{"id":"https://openalex.org/W4401338027","doi":"https://doi.org/10.1109/tbme.2024.3438270","title":"Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator","display_name":"Deep Network Regularization for Phase-Based Magnetic Resonance Electrical Properties Tomography With Stein's Unbiased Risk Estimator","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4401338027","doi":"https://doi.org/10.1109/tbme.2024.3438270","pmid":"https://pubmed.ncbi.nlm.nih.gov/39102318"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2024.3438270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3438270","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","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/A5020923306","display_name":"Chuanjiang Cui","orcid":"https://orcid.org/0009-0009-8927-8271"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chuanjiang Cui","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, South Korea","Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0009-8927-8271","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072945456","display_name":"Kyu\u2010Jin Jung","orcid":"https://orcid.org/0000-0003-2842-1707"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyu-Jin Jung","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, South Korea","Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2842-1707","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035247809","display_name":"Mohammed A. Al\u2010masni","orcid":"https://orcid.org/0000-0002-1548-965X"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"id":"https://openalex.org/I4210126996","display_name":"Sejong Institute","ror":"https://ror.org/03qs3qx17","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I4210126996"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mohammed A. Al-Masni","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, College of AI Convergence, Sejong University, South Korea","Department of Artificial Intelligence, College of Software & Convergence Technology, Daeyang AI Center, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1548-965X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, College of AI Convergence, Sejong University, South Korea","institution_ids":["https://openalex.org/I4210126996"]},{"raw_affiliation_string":"Department of Artificial Intelligence, College of Software & Convergence Technology, Daeyang AI Center, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702556","display_name":"Jun\u2010Hyeong Kim","orcid":"https://orcid.org/0000-0001-8382-0589"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Hyeong Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, South Korea","Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8382-0589","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746109","display_name":"Soo\u2010Yeon Kim","orcid":"https://orcid.org/0000-0001-8915-3924"},"institutions":[{"id":"https://openalex.org/I2802835388","display_name":"Seoul National University Hospital","ror":"https://ror.org/01z4nnt86","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Yeon Kim","raw_affiliation_strings":["Department of Radiology, Seoul National University Hospital, South Korea","Department of Radiology, Seoul National University Hospital, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8915-3924","affiliations":[{"raw_affiliation_string":"Department of Radiology, Seoul National University Hospital, South Korea","institution_ids":["https://openalex.org/I2802835388"]},{"raw_affiliation_string":"Department of Radiology, Seoul National University Hospital, Seoul, South Korea","institution_ids":["https://openalex.org/I2802835388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737803","display_name":"Mina Park","orcid":"https://orcid.org/0000-0002-2005-7560"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210144108","display_name":"Gangnam Severance Hospital","ror":"https://ror.org/04ajwkn20","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210144108","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mina Park","raw_affiliation_strings":["Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, South Korea","Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2005-7560","affiliations":[{"raw_affiliation_string":"Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, South Korea","institution_ids":["https://openalex.org/I4210144108","https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea","institution_ids":["https://openalex.org/I4210144108","https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038352899","display_name":"Shao Ying Huang","orcid":"https://orcid.org/0000-0003-3775-8205"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shao Ying Huang","raw_affiliation_strings":["Department of Surgery, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3775-8205","affiliations":[{"raw_affiliation_string":"Department of Surgery, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052523460","display_name":"Se Young Chun","orcid":"https://orcid.org/0000-0001-8739-8960"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se Young Chun","raw_affiliation_strings":["Department of ECE, INMC & IPAI, SNU, South Korea","Department of ECE, INMC & IPAI, SNU, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8739-8960","affiliations":[{"raw_affiliation_string":"Department of ECE, INMC & IPAI, SNU, South Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Department of ECE, INMC & IPAI, SNU, Seoul, South Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Dong-Hyun Kim","orcid":"https://orcid.org/0000-0002-6717-7770"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Hyun Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6717-7770","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0877,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77251624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"72","issue":"1","first_page":"43","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6545698642730713},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5761654376983643},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5502246022224426},{"id":"https://openalex.org/keywords/network-tomography","display_name":"Network tomography","score":0.4936741292476654},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4706771969795227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35027486085891724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32925164699554443},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28849470615386963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2880953550338745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28363293409347534},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20647871494293213},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15472817420959473},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11921188235282898}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6545698642730713},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5761654376983643},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5502246022224426},{"id":"https://openalex.org/C146368544","wikidata":"https://www.wikidata.org/wiki/Q3408544","display_name":"Network tomography","level":3,"score":0.4936741292476654},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4706771969795227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35027486085891724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32925164699554443},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28849470615386963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2880953550338745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28363293409347534},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20647871494293213},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15472817420959473},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11921188235282898},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2024.3438270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3438270","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:39102318","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39102318","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 bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1879676893","https://openalex.org/W1993811771","https://openalex.org/W1996106287","https://openalex.org/W1997166831","https://openalex.org/W2009715559","https://openalex.org/W2031226813","https://openalex.org/W2052320567","https://openalex.org/W2054640142","https://openalex.org/W2085283418","https://openalex.org/W2102213632","https://openalex.org/W2117026441","https://openalex.org/W2135036909","https://openalex.org/W2140796340","https://openalex.org/W2145568341","https://openalex.org/W2160496476","https://openalex.org/W2213952461","https://openalex.org/W2302082100","https://openalex.org/W2567593740","https://openalex.org/W2596788176","https://openalex.org/W2735421400","https://openalex.org/W2769902105","https://openalex.org/W2771305881","https://openalex.org/W2796175881","https://openalex.org/W2895812270","https://openalex.org/W2896914111","https://openalex.org/W2904438430","https://openalex.org/W3035542568","https://openalex.org/W3158445844","https://openalex.org/W3202482953","https://openalex.org/W4206761497","https://openalex.org/W4214744659","https://openalex.org/W4287375723","https://openalex.org/W4384665205","https://openalex.org/W4384925415","https://openalex.org/W6603785896","https://openalex.org/W6638484148","https://openalex.org/W6664401941","https://openalex.org/W6749609952","https://openalex.org/W6751008754","https://openalex.org/W6755694737","https://openalex.org/W6767302851","https://openalex.org/W6770190274","https://openalex.org/W6792401277","https://openalex.org/W6838771609"],"related_works":["https://openalex.org/W2361733576","https://openalex.org/W2096664517","https://openalex.org/W2963067051","https://openalex.org/W2349761239","https://openalex.org/W2385058844","https://openalex.org/W2141501134","https://openalex.org/W2017770500","https://openalex.org/W3149522582","https://openalex.org/W2048192716","https://openalex.org/W2189202338"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1,12],"imaging":[2],"(MRI)":[3],"can":[4],"estimate":[5],"tissue":[6],"conductivity":[7,208],"values":[8,214],"using":[9],"phase-based":[10,235],"magnetic":[11],"electrical":[13],"properties":[14],"tomography":[15],"(MR-EPT).":[16],"However,":[17],"this":[18,33,222],"method":[19,164,206],"is":[20,223],"prone":[21],"to":[22,26,68,80,198],"noise":[23,168,192],"amplification":[24,193],"due":[25],"the":[27,52,59,82,96,104,109,132,136,162,224],"Laplacian":[28],"operator's":[29],"sensitivity.":[30],"To":[31,219],"address":[32],"issue,":[34],"we":[35,73,118],"propose":[36],"a":[37,63,113,233],"novel":[38],"unsupervised":[39,115,228],"preprocessing":[40],"denoiser":[41],"for":[42,98],"MRI":[43],"transceive":[44],"phase":[45,126,170],"images.":[46],"Our":[47,139],"approach":[48,229],"draws":[49],"inspiration":[50],"from":[51,200],"deep":[53],"image":[54],"prior":[55],"(DIP)":[56],"technique,":[57],"utilizing":[58],"random":[60],"initialization":[61],"of":[62,90,125,135,231],"convolutional":[64],"neural":[65],"network":[66],"(CNN)":[67],"enforce":[69],"implicit":[70],"regularization.":[71],"Additionally,":[72],"incorporate":[74],"Stein.s":[75],"unbiased":[76,88],"risk":[77,137],"estimator":[78,89],"(SURE)":[79],"optimize":[81],"network,":[83],"which":[84],"serves":[85],"as":[86],"an":[87],"mean":[91],"square":[92],"error,":[93],"thereby":[94],"eliminating":[95],"need":[97],"labeled":[99],"data.":[100,183],"This":[101],"modification":[102],"mitigates":[103],"overfitting":[105],"commonly":[106],"associated":[107],"with":[108,131,210,216],"DIP":[110],"approach,":[111],"enabling":[112],"fully":[114,227],"framework.":[116],"Furthermore,":[117],"process":[119],"real":[120],"and":[121,155,175,180,194,203,213],"imaginary":[122],"images":[123],"instead":[124],"images,":[127],"aligning":[128],"more":[129],"closely":[130],"theoretical":[133],"basis":[134],"estimator.":[138],"generative":[140],"model":[141],"does":[142],"not":[143],"require":[144],"pre-training":[145],"or":[146],"extensive":[147],"training":[148],"datasets,":[149],"maintaining":[150],"adaptability":[151],"across":[152],"different":[153],"resolutions":[154],"signal-to-noise":[156],"ratio":[157],"levels.":[158],"In":[159],"our":[160,205,220],"evaluations,":[161],"proposed":[163],"significantly":[165],"reduced":[166,211],"residual":[167],"in":[169,178],"maps,":[171],"improving":[172],"both":[173],"quantitative":[174],"qualitative":[176],"outcomes":[177],"phantom":[179],"simulated":[181],"brain":[182],"It":[184],"also":[185],"outperformed":[186],"existing":[187],"denoising":[188],"techniques":[189],"by":[190],"reducing":[191],"boundary":[195],"errors.":[196],"Applied":[197],"data":[199],"healthy":[201],"volunteers":[202],"patients,":[204],"yielded":[207],"maps":[209],"errors":[212],"consistent":[215],"established":[217],"literature.":[218],"knowledge,":[221],"first":[225],"blind,":[226],"capable":[230],"implementing":[232],"2D":[234],"MR-EPT":[236],"reconstruction":[237],"algorithm.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-27T08:28:00.272161","created_date":"2025-10-10T00:00:00"}