{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T20:57:20Z","timestamp":1725397040014},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.5220\/0009638100530058","type":"proceedings-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T17:30:28Z","timestamp":1594920628000},"page":"53-58","source":"Crossref","is-referenced-by-count":1,"title":["Retinal Vessel Segmentation by Inception-like Convolutional Neural Networks"],"prefix":"10.5220","author":[{"given":"Hadi","family":"Shirvan","sequence":"first","affiliation":[{"name":"Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran, --- Select a Country ---"}]},{"given":"Reza","family":"Moghadam","sequence":"first","affiliation":[{"name":"Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran, --- Select a Country ---"}]},{"given":"Kurosh","family":"Madani","sequence":"first","affiliation":[{"name":"LISSI Lab, Senart-FB Institute of Technology, University Paris Est-Creteil (UPEC), Lieusaint, France, --- Select a Country ---"}]}],"member":"3171","event":{"name":"1st International Conference on Deep Learning Theory and Applications","start":{"date-parts":[[2020,7,8]]},"location":"Lieusaint - Paris, France","end":{"date-parts":[[2020,7,10]]}},"container-title":["Proceedings of the 1st International Conference on Deep Learning Theory and Applications"],"original-title":["Retinal Vessel Segmentation by Inception-like Convolutional Neural Networks"],"deposited":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T07:52:40Z","timestamp":1596181960000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0009638100530058"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0009638100530058","relation":{},"subject":[],"published":{"date-parts":[[2020]]}}}