{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:56:56Z","timestamp":1730311016161,"version":"3.28.0"},"reference-count":11,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2612526","type":"proceedings-article","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T22:02:01Z","timestamp":1647640921000},"page":"119","source":"Crossref","is-referenced-by-count":1,"title":["Improving deep learning based liver vessel segmentation using automated connectivity analysis"],"prefix":"10.1117","author":[{"given":"Felix","family":"Thielke","sequence":"first","affiliation":[]},{"given":"Farina","family":"Kock","sequence":"additional","affiliation":[]},{"given":"Annika","family":"H\u00e4nsch","sequence":"additional","affiliation":[]},{"given":"Joachim","family":"Georgii","sequence":"additional","affiliation":[]},{"given":"Nasreddin","family":"Abolmaali","sequence":"additional","affiliation":[]},{"given":"Itaru","family":"Endo","sequence":"additional","affiliation":[]},{"given":"Hans","family":"Meine","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Schenk","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.08.018"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.05.002"},{"article-title":"Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images","year":"2020","author":"Zhang","key":"B3"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa9262"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2"},{"issue":"97851P","key":"B6","article-title":"Segmentation of hepatic artery in multi-phase liver CT using directional dilation and connectivity analysis","volume":"9785","author":"Wang","year":"2016","journal-title":"Medical Imaging 2016: Computer-Aided Diagnosis"},{"key":"B7","unstructured":"IRCAD, \u201c3D-IRCADb 01.\u201d http:\/\/www.ircad.fr\/research\/3d-ircadb-01\/."},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8"},{"article-title":"Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy","year":"2018","author":"Nikolov","key":"B9"},{"article-title":"clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation","year":"2020","author":"Shit","key":"B10"},{"key":"B11","first-page":"188","article-title":"An Automated Liver Vasculature Segmentation from CT Scans for Hepatic Surgical Planning","volume":"13","author":"Alirr","year":"2021","journal-title":"International Journal of Integrated Engineering"}],"event":{"name":"Image Processing","start":{"date-parts":[[2022,2,20]]},"location":"San Diego, United States","end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Image Processing"],"original-title":[],"deposited":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T01:27:55Z","timestamp":1656811675000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12032\/2612526\/Improving-deep-learning-based-liver-vessel-segmentation-using-automated-connectivity\/10.1117\/12.2612526.full"}},"subtitle":[],"editor":[{"given":"Ivana","family":"I\u0161gum","sequence":"additional","affiliation":[]},{"given":"Olivier","family":"Colliot","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1117\/12.2612526","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}