{"id":"https://openalex.org/W4405303644","doi":"https://doi.org/10.1109/tip.2024.3513156","title":"Learning Lossless Compression for High Bit-Depth Volumetric Medical Image","display_name":"Learning Lossless Compression for High Bit-Depth Volumetric Medical Image","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405303644","doi":"https://doi.org/10.1109/tip.2024.3513156","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030527"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3513156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3513156","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100766811","display_name":"Kai Wang","orcid":"https://orcid.org/0009-0007-3132-0495"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0007-3132-0495","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024093994","display_name":"Yuanchao Bai","orcid":"https://orcid.org/0000-0003-3449-6537"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Bai","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3449-6537","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007227942","display_name":"Daxin Li","orcid":"https://orcid.org/0009-0001-6886-3342"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Li","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0001-6886-3342","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103248507","display_name":"Deming Zhai","orcid":"https://orcid.org/0000-0003-0874-2175"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deming Zhai","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-0874-2175","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5694-505X","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8857-1785","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100766811"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66276855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"113","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6997328996658325},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6526538133621216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013896465301514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5883162021636963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5851807594299316},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.55784672498703},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5394893288612366},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4790700376033783},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.47423192858695984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3985728621482849}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6997328996658325},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6526538133621216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013896465301514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5883162021636963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5851807594299316},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.55784672498703},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5394893288612366},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4790700376033783},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.47423192858695984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3985728621482849}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3513156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3513156","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40030527","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030527","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2268537015","display_name":null,"funder_award_id":"92270116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5162550898","display_name":null,"funder_award_id":"2022M710958","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5778169039","display_name":null,"funder_award_id":"U23B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6167212925","display_name":null,"funder_award_id":"62071155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7505745687","display_name":null,"funder_award_id":"2023.XY-39","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8725055283","display_name":null,"funder_award_id":"62301188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1597794713","https://openalex.org/W1933799648","https://openalex.org/W1995875735","https://openalex.org/W2032182503","https://openalex.org/W2046289434","https://openalex.org/W2061567202","https://openalex.org/W2096445898","https://openalex.org/W2099563019","https://openalex.org/W2099665608","https://openalex.org/W2129652681","https://openalex.org/W2146395539","https://openalex.org/W2153638435","https://openalex.org/W2194775991","https://openalex.org/W2518435514","https://openalex.org/W2581059048","https://openalex.org/W2622458132","https://openalex.org/W2902874468","https://openalex.org/W2949808130","https://openalex.org/W2964122153","https://openalex.org/W2965631471","https://openalex.org/W2971904947","https://openalex.org/W2980724434","https://openalex.org/W3002569343","https://openalex.org/W3014200484","https://openalex.org/W3026637813","https://openalex.org/W3090653177","https://openalex.org/W3091266734","https://openalex.org/W3094502228","https://openalex.org/W3113205525","https://openalex.org/W3138152222","https://openalex.org/W3139049060","https://openalex.org/W3175457126","https://openalex.org/W3185645081","https://openalex.org/W3202918664","https://openalex.org/W4200532613","https://openalex.org/W4206253130","https://openalex.org/W4210274484","https://openalex.org/W4225872410","https://openalex.org/W4226466578","https://openalex.org/W4253902764","https://openalex.org/W4312348190","https://openalex.org/W4386160493","https://openalex.org/W4390480875","https://openalex.org/W4393170804","https://openalex.org/W4396505863","https://openalex.org/W6631190155","https://openalex.org/W6640455647","https://openalex.org/W6732492507","https://openalex.org/W6756754865","https://openalex.org/W6763133020","https://openalex.org/W6777714645","https://openalex.org/W6801074998","https://openalex.org/W6803277560"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W2751842002","https://openalex.org/W4210455546","https://openalex.org/W2183844610"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,103,109,214],"learning-based":[3,142],"methods":[4,15],"have":[5],"markedly":[6],"enhanced":[7],"the":[8,43,66,75,81,90,95,119,123,175,179,188,215],"capabilities":[9],"of":[10,94,178,217],"image":[11,220],"compression.":[12,60,221],"However,":[13],"these":[14,38,170],"struggle":[16],"with":[17,122,146],"high":[18,56,67],"bit-depth":[19,57,68,73],"volumetric":[20,96,218],"medical":[21,58,97,219],"images,":[22],"facing":[23],"issues":[24],"such":[25],"as":[26],"degraded":[27],"performance,":[28],"increased":[29],"memory":[30],"demand,":[31],"and":[32,80,156,211],"reduced":[33],"processing":[34],"speed.":[35],"To":[36,132],"address":[37],"challenges,":[39],"this":[40,134],"paper":[41],"presents":[42],"Bit-Division":[44],"based":[45],"Lossless":[46],"Volumetric":[47],"Image":[48],"Compression":[49],"(BD-LVIC)":[50],"framework,":[51],"which":[52,127,152],"is":[53],"tailored":[54],"for":[55],"volume":[59,69],"The":[61,86],"BD-LVIC":[62,189],"framework":[63,190],"skillfully":[64],"divides":[65],"into":[70],"two":[71],"lower":[72],"segments:":[74],"Most":[76],"Significant":[77,83],"Bit-Volume":[78,84],"(MSBV)":[79],"Least":[82],"(LSBV).":[85],"MSBV":[87],"concentrates":[88],"on":[89],"most":[91],"significant":[92,125,181,209],"bits":[93],"image,":[98],"capturing":[99],"vital":[100],"structural":[101],"details":[102],"a":[104,147,164,203],"compact":[105],"manner.":[106],"This":[107],"reduction":[108],"complexity":[110],"greatly":[111],"improves":[112],"compression":[113,143],"efficiency":[114],"using":[115],"traditional":[116],"codecs.":[117],"Conversely,":[118],"LSBV":[120],"deals":[121],"least":[124,180],"bits,":[126],"encapsulate":[128],"intricate":[129],"texture":[130],"details.":[131],"compress":[133],"detailed":[135],"information":[136],"effectively,":[137],"we":[138],"introduce":[139],"an":[140],"effective":[141],"model":[144],"equipped":[145],"Transformer-Based":[148],"Feature":[149],"Alignment":[150],"Module,":[151],"exploits":[153],"both":[154],"intra-slice":[155],"inter-slice":[157],"redundancies":[158],"to":[159,172],"accurately":[160],"align":[161],"features.":[162],"Subsequently,":[163],"Parallel":[165],"Autoregressive":[166],"Coding":[167],"Module":[168],"merges":[169],"features":[171],"precisely":[173],"estimate":[174],"probability":[176],"distribution":[177],"bit-planes.":[182],"Our":[183],"extensive":[184],"testing":[185],"demonstrates":[186],"that":[187],"not":[191],"only":[192],"sets":[193],"new":[194],"performance":[195],"benchmarks":[196],"across":[197],"various":[198],"datasets":[199],"but":[200],"also":[201],"maintains":[202],"competitive":[204],"coding":[205],"speed,":[206],"highlighting":[207],"its":[208],"potential":[210],"practical":[212],"utility":[213],"realm":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}