{"id":"https://openalex.org/W3027952833","doi":"https://doi.org/10.1109/isbi45749.2020.9098484","title":"Autoregression and Structured Low-Rank Modeling of Sinograms","display_name":"Autoregression and Structured Low-Rank Modeling of Sinograms","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3027952833","doi":"https://doi.org/10.1109/isbi45749.2020.9098484","mag":"3027952833"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5046459903","display_name":"Rodrigo A. Lobos","orcid":"https://orcid.org/0000-0003-0425-8976"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rodrigo A. Lobos","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054387045","display_name":"Richard M. Leahy","orcid":"https://orcid.org/0000-0002-7278-5471"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard M. Leahy","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031370363","display_name":"Justin P. Haldar","orcid":"https://orcid.org/0000-0002-1838-0211"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin P. Haldar","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,90089","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046459903"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.1101,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48063592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996399998664856,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7372418642044067},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6870841979980469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601415038108826},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5462262034416199},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.5390915274620056},{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.5382267236709595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5187206864356995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49314039945602417},{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.4701887369155884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4475018084049225},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4379488527774811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3451830744743347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29581204056739807},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1198875904083252}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7372418642044067},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6870841979980469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601415038108826},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5462262034416199},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.5390915274620056},{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.5382267236709595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5187206864356995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49314039945602417},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.4701887369155884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4475018084049225},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4379488527774811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3451830744743347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29581204056739807},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1198875904083252},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1497904071","https://openalex.org/W2058583833","https://openalex.org/W2059596616","https://openalex.org/W2071847032","https://openalex.org/W2075416285","https://openalex.org/W2099810224","https://openalex.org/W2129517836","https://openalex.org/W2138548106","https://openalex.org/W2143531541","https://openalex.org/W2165142794","https://openalex.org/W2196426102","https://openalex.org/W2890631016","https://openalex.org/W2962903101","https://openalex.org/W2999220188","https://openalex.org/W4298264214"],"related_works":["https://openalex.org/W4386863313","https://openalex.org/W2949966822","https://openalex.org/W1986851914","https://openalex.org/W2583841453","https://openalex.org/W2229973481","https://openalex.org/W2009353134","https://openalex.org/W2086669233","https://openalex.org/W2766262910","https://openalex.org/W2201692517","https://openalex.org/W2045714585"],"abstract_inverted_index":{"The":[0],"Radon":[1],"transform":[2],"converts":[3],"an":[4],"image":[5],"into":[6],"a":[7,14,81,91],"sinogram,":[8],"and":[9,89],"is":[10,26],"often":[11],"used":[12,109],"as":[13,80,119],"model":[15],"of":[16,85],"data":[17,99],"acquisition":[18],"for":[19,116],"many":[20],"tomographic":[21],"imaging":[22],"modalities.":[23],"Although":[24],"it":[25],"well-known":[27],"that":[28,38,45,57,71,90],"sinograms":[29,58],"possess":[30],"some":[31],"redundancy,":[32],"we":[33,55,120],"observe":[34],"in":[35],"this":[36],"work":[37],"they":[39],"can":[40,46,76,107],"have":[41],"substantial":[42],"additional":[43],"redundancies":[44],"be":[47,77,101,108],"learned":[48],"directly":[49],"from":[50,73,97],"incomplete":[51],"data.":[52,126],"In":[53],"particular,":[54],"demonstrate":[56,121],"approximately":[59,102],"satisfy":[60],"multiple":[61],"data-dependent":[62],"shift-invariant":[63,82],"local":[64],"autoregression":[65],"relationships.":[66],"This":[67,104],"autoregressive":[68],"structure":[69],"implies":[70],"samples":[72],"the":[74],"sinogram":[75,87,98,113],"accurately":[78],"interpolated":[79],"linear":[83],"combination":[84],"neighboring":[86],"samples,":[88],"Toeplitz":[92],"or":[93,115],"Hankel":[94],"matrix":[95],"formed":[96],"should":[100],"low-rank.":[103],"multi-fold":[105],"redundancy":[106],"to":[110],"impute":[111],"missing":[112],"values":[114],"noise":[117],"reduction,":[118],"with":[122],"real":[123],"X-ray":[124],"CT":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}