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radiology report

84 papers

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Co-occurring keywords

medical imaging (971) chest x-ray (118) large language model (13587) domain adaptation (4595) radiology report summarization (20) text summarization (896) clinical text (191) report generation (55) multimodal learning (4645) radiology report generation (79)

Papers

A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports COLING 2024
A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024
Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language NAACL 2024
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation ACL 2024
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification ACL 2024
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models ACL 2024
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports ACL 2024
GREEN: Generative Radiology Report Evaluation and Error Notation EMNLP 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NIPS 2024
Automatic Radiology Reports Generation via Memory Alignment Network AAAI 2024
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation ACL 2023
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts ACL 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models ACL 2023
An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports ACL 2023
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization ACL 2023
Data Augmentation for Radiology Report Simplification EACL 2023
Radiology Reports Improve Visual Representations Learned from Radiographs MIDL 2023
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization ACL 2023
RaLEs: a Benchmark for Radiology Language Evaluations NIPS 2023
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion AAAI 2023
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction MLHC 2023
e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation ACL 2023
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting EMNLP 2023
SINAI at RadSum23: Radiology Report Summarization Based on Domain-Specific Sequence-To-Sequence Transformer Model ACL 2023