{"id":"https://openalex.org/W7161761299","doi":"https://doi.org/10.1109/isbi61048.2026.11515945","title":"AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution","display_name":"AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161761299","doi":"https://doi.org/10.1109/isbi61048.2026.11515945"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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/A5007540599","display_name":"Kaifeng Pang","orcid":"https://orcid.org/0009-0001-7613-6559"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaifeng Pang","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657235","display_name":"Qi Miao","orcid":"https://orcid.org/0000-0003-3370-9692"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Miao","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025247162","display_name":"Alex Ling Yu Hung","orcid":"https://orcid.org/0000-0002-2664-7430"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Ling Yu Hung","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136536493","display_name":"Changsuk Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changsuk Oh","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012251323","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0002-5159-2312"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116156553","display_name":"Qiudi He","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiudi He","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057649577","display_name":"M Nickel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcel Dominik Nickel","raw_affiliation_strings":["Siemens Healthineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthineers","institution_ids":["https://openalex.org/I4210151799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136584965","display_name":"Fei Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Han","raw_affiliation_strings":["Siemens Healthineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthineers","institution_ids":["https://openalex.org/I4210151799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059053660","display_name":"Kyunghyun Sung","orcid":"https://orcid.org/0000-0003-4175-5322"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyunghyun Sung","raw_affiliation_strings":["UCLA,Department of Radiological Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA,Department of Radiological Sciences","institution_ids":["https://openalex.org/I2799798094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5007540599"],"corresponding_institution_ids":["https://openalex.org/I2799798094"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92980685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.3637000024318695,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.3637000024318695,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.23729999363422394,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.06440000236034393,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.4945000112056732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3874000012874603},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3208000063896179},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2484000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5267000198364258},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4781999886035919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35910001397132874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2484000027179718},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.24400000274181366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6400111080","display_name":null,"funder_award_id":"R01-CA248506,R01-CA272702","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320316012","display_name":"Siemens Medical Solutions USA","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2088909704","https://openalex.org/W2170608748","https://openalex.org/W2962785568","https://openalex.org/W2963470893","https://openalex.org/W3017136408","https://openalex.org/W3101204238","https://openalex.org/W3155072588","https://openalex.org/W4247843432","https://openalex.org/W4386065495","https://openalex.org/W4388100458","https://openalex.org/W4391109864","https://openalex.org/W4403511234","https://openalex.org/W4404737986","https://openalex.org/W4410295084"],"related_works":[],"abstract_inverted_index":{"High-resolution":[0],"volumetric":[1],"magnetic":[2],"resonance":[3],"imaging":[4],"(MRI)":[5],"is":[6,127],"desirable":[7],"for":[8,22,51,123],"accurate":[9],"diagnosis,":[10],"yet":[11],"clinical":[12,124],"scans":[13],"are":[14],"typically":[15],"acquired":[16],"as":[17],"stacks":[18],"of":[19,30,60,110],"2D":[20],"slices":[21],"reduced":[23],"scan":[24],"time,":[25],"resulting":[26],"in":[27],"a":[28,77,84],"loss":[29],"fine":[31],"anatomical":[32,74],"detail":[33],"along":[34,82],"the":[35],"through-plane":[36,53],"direction.":[37],"To":[38],"address":[39],"this":[40],"limitation,":[41],"we":[42],"propose":[43],"AICM,":[44],"an":[45],"anatomical-prior":[46],"integrated":[47],"conditional":[48],"consistency":[49],"model":[50,80],"self-supervised":[52,86],"super-resolution":[54,92],"MRI.":[55],"AICM":[56,88,100],"enables":[57],"single-step":[58],"generation":[59],"high-resolution":[61],"(i.e.,":[62,68],"thin)":[63],"slices,":[64],"conditioned":[65],"on":[66],"low-resolution":[67],"thick)":[69],"slice":[70,91],"inputs.":[71],"By":[72],"integrating":[73],"priors":[75],"from":[76],"medical":[78],"foundation":[79],"(MedSAM)":[81],"with":[83],"physics-inspired":[85],"framework,":[87],"achieves":[89,101],"high-fidelity":[90],"without":[93],"paired":[94],"supervision.":[95],"Extensive":[96],"experiments":[97],"demonstrate":[98],"that":[99,109],"image":[102],"quality":[103],"comparable":[104],"to":[105,108],"or":[106],"superior":[107],"state-of-the-art":[111],"generative":[112],"model-based":[113],"methods,":[114],"while":[115],"providing":[116],"substantially":[117],"faster":[118],"inference,":[119],"indicating":[120],"strong":[121],"potential":[122],"deployment.":[125],"Code":[126],"available":[128],"at:":[129],"https://github.com/Calvin-Pang/AICM.":[130]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
