{"id":"https://openalex.org/W4389665200","doi":"https://doi.org/10.1109/tmi.2023.3342156","title":"IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI","display_name":"IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389665200","doi":"https://doi.org/10.1109/tmi.2023.3342156","pmid":"https://pubmed.ncbi.nlm.nih.gov/38090839"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3342156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3342156","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5048224914","display_name":"Ruimin Feng","orcid":"https://orcid.org/0000-0002-4428-2316"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruimin Feng","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048171551","display_name":"Qing Wu","orcid":"https://orcid.org/0000-0001-9320-0332"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038012193","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-7734-902X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025632564","display_name":"Huajun She","orcid":"https://orcid.org/0000-0003-0446-418X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun She","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719415","display_name":"Chunlei Liu","orcid":"https://orcid.org/0000-0001-8816-4832"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunlei Liu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654429","display_name":"Yuyao Zhang","orcid":"https://orcid.org/0000-0001-6706-4867"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Zhang","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058095576","display_name":"Hongjiang Wei","orcid":"https://orcid.org/0000-0002-9060-4152"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjiang Wei","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048224914"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":7.0459,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.97658628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"43","issue":"4","first_page":"1539","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":1.0,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.7714921236038208},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6517231464385986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633417546749115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6325355768203735},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4773716628551483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4661814868450165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4661387801170349},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44490694999694824},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4446481466293335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4036802649497986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38646402955055237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.356815367937088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25756555795669556}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.7714921236038208},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6517231464385986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633417546749115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6325355768203735},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4773716628551483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4661814868450165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4661387801170349},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44490694999694824},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4446481466293335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4036802649497986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38646402955055237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.356815367937088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25756555795669556},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3342156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3342156","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38090839","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38090839","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1497813102","display_name":null,"funder_award_id":"91949120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2898984089","display_name":null,"funder_award_id":"21DZ1100301","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G3703025150","display_name":null,"funder_award_id":"62071299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4499435770","display_name":null,"funder_award_id":"23TS1400200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G4985279602","display_name":null,"funder_award_id":"21DZ1100300","funder_id":"https://openalex.org/F4320313610","funder_display_name":"Shanghai Science and Technology Development Foundation"},{"id":"https://openalex.org/G7268959699","display_name":null,"funder_award_id":"20220103","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G7357991881","display_name":null,"funder_award_id":"61901256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476599997","display_name":null,"funder_award_id":"YG2023LC02","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"}],"funders":[{"id":"https://openalex.org/F4320313610","display_name":"Shanghai Science and Technology Development Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1497904071","https://openalex.org/W1522301498","https://openalex.org/W1530154714","https://openalex.org/W1758598986","https://openalex.org/W1878263927","https://openalex.org/W1913250981","https://openalex.org/W1956034203","https://openalex.org/W1976355201","https://openalex.org/W1979954835","https://openalex.org/W1992989309","https://openalex.org/W2047544187","https://openalex.org/W2075358160","https://openalex.org/W2082580315","https://openalex.org/W2101675075","https://openalex.org/W2111388536","https://openalex.org/W2117649283","https://openalex.org/W2137983211","https://openalex.org/W2141097060","https://openalex.org/W2145020729","https://openalex.org/W2146598152","https://openalex.org/W2151354228","https://openalex.org/W2156739854","https://openalex.org/W2159122269","https://openalex.org/W2169670552","https://openalex.org/W2604388535","https://openalex.org/W2611467245","https://openalex.org/W2757509933","https://openalex.org/W2773850766","https://openalex.org/W2889995282","https://openalex.org/W2900756484","https://openalex.org/W2911290743","https://openalex.org/W2956625312","https://openalex.org/W2962903101","https://openalex.org/W2997591727","https://openalex.org/W3003650457","https://openalex.org/W3012906128","https://openalex.org/W3015567121","https://openalex.org/W3031962481","https://openalex.org/W3039236647","https://openalex.org/W3047706622","https://openalex.org/W3092530614","https://openalex.org/W3095682719","https://openalex.org/W3100730608","https://openalex.org/W3105636987","https://openalex.org/W3171145773","https://openalex.org/W3176327543","https://openalex.org/W3178317539","https://openalex.org/W3183777577","https://openalex.org/W3186314696","https://openalex.org/W3195875706","https://openalex.org/W3201909904","https://openalex.org/W3202215735","https://openalex.org/W3203281102","https://openalex.org/W3207327705","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4224928692","https://openalex.org/W4233764193","https://openalex.org/W4235806146","https://openalex.org/W4249760698","https://openalex.org/W4286759403","https://openalex.org/W4296209293","https://openalex.org/W4304890514","https://openalex.org/W4307312619","https://openalex.org/W4313316261","https://openalex.org/W4386590685","https://openalex.org/W6631190155","https://openalex.org/W6755308174","https://openalex.org/W6755625687","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6846026153"],"related_works":["https://openalex.org/W2061033783","https://openalex.org/W1994141795","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"],"abstract_inverted_index":{"Parallel":[0],"imaging":[1,11],"is":[2,185],"a":[3,47,52,67,93],"commonly":[4],"used":[5],"technique":[6],"to":[7,32,49,70,82,221],"accelerate":[8],"magnetic":[9],"resonance":[10],"(MRI)":[12],"data":[13,81,151,244],"acquisition.":[14],"Mathematically,":[15],"parallel":[16,101,247],"MRI":[17,35,102,107,165],"reconstruction":[18,43,177],"can":[19],"be":[20],"formulated":[21],"as":[22,66,114],"an":[23],"inverse":[24],"problem":[25],"relating":[26],"the":[27,33,38,72,76,84,105,130,135,156,164,201,234,238,243],"sparsely":[28,142],"sampled":[29,148],"k-space":[30,58,144,175],"measurements":[31],"desired":[34,85],"image.":[36],"Despite":[37],"success":[39],"of":[40,78,117,163,246],"many":[41],"existing":[42],"algorithms,":[44],"it":[45],"remains":[46],"challenge":[48],"reliably":[50],"reconstruct":[51],"high-quality":[53,228],"image":[54,108,166,173],"from":[55,141,155],"highly":[56],"reduced":[57],"measurements.":[59],"Recently,":[60],"implicit":[61,95],"neural":[62,96,122],"representation":[63,159],"has":[64],"emerged":[65],"powerful":[68,157],"paradigm":[69],"exploit":[71],"internal":[73],"information":[74],"and":[75,109,124,132,160,167,191,206,223,230],"physics":[77],"partially":[79],"acquired":[80,143,203],"generate":[83],"object.":[86],"In":[87],"this":[88],"study,":[89],"we":[90],"introduced":[91],"IMJENSE,":[92],"scan-specific":[94],"representation-based":[97],"method":[98,236],"for":[99,152,240],"improving":[100],"reconstruction.":[103],"Specifically,":[104],"underlying":[106],"coil":[110,168],"sensitivities":[111],"were":[112,137],"modeled":[113],"continuous":[115,158],"functions":[116],"spatial":[118],"coordinates,":[119],"parameterized":[120],"by":[121],"networks":[123,131],"polynomials,":[125],"respectively.":[126],"The":[127,227],"weights":[128],"in":[129,134,216],"coefficients":[133],"polynomials":[136],"simultaneously":[138],"learned":[139],"directly":[140],"measurements,":[145],"without":[146],"fully":[147],"ground":[149],"truth":[150],"training.":[153],"Benefiting":[154],"joint":[161],"estimation":[162],"sensitivities,":[169],"IMJENSE":[170,184,198],"outperforms":[171],"conventional":[172],"or":[174,212],"domain":[176],"algorithms.":[178],"With":[179],"extremely":[180],"limited":[181],"calibration":[182,214],"data,":[183],"more":[186],"stable":[187],"than":[188],"supervised":[189],"calibrationless":[190],"calibration-based":[192],"deep-learning":[193],"methods.":[194],"Results":[195],"show":[196],"that":[197],"robustly":[199],"reconstructs":[200],"images":[202],"at":[204],"5\u00d7":[205],"6\u00d7":[207],"accelerations":[208],"with":[209],"only":[210],"4":[211],"8":[213],"lines":[215],"2D":[217],"Cartesian":[218],"acquisitions,":[219],"corresponding":[220],"22.0%":[222],"19.5%":[224],"undersampling":[225],"rates.":[226],"results":[229],"scanning":[231],"specificity":[232],"make":[233],"proposed":[235],"hold":[237],"potential":[239],"further":[241],"accelerating":[242],"acquisition":[245],"MRI.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}