{"id":"https://openalex.org/W4393380094","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476746","title":"On Reference-Based Image Quality Assessment in Medical Image Reconstruction: Potential Pitfalls and Possible Solutions","display_name":"On Reference-Based Image Quality Assessment in Medical Image Reconstruction: Potential Pitfalls and Possible Solutions","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393380094","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476746"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10476746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf59524.2023.10476746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017990840","display_name":"Chin\u2010Cheng Chan","orcid":"https://orcid.org/0000-0002-7220-4884"},"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":"Chin-Cheng Chan","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004919","display_name":"Jiayang Wang","orcid":"https://orcid.org/0000-0002-5551-8611"},"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":"Jiayang Wang","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075870808","display_name":"Tashfa Nadeem","orcid":null},"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":"Tashfa Nadeem","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","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,USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.2296,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61424678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9968000054359436,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9968000054359436,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.995199978351593,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7583227753639221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6928936839103699},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6301596164703369},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6024134159088135},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5055274963378906},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4855877757072449},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.481118381023407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46583953499794006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4297158718109131},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.4180464446544647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1540544331073761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1476285755634308}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7583227753639221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928936839103699},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6301596164703369},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6024134159088135},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5055274963378906},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4855877757072449},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.481118381023407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46583953499794006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4297158718109131},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.4180464446544647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1540544331073761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1476285755634308},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10476746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf59524.2023.10476746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2500851065","display_name":"Volumetric Real-Time MRI at 0.55 Tesla","funder_award_id":"1u01hl167613-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1521875821","https://openalex.org/W1973207880","https://openalex.org/W2024971034","https://openalex.org/W2111422394","https://openalex.org/W2121570028","https://openalex.org/W2133665775","https://openalex.org/W2171134880","https://openalex.org/W2296199152","https://openalex.org/W2806139198","https://openalex.org/W2911290743","https://openalex.org/W2999220188","https://openalex.org/W3000635074","https://openalex.org/W3092530614","https://openalex.org/W3157723514","https://openalex.org/W3165032792","https://openalex.org/W3188455524","https://openalex.org/W3205399766","https://openalex.org/W4312428138","https://openalex.org/W4393987794","https://openalex.org/W6871277045"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,51,73,118],"new":[3],"computational":[4],"image":[5,17,89,100,120],"reconstruction":[6,30,121],"methods":[7,92],"is":[8],"heavily":[9],"dependent":[10],"on":[11,78],"the":[12,23,85,107,115],"ability":[13],"to":[14,48,84,114,133],"perform":[15],"accurate":[16],"quality":[18,90],"assessment.":[19],"In":[20,67],"recent":[21,76],"years,":[22],"prevailing":[24,108],"paradigm":[25],"has":[26,63,131],"evolved":[27],"towards":[28],"assessing":[29],"performance":[31,109],"using":[32],"quantitative":[33],"error":[34,39],"metrics":[35],"(such":[36],"as":[37],"mean-squared":[38],"and":[40,102],"structural":[41],"similarity)":[42],"that":[43,87,128],"are":[44],"calculated":[45],"with":[46],"respect":[47],"a":[49],"database":[50],"gold-standard":[52],"images.":[53],"While":[54],"this":[55,68,79],"approach":[56,111],"does":[57],"provide":[58],"useful":[59],"insights,":[60],"it":[61],"also":[62,104,124],"some":[64,72],"major":[65],"limitations.":[66],"paper,":[69],"we":[70,103],"review":[71,125],"our":[74,129],"group's":[75],"work":[77],"topic.":[80],"We":[81,123],"bring":[82],"attention":[83],"fact":[86],"popular":[88],"assessment":[91,110],"can":[93,112],"be":[94],"disconnected":[95],"from":[96],"important":[97],"characteristics":[98],"like":[99],"resolution,":[101],"describe":[105],"how":[106],"lead":[113],"incorrect":[116],"ranking":[117],"different":[119],"methods.":[122],"potential":[126],"solutions":[127],"group":[130],"developed":[132],"address":[134],"these":[135],"problems.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}
