{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T23:10:37Z","timestamp":1789081837398,"version":"build-2803163510"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/jbhi.2020.2995193","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T21:26:05Z","timestamp":1589837165000},"page":"131-142","source":"Crossref","is-referenced-by-count":28,"title":["Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4019-479X","authenticated-orcid":false,"given":"Noha","family":"Ghatwary","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0904-2904","authenticated-orcid":false,"given":"Massoud","family":"Zolgharni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7479-6708","authenticated-orcid":false,"given":"Faraz","family":"Janan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0115-0724","authenticated-orcid":false,"given":"Xujiong","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925585"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref33","first-page":"1383","article-title":"Automatic detection of early esophageal cancer with CNNs using transfer learning","author":"riel","year":"0","journal-title":"Proc 25th IEEE Int Conf Image Process"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-54345-0_23"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2930891"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60964-5_78"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01914-4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461963"},{"key":"ref29","article-title":"Sub-Challenge Early Barrett's cancer detection","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21551"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2917163"},{"key":"ref22","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2637004"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.619"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01958-6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2869278"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_20"},{"key":"ref50","first-page":"12","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"0","journal-title":"Proc Assoc Advance Artif Intell"},{"key":"ref51","article-title":"Mobilenets: Efficient convo- lutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref52","author":"chollet","year":"2015"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944676"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics9030099"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7163821"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2018.04.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2907434"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.026"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref18","first-page":"4489","article-title":"Learning spatiotemporal features with 3\ufffdd convolutional networks","author":"tran","year":"0","journal-title":"Proc IEEE Int Conf Comput Vision"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2930173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1442-2050.2004.00382.x"},{"key":"ref3","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/gut.2004.041525"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.6.1.014502"},{"key":"ref8","first-page":"113","article-title":"Detection of lesions in dysplastic Barrett's esophagus by community and expert endoscopists","volume":"49","author":"scholvinck","year":"2017","journal-title":"Endoscopy"},{"key":"ref7","first-page":"313","article-title":"Barrett's adenocarcinoma of the esophagus: Better outcomes through new methods of diagnosis and treatment","volume":"108","author":"behrens","year":"2011","journal-title":"Deutsches Ärzteblatt Int"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67543-5_3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.03.014"},{"key":"ref46","first-page":"109","article-title":"Efficient inference in fully connected CRFS with gaussian edge potentials","author":"kr\u00e4henb\u00fchl","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2894854"},{"key":"ref48","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervention"},{"key":"ref47","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2900426"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00291"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref43","article-title":"Visualizing and understanding recurrent networks","author":"karpathy","year":"2015","journal-title":"arXiv 1506 02078"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9313839\/09095215.pdf?arnumber=9095215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:58Z","timestamp":1652194378000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9095215\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":52,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.2995193","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}