{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:20:26Z","timestamp":1758273626203,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T00:00:00Z","timestamp":1624924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SCH-1622542; SCH-1622536; SCH-1622679"],"award-info":[{"award-number":["SCH-1622542; SCH-1622536; SCH-1622679"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EY019474"],"award-info":[{"award-number":["R01EY019474"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,29]]},"DOI":"10.1145\/3453892.3454002","type":"proceedings-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T17:01:49Z","timestamp":1624986109000},"page":"33-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation"],"prefix":"10.1145","author":[{"given":"Peng","family":"Tian","sequence":"first","affiliation":[{"name":"Northeastern University, United States"}]},{"given":"Jennifer","family":"Dy","sequence":"additional","affiliation":[{"name":"Northeastern University, United States"}]},{"given":"Deniz","family":"Erdogmus","sequence":"additional","affiliation":[{"name":"Northeastern University, United States"}]},{"given":"Susan","family":"Ostmo","sequence":"additional","affiliation":[{"name":"Oregon Health & Science University, United States"}]},{"given":"J. Peter","family":"Campbell","sequence":"additional","affiliation":[{"name":"Oregon Health & Science University, United States"}]},{"given":"Michael F.","family":"Chiang","sequence":"additional","affiliation":[{"name":"National Eye Institute, United States"}]},{"given":"Stratis","family":"Ioannidis","sequence":"additional","affiliation":[{"name":"Northeastern University, United States"}]}],"member":"320","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.4.6.5"},{"key":"e_1_3_2_1_2_1","first-page":"35","article-title":"Preterm-associated visual impairment and estimates of retinopathy of prematurity at regional and global levels for 2010","volume":"74","author":"Blencowe Hannah","year":"2013","unstructured":"Hannah Blencowe , Joy\u00a0 E Lawn , Thomas Vazquez , Alistair Fielder , and Clare Gilbert . 2013 . Preterm-associated visual impairment and estimates of retinopathy of prematurity at regional and global levels for 2010 . Pediatric 74 (2013), 35 \u2013 49 . Hannah Blencowe, Joy\u00a0E Lawn, Thomas Vazquez, Alistair Fielder, and Clare Gilbert. 2013. Preterm-associated visual impairment and estimates of retinopathy of prematurity at regional and global levels for 2010. Pediatric 74(2013), 35\u201349.","journal-title":"Pediatric"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/39.3-4.324"},{"key":"e_1_3_2_1_4_1","volume-title":"Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA ophthalmology 136, 7","author":"Brown M","year":"2018","unstructured":"James\u00a0 M Brown , J\u00a0Peter Campbell , Andrew Beers , Ken Chang , Susan Ostmo , R V\u00a0Paul Chan , Jennifer Dy , Deniz Erdogmus , Stratis Ioannidis , Jayashree Kalpathy-Cramer , 2018. Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA ophthalmology 136, 7 ( 2018 ), 803\u2013810. James\u00a0M Brown, J\u00a0Peter Campbell, Andrew Beers, Ken Chang, Susan Ostmo, RV\u00a0Paul Chan, Jennifer Dy, Deniz Erdogmus, Stratis Ioannidis, Jayashree Kalpathy-Cramer, 2018. Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA ophthalmology 136, 7 (2018), 803\u2013810."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/archopht.1988.01060130517027"},{"volume-title":"Multiscale vessel enhancement filtering","author":"Frangi F","key":"e_1_3_2_1_6_1","unstructured":"Alejandro\u00a0 F Frangi , Wiro\u00a0 J Niessen , Koen\u00a0 L Vincken , and Max\u00a0 A Viergever . 1998. Multiscale vessel enhancement filtering . In MICCAI. Springer , 130\u2013137. Alejandro\u00a0F Frangi, Wiro\u00a0J Niessen, Koen\u00a0L Vincken, and Max\u00a0A Viergever. 1998. Multiscale vessel enhancement filtering. In MICCAI. Springer, 130\u2013137."},{"key":"e_1_3_2_1_7_1","volume-title":"The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) curve.Radiology 143, 1","author":"Hanley A","year":"1982","unstructured":"James\u00a0 A Hanley and Barbara\u00a0 J McNeil . 1982. The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) curve.Radiology 143, 1 ( 1982 ). James\u00a0A Hanley and Barbara\u00a0J McNeil. 1982. The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) curve.Radiology 143, 1 (1982)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1208129"},{"key":"e_1_3_2_1_9_1","volume-title":"Retinopathy of Prematurity. The lancet 382, 9902","author":"Hellstr\u00f6m Ann","year":"2013","unstructured":"Ann Hellstr\u00f6m , Lois\u00a0 EH Smith , and Olaf Dammann . 2013. Retinopathy of Prematurity. The lancet 382, 9902 ( 2013 ), 1445\u20131457. Ann Hellstr\u00f6m, Lois\u00a0EH Smith, and Olaf Dammann. 2013. Retinopathy of Prematurity. The lancet 382, 9902 (2013), 1445\u20131457."},{"key":"e_1_3_2_1_10_1","first-page":"991","article-title":"The international classification of retinopathy of prematurity revisited","volume":"123","author":"International Committee for the Classification of Retinopathy of Prematurity.","year":"2005","unstructured":"International Committee for the Classification of Retinopathy of Prematurity. 2005 . The international classification of retinopathy of prematurity revisited . JAMA Ophthalmology 123 , 7 (2005), 991 \u2013 999 . International Committee for the Classification of Retinopathy of Prematurity. 2005. The international classification of retinopathy of prematurity revisited. JAMA Ophthalmology 123, 7 (2005), 991\u2013999.","journal-title":"JAMA Ophthalmology"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.91.5.859"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2016.07.020"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.56205"},{"key":"e_1_3_2_1_14_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015 . U-net: Convolutional networks for biomedical image segmentation . In MICCAI. Springer , 234\u2013241. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In MICCAI. Springer, 234\u2013241."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke and Andrew Rabinovich. 2015. Going deeper with convolutions. In CVPR. 1\u20139.  Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke and Andrew Rabinovich. 2015. Going deeper with convolutions. In CVPR. 1\u20139.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Peng Tian Yuan Guo Jayashree Kalpathy-Cramer Susan Ostmo John\u00a0Peter Campbell Michael\u00a0F Chiang Jennifer Dy Deniz Erdogmus and Stratis Ioannidis. 2019. A severity score for retinopathy of prematurity. In KDD. 1809\u20131819.  Peng Tian Yuan Guo Jayashree Kalpathy-Cramer Susan Ostmo John\u00a0Peter Campbell Michael\u00a0F Chiang Jennifer Dy Deniz Erdogmus and Stratis Ioannidis. 2019. A severity score for retinopathy of prematurity. In KDD. 1809\u20131819.","DOI":"10.1145\/3292500.3330713"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.06.004"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.9.2.10"}],"event":{"name":"PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference","acronym":"PETRA '21","location":"Corfu Greece"},"container-title":["Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3453892.3454002","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3453892.3454002","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3453892.3454002","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:41Z","timestamp":1750191461000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3453892.3454002"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,29]]},"references-count":18,"alternative-id":["10.1145\/3453892.3454002","10.1145\/3453892"],"URL":"https:\/\/doi.org\/10.1145\/3453892.3454002","relation":{},"subject":[],"published":{"date-parts":[[2021,6,29]]},"assertion":[{"value":"2021-06-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}