{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:27:27Z","timestamp":1775737647980,"version":"3.50.1"},"reference-count":16,"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"}],"funder":[{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,27]]},"DOI":"10.1109\/isbi56570.2024.10635459","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":4,"title":["Sliding Window Fastedit: A Framework for Lesion Annotation in Whole-Body Pet Images"],"prefix":"10.1109","author":[{"given":"Matthias","family":"Hadlich","sequence":"first","affiliation":[{"name":"Karlsruhe Institute of Technology,Institute for Anthropomatics &amp; Robotics (IAR),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zdravko","family":"Marinov","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology,Institute for Anthropomatics &amp; Robotics (IAR),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moon","family":"Kim","sequence":"additional","affiliation":[{"name":"University Hospital Essen,Institute for AI in Medicine (IKIM),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrico","family":"Nasca","sequence":"additional","affiliation":[{"name":"University Hospital Essen,Institute for AI in Medicine (IKIM),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Kleesiek","sequence":"additional","affiliation":[{"name":"University Hospital Essen,Institute for AI in Medicine (IKIM),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rainer","family":"Stiefelhagen","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology,Institute for Anthropomatics &amp; Robotics (IAR),Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref3","author":"Heiliger","year":"2022","journal-title":"Autopet challenge: combining nn-unet with swin unetr augmented by maximum intensity projection classifier"},{"key":"ref4","author":"Bendazzoli","year":"2022","journal-title":"Prior-net: lesion segmentation in pet-ct including prior tumor appearance information"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00242"},{"key":"ref6","author":"Gatidis","year":"2023","journal-title":"The autopet challenge: Towards fully automated lesion segmentation in oncologic pet\/ct imaging"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43898-1_61"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17027-0_2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI53787.2023.10230334"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2840695"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103207"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.35940\/ijrte.b3825.078219"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101998"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_45"},{"key":"ref15","author":"Cardoso","year":"2022","journal-title":"Monai: An open-source framework for deep learning in healthcare"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102336"}],"event":{"name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","location":"Athens, Greece","start":{"date-parts":[[2024,5,27]]},"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\/10635459.pdf?arnumber=10635459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T05:17:20Z","timestamp":1725340640000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10635459\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/isbi56570.2024.10635459","relation":{},"subject":[],"published":{"date-parts":[[2024,5,27]]}}}