{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T00:01:24Z","timestamp":1784937684634,"version":"3.55.0"},"reference-count":51,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376004"],"award-info":[{"award-number":["62376004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.neucom.2026.133823","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:06:57Z","timestamp":1777993617000},"page":"133823","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Medical report generation via knowledge distillation and medical keywords"],"prefix":"10.1016","volume":"693","author":[{"given":"Lili","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiming","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenglong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133823_bib0005","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1109\/RBME.2024.3408456","article-title":"Automated radiology report generation: a review of recent advances","volume":"18","author":"Sloan","year":"2024","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"10.1016\/j.neucom.2026.133823_bib0010","series-title":"Proceedings of Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025","article-title":"learning with explicit topological priors for chest X-ray Rib segmentation","volume":"vol. LNCS 15975","author":"Zhao","year":"2025"},{"key":"10.1016\/j.neucom.2026.133823_bib0015","series-title":"Advances in Neural Information Processing Systems","article-title":"Attention is all you need","volume":"vol. 30","author":"Vaswani","year":"2017"},{"key":"10.1016\/j.neucom.2026.133823_bib0020","series-title":"European Conference on Computer Vision","first-page":"162","article-title":"Contrastive learning with counterfactual explanations for radiology report generation","author":"Li","year":"2025"},{"key":"10.1016\/j.neucom.2026.133823_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128122","article-title":"Improving radiology report generation with multi-grained abnormality prediction","volume":"600","author":"Jin","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133823_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.127374","article-title":"Trust it or not: confidence-guided automatic radiology report generation","volume":"578","author":"Wang","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133823_bib0035","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"10.1016\/j.neucom.2026.133823_bib0040","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"101","article-title":"Cxr-clip: toward large scale chest x-ray language-image pre-training","author":"You","year":"2023"},{"key":"10.1016\/j.neucom.2026.133823_bib0045","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"15952","article-title":"CLIP-KD: an empirical study of clip model distillation","author":"Yang","year":"2024"},{"key":"10.1016\/j.neucom.2026.133823_bib0050","author":"Wang"},{"key":"10.1016\/j.neucom.2026.133823_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2026.113680","article-title":"Medical image segmentation via attention-enhanced mamba with learnable symmetry scan and a benchmark","volume":"179","author":"Zhao","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.133823_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2026.114365","article-title":"Morphology-aware hierarchical mixture of experts for chest X-ray anatomy segmentation","volume":"173","author":"Huang","year":"2026","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.133823_bib0065","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025","first-page":"300","article-title":"Learning with explicit topological priors for chest X-ray rib segmentation","author":"Zhao","year":"2026"},{"key":"10.1016\/j.neucom.2026.133823_bib0070","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"655","article-title":"A medical semantic-assisted transformer for radiographic report generation","author":"Wang","year":"2022"},{"key":"10.1016\/j.neucom.2026.133823_bib0075","series-title":"Medical Imaging with Deep Learning","first-page":"1493","article-title":"Flexr: few-shot classification with language embeddings for structured reporting of chest x-rays","author":"Keicher","year":"2024"},{"key":"10.1016\/j.neucom.2026.133823_bib0080","doi-asserted-by":"crossref","first-page":"2816","DOI":"10.1109\/TETCI.2023.3311333","article-title":"Parameter-efficient transfer learning for medical visual question answering","volume":"8","author":"Liu","year":"2023","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.neucom.2026.133823_bib0085","author":"Eslami"},{"key":"10.1016\/j.neucom.2026.133823_bib0090","series-title":"International Conference on Information Processing in Medical Imaging","first-page":"471","article-title":"X-tra: improving chest x-ray tasks with cross-modal retrieval augmentation","author":"van Sonsbeek","year":"2023"},{"key":"10.1016\/j.neucom.2026.133823_bib0095","series-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing","article-title":"Generating radiology reports via memory-driven transformer","author":"Chen","year":"2020"},{"key":"10.1016\/j.neucom.2026.133823_bib0100","series-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing","article-title":"Cross-modal memory networks for radiology report generation","author":"Chen","year":"2021"},{"key":"10.1016\/j.neucom.2026.133823_bib0105","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","article-title":"Exploring and distilling posterior and prior knowledge for radiology report generation","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.133823_bib0110","series-title":"Computer Vision\u2013ECCV 2022: 17th European Conference","article-title":"Cross-modal prototype driven network for radiology report generation","author":"Wang","year":"2022"},{"key":"10.1016\/j.neucom.2026.133823_bib0115","series-title":"Medical Image Computing and Computer Assisted Intervention","article-title":"Aligntransformer: hierarchical alignment of visual regions and disease tags for medical report generation","author":"You","year":"2021"},{"key":"10.1016\/j.neucom.2026.133823_bib0120","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1109\/TMM.2023.3273390","article-title":"Semi-supervised medical report generation via graph-guided hybrid feature consistency","volume":"26","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.133823_bib0125","series-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17\u201324, 2023","first-page":"11558","article-title":"METransformer: radiology report generation by transformer with multiple learnable expert tokens","author":"Wang","year":"2023"},{"issue":"11","key":"10.1016\/j.neucom.2026.133823_bib0130","doi-asserted-by":"crossref","first-page":"4017","DOI":"10.1109\/TMI.2024.3412402","article-title":"Token-mixer: bind image and text in one embedding space for medical image reporting","volume":"43","author":"Yang","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neucom.2026.133823_bib0135","author":"Wu"},{"key":"10.1016\/j.neucom.2026.133823_bib0140","author":"Wang"},{"key":"10.1016\/j.neucom.2026.133823_bib0145","series-title":"Proceedings of the 23rd Workshop on Biomedical Natural Language Processing","first-page":"440","article-title":"XrayGPT: chest radiographs summarization using large medical vision-language models","author":"Thawakar","year":"2024"},{"key":"10.1016\/j.neucom.2026.133823_bib0150","doi-asserted-by":"crossref","first-page":"2892","DOI":"10.1109\/TMI.2025.3554498","article-title":"Spatio-temporal and retrieval-augmented modelling for chest X-ray report generation","volume":"44","author":"Yang","year":"2025","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neucom.2026.133823_bib0155","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"10012","article-title":"Swin transformer: hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.133823_bib0160","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1093\/jamia\/ocv080","article-title":"Preparing a collection of radiology examinations for distribution and retrieval","volume":"23","author":"Demner-Fushman","year":"2016","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"10.1016\/j.neucom.2026.133823_bib0165","author":"Johnson"},{"key":"10.1016\/j.neucom.2026.133823_bib0170","series-title":"Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics","article-title":"BLEU: a method for automatic evaluation of machine translation","author":"Papineni","year":"2002"},{"key":"10.1016\/j.neucom.2026.133823_bib0175","series-title":"Proceedings of the Sixth Workshop on Statistical Machine Translation","article-title":"Meteor 1.3: automatic metric for reliable optimization and evaluation of machine translation systems","author":"Denkowski","year":"2011"},{"key":"10.1016\/j.neucom.2026.133823_bib0180","series-title":"Text Summarization Branches Out","first-page":"74","article-title":"Rouge: a package for automatic evaluation of summaries","author":"Lin","year":"2004"},{"key":"10.1016\/j.neucom.2026.133823_bib0185","series-title":"Conference on Empirical Methods in Natural Language Processing","first-page":"1500","article-title":"CheXbert: combining automatic labelers and expert annotations for accurate radiology report labeling using BERT","author":"Smit","year":"2020"},{"key":"10.1016\/j.neucom.2026.133823_bib0190","series-title":"Natural Language Processing with Python and spaCy: A Practical Introduction","author":"Vasiliev","year":"2020"},{"key":"10.1016\/j.neucom.2026.133823_bib0195","series-title":"Annual Meeting of the Association for Computational Linguistics","article-title":"Competence-based multimodal curriculum learning for medical report generation","author":"Liu","year":"2022"},{"key":"10.1016\/j.neucom.2026.133823_bib0200","series-title":"Findings","article-title":"Reinforced cross-modal alignment for radiology report generation","author":"Qin","year":"2022"},{"key":"10.1016\/j.neucom.2026.133823_bib0205","series-title":"European Conference on Artificial Intelligence","article-title":"Automatic radiology report generation by learning with increasingly hard negatives","author":"Voutharoja","year":"2023"},{"key":"10.1016\/j.neucom.2026.133823_bib0210","doi-asserted-by":"crossref","first-page":"4145","DOI":"10.1109\/JBHI.2024.3393018","article-title":"Memory-based cross-modal semantic alignment network for radiology report generation","volume":"28","author":"Tao","year":"2024","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.neucom.2026.133823_bib0215","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"4776","article-title":"Automatic radiology reports generation via memory aligment network","author":"Shen","year":"2024"},{"key":"10.1016\/j.neucom.2026.133823_bib0220","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"2607","article-title":"Promptmrg: diagnosis-driven prompts for medical report generation","volume":"vol. 38","author":"Jin","year":"2024"},{"key":"10.1016\/j.neucom.2026.133823_bib0225","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"19809","article-title":"Kiut: knowledge-injected u-transformer for radiology report generation","author":"Huang","year":"2023"},{"key":"10.1016\/j.neucom.2026.133823_bib0230","doi-asserted-by":"crossref","first-page":"2970","DOI":"10.1109\/TIP.2025.3568746","article-title":"Cross-modal causal representation learning for radiology report generation","volume":"34","author":"Chen","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133823_bib0235","author":"Zhao"},{"key":"10.1016\/j.neucom.2026.133823_bib0240","series-title":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","first-page":"2053","article-title":"Enhanced knowledge injection for radiology report generation","author":"Li","year":"2023"},{"key":"10.1016\/j.neucom.2026.133823_bib0245","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1109\/TMM.2021.3122542","article-title":"Joint embedding of deep visual and semantic features for medical image report generation","volume":"25","author":"Yang","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.133823_bib0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102510","article-title":"Knowledge matters: chest radiology report generation with general and specific knowledge","volume":"80","author":"Yang","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neucom.2026.133823_bib0255","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"588","article-title":"A self-guided framework for radiology report generation","author":"Li","year":"2022"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012208?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012208?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T23:05:25Z","timestamp":1784934325000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226012208"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":51,"alternative-id":["S0925231226012208"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133823","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Medical report generation via knowledge distillation and medical keywords","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133823","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133823"}}