radiology report

“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion AAAI 2023 Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization ACL 2023 RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models ACL 2023 RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction MLHC 2023 Radiology Reports Improve Visual Representations Learned from Radiographs MIDL 2023 RaLEs: a Benchmark for Radiology Language Evaluations NeurIPS 2023 shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation ACL 2023 SINAI at RadSum23: Radiology Report Summarization Based on Domain-Specific Sequence-To-Sequence Transformer Model ACL 2023 Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting EMNLP 2023 Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities ACL 2023 UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization ACL 2023 Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ACL 2022 Graph Enhanced Contrastive Learning for Radiology Findings Summarization ACL 2022 Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation NAACL 2022 Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022 Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NeurIPS 2022 Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations AACL 2022 RRED : A Radiology Report Error Detector based on Deep Learning Framework NAACL 2022 Automatic Radiology Report Editing Through Voice Interspeech 2021 Cross-modal Memory Networks for Radiology Report Generation ACL 2021 Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021 Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning NAACL 2021 paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization NAACL 2021 A Hybrid Deep Learning Approach for Spatial Trigger Extraction from Radiology Reports EMNLP 2020 An Ensemble Approach for Automatic Structuring of Radiology Reports EMNLP 2020