{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T06:57:29Z","timestamp":1730271449911,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"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":[],"published-print":{"date-parts":[[2024,5,27]]},"DOI":"10.1109\/isbi56570.2024.10635448","type":"proceedings-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T17:49:54Z","timestamp":1724348994000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation"],"prefix":"10.1109","author":[{"given":"Christian","family":"Huemmer","sequence":"first","affiliation":[{"name":"Siemens Healthineers AG,X-ray Products,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramyar","family":"Biniazan","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG,X-ray Products,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manasi","family":"Datar","sequence":"additional","affiliation":[{"name":"Siemens Healthineers India LLP,Digital Technology &amp; Innovation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Kraus","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG,Digital Technology &amp; Innovation,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Fieselmann","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG,X-ray Products,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Kappler","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG,X-ray Products,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21332"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13451"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/43\/2\/011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF02344632"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-015-9813-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09721-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.06.007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3036662"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIP49896.2020.9339411"},{"key":"ref10","first-page":"820","article-title":"Semi-supervised medical image segmentation via cross teaching between cnn and transformer","volume-title":"Proceedings of MIDL","author":"Luo"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"journal-title":"Distilling the knowledge in a neural network","year":"2015","author":"Hinton","key":"ref12"},{"key":"ref13","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proceedings of NIPS","volume":"30","author":"Tarvainen"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015628"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_51"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-23911-3_10"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1987.1165259"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3055564"},{"key":"ref19","article-title":"Pytorch: An imperative style, high performance deep learning library","volume-title":"Proceedings of NIPS","volume":"32","author":"Paszke"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"}],"event":{"name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2024,5,27]]},"location":"Athens, Greece","end":{"date-parts":[[2024,5,30]]}},"container-title":["2024 IEEE International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10635099\/10635102\/10635448.pdf?arnumber=10635448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T11:48:19Z","timestamp":1725450499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10635448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/isbi56570.2024.10635448","relation":{},"subject":[],"published":{"date-parts":[[2024,5,27]]}}}