{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T11:23:41Z","timestamp":1774351421406,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation (SNSF)","doi-asserted-by":"publisher","award":["205320_179069"],"award-info":[{"award-number":["205320_179069"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003475","name":"Hasler Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003475","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,11]]},"DOI":"10.1109\/embc48229.2022.9871907","type":"proceedings-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:02:05Z","timestamp":1662667325000},"page":"4731-4735","source":"Crossref","is-referenced-by-count":14,"title":["Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET\/CT"],"prefix":"10.1109","author":[{"given":"Vincent","family":"Andrearczyk","sequence":"first","affiliation":[{"name":"Institute of Information Systems, University of Applied Sciences Western Switzerland (HES-SO),Sierre,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentin","family":"Oreiller","sequence":"additional","affiliation":[{"name":"Institute of Information Systems, University of Applied Sciences Western Switzerland (HES-SO),Sierre,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Jreige","sequence":"additional","affiliation":[{"name":"Centre Hos-pitalier Universitaire Vaudois (CHUV),Department of Nuclear Medicine and Molecular Imaging,Lausanne,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joel","family":"Castelli","sequence":"additional","affiliation":[{"name":"Cancer Institute,Department of Radiation Oncology,Rennes,France, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John O.","family":"Prior","sequence":"additional","affiliation":[{"name":"Centre Hos-pitalier Universitaire Vaudois (CHUV),Department of Nuclear Medicine and Molecular Imaging,Lausanne,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrien","family":"Depeursinge","sequence":"additional","affiliation":[{"name":"Institute of Information Systems, University of Applied Sciences Western Switzerland (HES-SO),Sierre,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2020.101851"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834667"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-10371-5"},{"key":"ref13","article-title":"Oropharynx detection in PET-CT for tumor segmentation","author":"andrearczyk","year":"2020","journal-title":"Irish Machine Vision and Image Processing Conf"},{"key":"ref14","first-page":"424","article-title":"3D U-Net: learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-67194-5_4","article-title":"Squeeze-and- excitation normalization for automated delineation of head and neck primary tumors in combined PET and CT images","author":"lantsen","year":"2021","journal-title":"Lecture Notes in Computer Science (LNCS) Challenges"},{"key":"ref16","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"26151e","DOI":"10.2196\/26151","article-title":"Clinically applicable segmentation of head and neck anatomy for radiotherapy: Deep learning algorithm development and validation study","volume":"23","author":"nikolov","year":"2021","journal-title":"Journal of Medical Internet Research"},{"key":"ref18","article-title":"Common limitations of performance metrics in biomedical image analysis","author":"reinke","year":"2021","journal-title":"Medical Imaging with Deep Learning (MIDL)"},{"key":"ref4","first-page":"1","article-title":"Overview of the HECKTOR challenge at MICCAI 2020: Automatic head and neck tumor segmentation in PET\/CT","author":"andrearczyk","year":"2020","journal-title":"3D Head and Neck Tumor Segmentation in PET\/CT Challenge"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102336"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89847-2_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-98253-9_1"},{"key":"ref8","article-title":"DeepMTS: Deep multi-task learning for survival prediction in patients with advanced nasopharyngeal carcinoma using pretreatment PeT\/CT","volume":"abs 2109 7711","author":"meng","year":"2021","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87602-9_14"},{"key":"ref2","article-title":"Deep learning for automatic tumour segmentation in PET\/CT images of patients with head and neck cancers","author":"moe","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref1","first-page":"33","article-title":"Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans","author":"andrearczyk","year":"2020","journal-title":"Medical Imaging with Deep Learning (MIDL)"},{"key":"ref9","first-page":"6672","article-title":"Segmentation of axillary and supraclavicular tumoral lymph nodes in PET\/CT: A hybrid CNN\/component-tree approach","author":"cabrera","year":"0","journal-title":"2020 25th International Conference on Pattern Recognition (ICPR)"}],"event":{"name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Glasgow, Scotland, United Kingdom","start":{"date-parts":[[2022,7,11]]},"end":{"date-parts":[[2022,7,15]]}},"container-title":["2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870821\/9870822\/09871907.pdf?arnumber=9871907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:01:21Z","timestamp":1664226081000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9871907\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/embc48229.2022.9871907","relation":{},"subject":[],"published":{"date-parts":[[2022,7,11]]}}}