{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:05:18Z","timestamp":1757617518519,"version":"3.44.0"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031820236"},{"type":"electronic","value":"9783031820243"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-82024-3_10","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T14:10:35Z","timestamp":1740406235000},"page":"121-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Establishment of a Hypoxia Cellular Morphology Model Based on Deep Convolutional Neural Networks and Intelligent Screening of Anti-hypoxia Drugs"],"prefix":"10.1007","author":[{"given":"Xinyi","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,25]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Bai, Q., Tan, S., Xu, T., Liu, H., Huang, J., Yao, X.: MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. (2020)","DOI":"10.1093\/bib\/bbaa161"},{"key":"10_CR2","unstructured":"Shuang, Z., Lu, C., Xue, P., Rui, H.E., Chao-Ying, L.I.: Effects of compound ginseng misture on anti-hypoxia and antitiredness in mice. Ginseng Res. (2015)"},{"issue":"1","key":"10_CR3","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1038\/s41467-020-20213-0","volume":"12","author":"D Kusumoto","year":"2021","unstructured":"Kusumoto, D., et al.: Anti-senescent drug screening by deep learning-based morphology senescence scoring. Nat. Commun. 12(1), 257 (2021)","journal-title":"Nat. Commun."},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Kusumoto, D., Seki, T., Sawada, H., Kunitomi, A., Yuasa, S.: Anti-senescent drug screening by deep learning-based morphology senescence scoring. Nat. Commun. 12(1) (2021)","DOI":"10.1038\/s41467-020-20213-0"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Blaschke, T., Ar\u00fas-Pous, J., Chen, H., Margreitter, C., Patronov, A.: Reinvent 2.0: an AI tool for de novo drug design. J. Chem. Inf. Model. 60(12) (2020)","DOI":"10.1021\/acs.jcim.0c00915"},{"key":"10_CR6","doi-asserted-by":"publisher","first-page":"174617","DOI":"10.1016\/j.ejphar.2021.174617","volume":"912","author":"Y Tang","year":"2021","unstructured":"Tang, Y., et al.: Salidroside attenuates CoCl2-simulated hypoxia injury in PC12 cells partly by mitochondrial protection. Eur. J. Pharmacol. 912, 174617 (2021)","journal-title":"Eur. J. Pharmacol."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Xu, Y., Peng, C., Li, M., Li, Y., Du, S.: Pyramid feature attention network for monocular depth prediction. In: 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136 (2021)","DOI":"10.1109\/ICME51207.2021.9428446"},{"key":"10_CR8","unstructured":"Bo, C., Wanping, L.: Study of radar high range resolution profiles target recognition based on complex networks, PhD thesis, Xidian University (2018)"},{"issue":"5","key":"10_CR9","first-page":"10","volume":"25","author":"W Di","year":"2020","unstructured":"Di, W., Hongtian, Z., Shibao, Z.: Motion deblurring method based on DenseNets. J. Image Graph. 25(5), 10 (2020)","journal-title":"J. Image Graph."},{"key":"10_CR10","unstructured":"Shenjian, C.: Research and implementation of target recognition based on multimodal information fusion, Master\u2019s thesis, School of Information and Software Engineering (2023)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82024-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T06:35:16Z","timestamp":1757140516000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82024-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031820236","9783031820243"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82024-3_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Geneva","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"41","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cgs-network.org\/cgi24\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}