{
 "id": "MK-runner/Multi-view-CXR",
 "owner": "MK-runner",
 "name": "Multi-view-CXR",
 "downloads": 26,
 "likes": 2,
 "last_modified": "2026-09-18T00:55:13.000Z",
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 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "image-to-text-generation",
  "text-generation",
  "radiology-report-generation"
 ],
 "citation": "@article{2026-bioinformatics-evoke,\n    author = {Miao, Qiguang and Liu, Kang and Ma, Zhuoqi and Li, Yunan and Kang, Xiaolu and Liu, Ruixuan and Liu, Tianyi and Xie, Kun},\n    title = {Patient-specific multimodal learning with multi-view contrastive alignment for chest X-ray report generation},\n    journal = {Bioinformatics},\n    volume = {42},\n    number = {8},\n    pages = {btag566},\n    year = {2026},\n    month = {08},\n    issn = {1367-4811},\n    doi = {10.1093/bioinformatics/btag566},\n    url = {https://doi.org/10.1093/bioinformatics/btag566},\n    eprint = {https://academic.oup.com/bioinformatics/article-pdf/42/8/btag566/70263843/btag566.pdf},\n}",
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 "revision": "0b3b1aaf66971968d460dc54ca9d15f787c0a5b7",
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}