{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:28:55Z","timestamp":1772908135676,"version":"3.50.1"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"National Science and Technology Major Project from Minister of Science and Technology, China","award":["2018AAA0103100"],"award-info":[{"award-number":["2018AAA0103100"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92164110"],"award-info":[{"award-number":["92164110"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62334014"],"award-info":[{"award-number":["62334014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3406792","type":"journal-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T17:26:10Z","timestamp":1717003570000},"page":"1-15","source":"Crossref","is-referenced-by-count":7,"title":["Anomaly Detection for Medical Images Using Teacher\u2013Student Model With Skip Connections and Multiscale Anomaly Consistency"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9456-015X","authenticated-orcid":false,"given":"Mingxuan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6589-2092","authenticated-orcid":false,"given":"Yunrui","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Integrated Circuits, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8878-0235","authenticated-orcid":false,"given":"Jingqiao","family":"Lu","sequence":"additional","affiliation":[{"name":"XIN-Huangpu Joint Innovation Institute of Chinese Medicine, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0774-1410","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Integrated Circuits, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3232670"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3264047"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222528"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3093883"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_39"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851808"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3045295"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3118223"},{"key":"ref11","article-title":"Puzzle-AE: Novelty detection in images through solving puzzles","author":"Salehi","year":"2020","journal-title":"arXiv:2008.12959"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3107163"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3194920"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2022.3196133"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3280508"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3279422"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3139696"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3128961"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3125987"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3107586"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3276529"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3273681"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104939"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref25","first-page":"1","article-title":"Anomaly segmentation network using self-supervised learning","volume-title":"Proc. AAAI Workshop AI Design Manuf. (ADAM)","author":"Song"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2023.107086"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00424"},{"key":"ref29","article-title":"Student\u2013teacher feature pyramid matching for anomaly detection","author":"Wang","year":"2021","journal-title":"arXiv:2103.04257"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01466"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108846"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00951"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746715"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3205674"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00283"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68799-1_35"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3193699"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981509"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/UBMYK48245.2019.8965576"},{"issue":"2","key":"ref41","first-page":"8","article-title":"A hybrid approach to brain tumor detection from mri images using computer vision","volume":"8","author":"Rai","year":"2019","journal-title":"J. Innov. Comput. Sci. Eng."},{"key":"ref42","volume-title":"Covid-19 Detection","author":"Gaurav","year":"2023"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104863"},{"key":"ref44","author":"Uzair","year":"2023","journal-title":"Breast Cancer Patients Mris"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"ref46","author":"Wang","year":"2023","journal-title":"Cp-Child.zip. Figshare. Dataset"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103067"},{"key":"ref48","author":"Alyasriy","year":"2023","journal-title":"The IQ-Othnccd Lung Cancer Dataset"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.59275\/j.melba.2020-48g7"},{"key":"ref50","year":"2023","journal-title":"Malaria Cell Images Dataset"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS46773.2023.10181639"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref55","article-title":"Sub-image anomaly detection with deep pyramid correspondences","author":"Cohen","year":"2020","journal-title":"arXiv:2005.02357"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2022.3228007"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110982"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3348901"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CASE56687.2023.10260338"},{"key":"ref61","article-title":"Segment any anomaly without training via hybrid prompt regularization","author":"Cao","year":"2023","journal-title":"arXiv:2305.10724"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE56475.2022.10014229"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01400-4"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03905-6"},{"key":"ref68","first-page":"1","article-title":"Explainable deep one-class classification","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liznerski"},{"key":"ref69","article-title":"Semi-orthogonal embedding for efficient unsupervised anomaly segmentation","author":"Kim","year":"2021","journal-title":"arXiv:2105.14737"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108874"},{"key":"ref71","article-title":"Explainable deep few-shot anomaly detection with deviation networks","author":"Pang","year":"2021","journal-title":"arXiv:2108.00462"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00724"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102794"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-36295-9_5"},{"key":"ref75","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3086530"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117017"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116440"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3232654"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19915"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102846"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10540605.pdf?arnumber=10540605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T18:57:32Z","timestamp":1750100252000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10540605\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":81,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3406792","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}