{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T10:41:57Z","timestamp":1778668917399,"version":"3.51.4"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9413341","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"2874-2881","source":"Crossref","is-referenced-by-count":8,"title":["MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM)"],"prefix":"10.1109","author":[{"given":"O. H.","family":"Nagoor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Whittle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Mora","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. W.","family":"Jones","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"The cancer imaging archive","author":"cardenas","year":"2019","journal-title":"Data from AAPM RT-MAC Grand Challenge"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref33","first-page":"2912","article-title":"Parallel multiscale autoregressive density estimation","author":"reed","year":"0","journal-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70"},{"key":"ref32","first-page":"1747","article-title":"Pixel recurrent neural networks","author":"van den oord","year":"2016","journal-title":"ICML 2016"},{"key":"ref31","article-title":"Pixclcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications","author":"salimans","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref30","first-page":"4790","article-title":"Conditional image generation with pixelcnn decoders","author":"van den oord","year":"2016","journal-title":"NIPS"},{"key":"ref37","first-page":"23","article-title":"A deep learning approach to no-reference image quality assessment for monte carlo rendered images","author":"whittle","year":"2018","journal-title":"CGVC 2018"},{"key":"ref36","article-title":"Practical lossless compression with latent variables using bits back coding","author":"townsend","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref35","first-page":"3408","article-title":"Bit-swap: Recursive bits-back coding for lossless compression with hierarchical latent variables","author":"kingma","year":"2019","journal-title":"ICML 2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2019.00087"},{"key":"ref10","first-page":"4171","article-title":"BERT: Pretraining of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"NAACL-HLT"},{"key":"ref40","year":"0","journal-title":"Dcmtk is a collection of libraries which includes dcmcjpls tool for encoding dicom file to jpeg-ls transfer syntax"},{"key":"ref11","author":"radford","year":"2019","journal-title":"Language Models are Unsupervised Multitask Learners"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/83.855427"},{"key":"ref13","first-page":"1890","article-title":"Calic-a context based adaptive lossless image codec","volume":"4","author":"wu","year":"0","journal-title":"1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2000.900912"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/30.920468"},{"key":"ref16","volume":"642","author":"taubman","year":"2012","journal-title":"JPEG2000 Image Compression Fun-damentals Standards and Practice Image Compression Fundamentals Standards and Practice"},{"key":"ref17","first-page":"4","article-title":"Jpeg 2000. part 10. volumetric data encoding","author":"schelkens","year":"0","journal-title":"2006 IEEE International Symposium on Circuits and Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/83.846242"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2003.822312"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.577"},{"key":"ref4","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref27","article-title":"Variable rate image compression with recurrent neural networks","volume":"abs 1511 6085","author":"toderici","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.02.094"},{"key":"ref6","article-title":"Recurrent neural network based language model","author":"mikolov","year":"0","journal-title":"Eleventh Annual Conference of the International Speech Communication Association"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834656"},{"key":"ref5","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)"},{"key":"ref8","volume":"absi1412 3555","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref2","first-page":"211","article-title":"An overview of digital compression of medical images: Can we use lossy image compression in radiology?","volume":"57","author":"koff","year":"2006","journal-title":"Canadian Association of Radiologists Journal"},{"key":"ref9","first-page":"4052","article-title":"Image transformer","author":"parmar","year":"2018","journal-title":"ICMLC 2018"},{"key":"ref1","article-title":"Diagnostic imaging dataset statistical release","author":"dixon","year":"2018","journal-title":"NHS England UK Tech Rep"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2714640"},{"key":"ref22","year":"0","journal-title":"Hevc format range extension (rext)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2478707"},{"key":"ref24","article-title":"Lossy image compression with compressive autoencoders","volume":"abs 1703 395","author":"theis","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref41","year":"0","journal-title":"OpenJPEG An open-source JPEG 2000 codec written in C"},{"key":"ref23","author":"hu","year":"2020","journal-title":"Learning end-to-end lossy image compression A benchmark"},{"key":"ref44","year":"0","journal-title":"Byron knoll lstm-compress data compression using lstm"},{"key":"ref26","article-title":"Variational autoencoder for low bit-rate image compression","author":"zhou","year":"0","journal-title":"CVPR Workshops"},{"key":"ref43","year":"0","journal-title":"7-zip is a file archiver with a high compression ratio"},{"key":"ref25","article-title":"Variational image compression with a scale hyperprior","volume":"abs 1802 1436","author":"ball\u00ea","year":"0","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","location":"Milan, Italy","start":{"date-parts":[[2021,1,10]]},"end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09413341.pdf?arnumber=9413341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:41Z","timestamp":1652197241000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413341\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9413341","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}