiv preprint 2021.
- Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation - Shin H C et al,
CVPR 2016.[code].
- Mdnet: A semantically and visually interpretable medical image diagnosis network - Zhang Z et al,
CVPR 2017. - Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases - Wang X et al,
CVPR 2017. - Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references - Zhang Z et al,
MICCAI 2017.
- On the automatic generation of medical imaging reports - Jing B et al,
ACL 2018[code]. - Textray: Mining clinical reports to gain a broad understanding of chest x-rays - Laserson J et al,
MICCAI 2018. - Hybrid retrieval-generation reinforced agent for medical image report generation - Li Y et al,
NIPS 2018.
- Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports - Jing B et al,
ACL 2019. - Automatic radiology report generation based on multi-view image fusion and medical concept enrichment - Yuan et al,
MICCA 2019. - Addressing data bias problems for chest x-ray image report generation - Harzig P et al,
BMVC 2019. - Knowledge-driven encode, retrieve, paraphrase for medical image report generation - Li C Y et al,
AAAI 2019. - Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network - Yin et al,
ICDM 2019. - EEGtoText: Learning to Write Medical Reports from EEG Recordings - Biswal S et al,
PMLR 2019. - Multi-Attention and Incorporating Background Information Model for Chest X-Ray Image Report Generation - Huang X et al,
ACCESS 2019. - Baselines for Chest X-Ray Report Generation - Boag W et al,
arXiv preprint 2019. - Clinically accurate chest X-ray report generation - Liu G et al,
arXiv preprint 2019.[code] - Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports - Zhang Y et al,
arXiv preprint 2019. - Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment -Jianbo Yuan et,
arXiv preprint 2019.
- Generating Radiology Reports via Memory-driven Transformer - Chen Z et al,
EMNLP 2020. [code] - When Radiology Report Generation Meets Knowledge Graph - Zhang Y et al,
AAAI 2020. - Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation - Toru Nishino et al.
EMNLP 2020 - WIRE: An Automated Report Generation System using Topical and Temporal Summarization
sigir2020
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation - Liu F et al,
CVPR 2021. - A Self-Boosting Framework for Automated Radiographic Report Generation - Wang Z et al,
CVPR 2021. - Cross-modal Memory Networks for Radiology Report Generation -Chen Z et al,
ACL 2021 - Contrastive Attention for Automatic Chest X-ray Report Generation -Fenglin Liu et al,
Arxiv 2021 - Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation -Yasuhide Miura et al,
NACCL 2021 - A Self-boosting Framework for Automated Radiographic Report Generation -Zhanyu Wang et al,
CVPR 2021. - Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation -Fenglin Liu et al.,
CVPR 2021. - Competence-based Multimodal Curriculum Learning for Medical Report Generation (Short) -Fenglin Liu et al.
ACL 2021 - Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation -Xingyi Yang et al.
ACL 2021 - Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition -Fuyu Wang et al.
IEEE CYB 2021 - Progressive Transformer-Based Generation of Radiology Reports -Farhad Nooralahzadeh et al.
EMNLP 2021 - Variational Topic Inference for Chest X-Ray Report Generation -Ivona Najdenkoska et al.
Arxiv 2021 - Confidence-Guided Radiology Report Generation -Yixin Wang et al.
NIPS 2021
- Preparing a collection of radiology examinations for distribution and retrieval - Demner-Fushman D et al,
JAMIA 2016. - MIMIC-CXR: a large publicly available database of labeled chest radiographs - Johnson A E W et al,
arXiv preprint 2019. - Padchest: A large chest x-ray image dataset with multi-label annotated reports - Bustos A et al,
arXiv preprint 2019.
To the extent possible under law, Zhihong Chen has waived all copyright and related or neighboring rights to this work.