{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T04:56:36Z","timestamp":1781585796746,"version":"3.54.5"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Cognitive Science Research Initiative","award":["DST\/CSRI\/2017\/47"],"award-info":[{"award-number":["DST\/CSRI\/2017\/47"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/jbhi.2020.3024188","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T20:28:40Z","timestamp":1600201720000},"page":"1724-1734","source":"Crossref","is-referenced-by-count":79,"title":["Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images"],"prefix":"10.1109","volume":"25","author":[{"given":"Edwin","family":"Thomas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. J","family":"Pawan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shushant","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anmol","family":"Horo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Niyas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Vinayagamani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-8666","authenticated-orcid":false,"given":"Chandrasekharan","family":"Kesavadas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8045-6005","authenticated-orcid":false,"given":"Jeny","family":"Rajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.10062"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1117\/12.912109"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2210725"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref37","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"0","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1980.1056144"},{"key":"ref34","first-page":"240","article-title":"Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations","author":"sudre","year":"0","journal-title":"Proc Deep Learn Med Image Anal Multimodal Learn Clin Decis Support"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.bspc.2019.04.024","article-title":"Automatic detection and localization of focal cortical dysplasia lesions in MRI using fully convolutional neural network","volume":"52","author":"dev","year":"2019","journal-title":"Biomed Signal Process Control"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1046\/j.1528-1157.2003.08102.x","article-title":"Epileptogenicity of focal malformations due to abnormal cortical development: Direct electrocorticographic&#x2013;histopathologic correlations","volume":"44","author":"boonyapisit","year":"0","journal-title":"Epilepsia"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.04.225"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1111\/j.1528-1167.2006.00379.x","article-title":"In vivo profiling of focal cortical dysplasia on high-resolution MRI with computational models","volume":"47","author":"colliot","year":"0","journal-title":"Epilepsia"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1111\/j.1528-1167.2009.02022.x","article-title":"Automated normalized flair imaging in MRI-negative patients with refractory focal epilepsy","volume":"50","author":"focke","year":"0","journal-title":"Epilepsia"},{"key":"ref17","article-title":"A study on detection of focal cortical dysplasia using MRI brain images","volume":"4","author":"subashini","year":"2011","journal-title":"J Comput Appl"},{"key":"ref18","first-page":"865","article-title":"Automated detection of focal cortical dysplasia lesions on t1-weighted MRI using volume-based distributional features","author":"yang","year":"0","journal-title":"Proc IEEE Int Symp Biomed Imag From Nano to Macro"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1212\/WNL.0000000000000543","article-title":"Automated detection of cortical dysplasia type ii in MRI-negative epilepsy","volume":"83","author":"hong","year":"2014","journal-title":"Neurology"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00408"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1212\/01.WNL.0000114507.30388.7E"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2019.09.028"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.34.4.369"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1528-1167.2010.02777.x"},{"key":"ref29","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"0","journal-title":"Proc 30st AAAI Conf Artif Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000183747.05269.2d"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awp145"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1552-6569.2006.00025.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14581\/jer.13009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2011.5872541"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3340\/jkns.2019.0025"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.yebeh.2015.04.055","article-title":"Cortical feature analysis and machine learning improves detection of MRI-negative focal cortical dysplasia","volume":"48","author":"ahmed","year":"2015","journal-title":"Epilepsy Behav"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/j.compmedimag.2009.05.004","article-title":"Focal cortical dysplasia (fcd) lesion analysis with complex diffusion approach","volume":"33","author":"rajan","year":"2009","journal-title":"Computerized Med Imag Graph"},{"key":"ref21","first-page":"90","article-title":"Computer aided diagnosis of intractable epilepsy with MRI imaging based on textural information","author":"el azami","year":"0","journal-title":"Proc Int Workshop Pattern Recognit NeuroImag"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.18"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2008.4541326"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref25","article-title":"Pyramid attention network for semantic segmentation","author":"li","year":"0","journal-title":"BMVC"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9428033\/09198063.pdf?arnumber=9198063","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:25Z","timestamp":1652194405000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9198063\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":39,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3024188","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}