{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:11:45Z","timestamp":1783120305788,"version":"3.54.6"},"reference-count":9,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Immunological Methods"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1016\/j.jim.2022.113233","type":"journal-article","created":{"date-parts":[[2022,2,4]],"date-time":"2022-02-04T10:50:57Z","timestamp":1643971857000},"page":"113233","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Artificial intelligence and deep learning to map immune cell types in inflamed human tissue"],"prefix":"10.1016","volume":"505","author":[{"given":"Kayla","family":"Van Buren","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanghao","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amrutesh","family":"Puranik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cynthia A.","family":"Loomis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Narges","family":"Razavian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy B.","family":"Niewold","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jim.2022.113233_bb0005","series-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems","first-page":"2843","article-title":"Deep neural networks segment neuronal membranes in electron microscopy images","volume":"2","author":"Ciresan","year":"2012"},{"issue":"10","key":"10.1016\/j.jim.2022.113233_bb0010","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.1038\/s41591-018-0177-5","article-title":"Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning","volume":"24","author":"Coudray","year":"2018","journal-title":"Nat. Med."},{"issue":"1","key":"10.1016\/j.jim.2022.113233_bb0015","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3899\/jrheum.160293","article-title":"Gene expression profiling in blood and affected muscle tissues reveals differential activation pathways in patients with new-onset juvenile and adult dermatomyositis","volume":"44","author":"Lopez De Padilla","year":"2017","journal-title":"J. Rheumatol."},{"issue":"1","key":"10.1016\/j.jim.2022.113233_bb0020","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1186\/s13075-021-02511-0","article-title":"Proteome study of cutaneous lupus erythematosus (CLE) and dermatomyositis skin lesions reveals IL-16 is differentially upregulated in CLE","volume":"23","author":"Niewold","year":"2021","journal-title":"Arthritis Res. Ther."},{"issue":"11","key":"10.1016\/j.jim.2022.113233_bb0025","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1007\/s11926-015-0543-y","article-title":"Immunological biomarkers in dermatomyositis","volume":"17","author":"Olazagasti","year":"2015","journal-title":"Curr. Rheumatol. Rep."},{"key":"10.1016\/j.jim.2022.113233_bb0030","series-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","volume":"1505","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.jim.2022.113233_bb0035","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)","article-title":"Cell detection with star-convex polygons","author":"Schmidt","year":"2018"},{"issue":"9","key":"10.1016\/j.jim.2022.113233_bb0040","doi-asserted-by":"crossref","first-page":"2813","DOI":"10.1002\/art.27529","article-title":"Lesional and non lesional skin from untreated juvenile dermatomyositis (JDM) displays increased mast cells and mature plasmacytoid dendritic cells","volume":"62","author":"Shrestha","year":"2010","journal-title":"Arthritis Rheum."},{"issue":"1","key":"10.1016\/j.jim.2022.113233_bb0045","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1186\/s12859-019-2880-8","article-title":"Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison","volume":"20","author":"Vicar","year":"2019","journal-title":"BMC Bioinformatics"}],"container-title":["Journal of Immunological Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022175922000205?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022175922000205?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T16:40:14Z","timestamp":1758300014000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022175922000205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":9,"alternative-id":["S0022175922000205"],"URL":"https:\/\/doi.org\/10.1016\/j.jim.2022.113233","relation":{},"ISSN":["0022-1759"],"issn-type":[{"value":"0022-1759","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence and deep learning to map immune cell types in inflamed human tissue","name":"articletitle","label":"Article Title"},{"value":"Journal of Immunological Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jim.2022.113233","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"113233"}}