{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T13:54:20Z","timestamp":1770731660962,"version":"3.49.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3548563","type":"journal-article","created":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T18:52:47Z","timestamp":1741200767000},"page":"44636-44649","source":"Crossref","is-referenced-by-count":2,"title":["Accelerating Euclidean Distance Transforms: A Fast and Flexible Approach With Multi-Vendor GPU, Multi-Threading, and Multi-Language Support"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9150-9827","authenticated-orcid":false,"given":"Dale","family":"Black","sequence":"first","affiliation":[{"name":"Department of Physics, University of California at Irvine, Irvine, CA, USA"}]},{"given":"Wenbo","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California at Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4585-9590","authenticated-orcid":false,"given":"Qiyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California at Irvine, Irvine, CA, USA"}]},{"given":"Sabee","family":"Molloi","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, University of California at Irvine, Irvine, CA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(86)80047-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1177156"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VIPROM.2002.1026672"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(88)90002-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1006\/jcph.2000.6636"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(80)90054-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/medicina59101735"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1111411.1111431"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-47025-x_36"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/HPCS.2017.123"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2019.10.006"},{"key":"ref12","first-page":"479","article-title":"How distance transform maps boost segmentation CNNs: An empirical study","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Ma"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.2582145"},{"key":"ref14","article-title":"Reducing the Hausdorff distance in medical image segmentation with convolutional neural networks","author":"Karimi","year":"2019","journal-title":"arXiv:1904.10030"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102035"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/141000671"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101851"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.04.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(94)90133-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4086\/toc.2012.v008a019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1006\/jpdc.2000.1684"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1730804.1730818"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-015-0022-4"},{"key":"ref25","first-page":"362","article-title":"A transformation for extracting new descriptions of shape","volume-title":"Models for the Perception of Speech and Visual Form","author":"Blum","year":"1967"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.212"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(94)00104-T"},{"key":"ref28","volume-title":"JuliaGPU\/KernelAbstractions.jl","author":"Churavy","year":"2024"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2023.116591"},{"key":"ref30","volume-title":"PythonCall.jl: Python and Julia in Harmony","author":"Rowley","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"ref32","first-page":"1725","article-title":"A brief introduction to OpenCV","volume-title":"Proc. 35th Int. Conv. MIPRO","author":"Culjak"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21105\/joss.04532"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30695-9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3163352"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10912438.pdf?arnumber=10912438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T17:41:19Z","timestamp":1742319679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10912438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3548563","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}