{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:52:54Z","timestamp":1756000374001,"version":"3.37.3"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3514215","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T19:02:37Z","timestamp":1733770957000},"page":"186520-186534","source":"Crossref","is-referenced-by-count":1,"title":["HENCE: Hardware End-to-End Neural Conditional Entropy Encoder for Lossless 3D Medical Image Compression"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3160-1118","authenticated-orcid":false,"given":"Jietao","family":"Chen","sequence":"first","affiliation":[{"name":"College of Biomedical Engineering &#x0026; Instrument Science, Zhejiang University, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2782-9217","authenticated-orcid":false,"given":"Qianhao","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Biomedical Engineering &#x0026; Instrument Science, Zhejiang University, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3146-3908","authenticated-orcid":false,"given":"Huan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Weijie","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Biomedical Engineering &#x0026; Instrument Science, Zhejiang University, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5768-0586","authenticated-orcid":false,"given":"Wei","family":"Luo","sequence":"additional","affiliation":[{"name":"College of Biomedical Engineering &#x0026; Instrument Science, Zhejiang University, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9740-2537","authenticated-orcid":false,"given":"Feng","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Biomedical Engineering &#x0026; Instrument Science, Zhejiang University, Zhejiang, China"}]}],"member":"263","reference":[{"volume-title":"PNG: the Definitive Guide","year":"1999","author":"Roelofs","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.800725"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2006.1693474"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532320"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.2529237"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.815165"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"volume-title":"FFV1 Video Codec Specification","year":"2013","author":"Niedermayer","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101953"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3140608"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3033456"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00372"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP49819.2020.9301767"},{"key":"ref14","article-title":"Variational image compression with a scale hyperprior","author":"Ball\u00e9","year":"2018","journal-title":"arXiv:1802.01436"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3273578"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2957990"},{"key":"ref18","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Minnen"},{"key":"ref19","first-page":"1747","article-title":"Pixel recurrent neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Van Den Oord"},{"key":"ref20","article-title":"PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications","author":"Salimans","year":"2017","journal-title":"arXiv:1701.05517"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3212780"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01088"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3303228"},{"key":"ref24","article-title":"Streaming lossless volumetric compression of medical images using gated recurrent convolutional neural network","author":"Chen","year":"2023","journal-title":"arXiv:2311.16200"},{"key":"ref25","article-title":"Practical lossless compression with latent variables using bits back coding","author":"Townsend","year":"2019","journal-title":"arXiv:1901.04866"},{"key":"ref26","first-page":"3408","article-title":"Bit-swap: Recursive bits-back coding for lossless compression with hierarchical latent variables","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kingma"},{"key":"ref27","article-title":"HiLLoC: Lossless image compression with hierarchical latent variable models","author":"Townsend","year":"2019","journal-title":"arXiv:1912.09953"},{"key":"ref28","first-page":"12134","article-title":"Integer discrete flows and lossless compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Hoogeboom"},{"key":"ref29","first-page":"5822","article-title":"IFlow: Numerically invertible flows for efficient lossless compression via a uniform coder","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref30","first-page":"5006","article-title":"Distribution augmentation for generative modeling","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jun"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/40.2_and_3.157"},{"key":"ref32","article-title":"IDF++: Analyzing and improving integer discrete flows for lossless compression","author":"van den Berg","year":"2020","journal-title":"arXiv:2006.12459"},{"key":"ref33","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3164059"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3080241"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3131581"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/5.286189"},{"key":"ref38","article-title":"Asymmetric numeral systems: Entropy coding combining speed of Huffman coding with compression rate of arithmetic coding","author":"Duda","year":"2013","journal-title":"arXiv:1311.2540"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICFPT52863.2021.9609865"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2023.3241487"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2022.3146573"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2020.2999458"},{"key":"ref43","first-page":"3123","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Courbariaux"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3196055"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3180553"},{"article-title":"Large scale machine learning","year":"2004","author":"Collobert","key":"ref46"},{"volume-title":"Vitis High-Level Synthesis User Guide","year":"2022","key":"ref47"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002699"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.54294\/g80ruo"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10786994.pdf?arnumber=10786994","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T19:49:08Z","timestamp":1734551348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10786994\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3514215","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}