{"id":"https://openalex.org/W3155282375","doi":"https://doi.org/10.1109/tmi.2021.3074033","title":"Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation","display_name":"Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation","publication_year":2021,"publication_date":"2021-04-20","ids":{"openalex":"https://openalex.org/W3155282375","doi":"https://doi.org/10.1109/tmi.2021.3074033","mag":"3155282375","pmid":"https://pubmed.ncbi.nlm.nih.gov/33872145"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3074033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3074033","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9526230/09406923.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/42/9526230/09406923.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061669274","display_name":"Allen Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Allen Lu","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040167774","display_name":"Shawn S. Ahn","orcid":"https://orcid.org/0000-0002-5961-3376"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn S. Ahn","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5961-3376","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085020647","display_name":"Kevinminh Ta","orcid":"https://orcid.org/0000-0003-3713-243X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevinminh Ta","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0003-3713-243X","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036427123","display_name":"Nripesh Parajuli","orcid":"https://orcid.org/0000-0003-2651-4184"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nripesh Parajuli","raw_affiliation_strings":["Caption Health, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Caption Health, San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013220822","display_name":"John C. Stendahl","orcid":"https://orcid.org/0000-0002-1568-9280"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John C. Stendahl","raw_affiliation_strings":["Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364724","display_name":"Zhao Liu","orcid":"https://orcid.org/0000-0002-9847-7098"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhao Liu","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Radiology and Biomedical imaging, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical imaging, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050489818","display_name":"Nabil E. Boutagy","orcid":"https://orcid.org/0000-0003-1994-9075"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabil E. Boutagy","raw_affiliation_strings":["Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043587571","display_name":"Geng-Shi Jeng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Geng-Shi Jeng","raw_affiliation_strings":["Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-4105-573X","affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078494006","display_name":"Lawrence H. Staib","orcid":"https://orcid.org/0000-0002-9516-5136"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence H. Staib","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-9516-5136","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065114207","display_name":"Matthew O\u2019Donnell","orcid":"https://orcid.org/0000-0001-8780-7613"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew O'Donnell","raw_affiliation_strings":["Department of Bioengineering, University of Washington  Seattle WA USA"],"raw_orcid":"https://orcid.org/0000-0001-8780-7613","affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Washington  Seattle WA USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041557267","display_name":"Albert J. Sinusas","orcid":"https://orcid.org/0000-0003-0972-9589"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert J. Sinusas","raw_affiliation_strings":["Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","Yale University, New Haven, CT, USA","Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Internal Medicine Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Yale University, New Haven, CT, USA","Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5167-9856","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5061669274"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":2.5101,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90418616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":"9","first_page":"2233","last_page":"2245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9919999837875366,"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/T11366","display_name":"Elasticity and Material Modeling","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/regularization","display_name":"Regularization (linguistics)","score":0.8163160085678101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6557698845863342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426274180412292},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6396446228027344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5053024888038635},{"id":"https://openalex.org/keywords/regularization-perspectives-on-support-vector-machines","display_name":"Regularization perspectives on support vector machines","score":0.47305479645729065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4692131578922272},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4228046238422394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42270082235336304},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.2876046597957611},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2722884714603424},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.09737437963485718},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06937441229820251}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.8163160085678101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6557698845863342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426274180412292},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6396446228027344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5053024888038635},{"id":"https://openalex.org/C141718189","wikidata":"https://www.wikidata.org/wiki/Q7309628","display_name":"Regularization perspectives on support vector machines","level":4,"score":0.47305479645729065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4692131578922272},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4228046238422394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42270082235336304},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2876046597957611},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2722884714603424},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.09737437963485718},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06937441229820251},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2021.3074033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3074033","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9526230/09406923.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33872145","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33872145","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},{"id":"pmh:oai:europepmc.org:7335548","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8442959","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8442959","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8442959","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/tmi.2021.3074033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3074033","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9526230/09406923.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1505602298","display_name":null,"funder_award_id":"T32GM007205","funder_id":"https://openalex.org/F4320308380","funder_display_name":"Yale University"},{"id":"https://openalex.org/G3191729283","display_name":null,"funder_award_id":"T32GM007205","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3281503538","display_name":null,"funder_award_id":"T32HL098069","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4963461831","display_name":null,"funder_award_id":"R01HL121226","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155282375.pdf","grobid_xml":"https://content.openalex.org/works/W3155282375.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W995061013","https://openalex.org/W1578285471","https://openalex.org/W1884565435","https://openalex.org/W1920962657","https://openalex.org/W1973391164","https://openalex.org/W1976977664","https://openalex.org/W1981752548","https://openalex.org/W1983205561","https://openalex.org/W2002100090","https://openalex.org/W2005126631","https://openalex.org/W2083704705","https://openalex.org/W2085789144","https://openalex.org/W2096619076","https://openalex.org/W2098449997","https://openalex.org/W2104375408","https://openalex.org/W2113576511","https://openalex.org/W2115779572","https://openalex.org/W2116390358","https://openalex.org/W2117333116","https://openalex.org/W2118877769","https://openalex.org/W2127735446","https://openalex.org/W2151882759","https://openalex.org/W2152620868","https://openalex.org/W2155894935","https://openalex.org/W2157364932","https://openalex.org/W2159617609","https://openalex.org/W2161953947","https://openalex.org/W2165734775","https://openalex.org/W2171206037","https://openalex.org/W2171790646","https://openalex.org/W2187089797","https://openalex.org/W2275973573","https://openalex.org/W2395240779","https://openalex.org/W2478454054","https://openalex.org/W2511131004","https://openalex.org/W2526801888","https://openalex.org/W2543444369","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2595369591","https://openalex.org/W2751023760","https://openalex.org/W2751096490","https://openalex.org/W2753647007","https://openalex.org/W2794202166","https://openalex.org/W2963784072","https://openalex.org/W2963826681","https://openalex.org/W2997385702","https://openalex.org/W3010254652","https://openalex.org/W3096831136","https://openalex.org/W6639480849","https://openalex.org/W6677548441","https://openalex.org/W6682116541","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6734594426"],"related_works":["https://openalex.org/W2366023887","https://openalex.org/W1989857057","https://openalex.org/W2062975788","https://openalex.org/W3110578843","https://openalex.org/W2388364587","https://openalex.org/W1570628932","https://openalex.org/W4254199101","https://openalex.org/W2196847968","https://openalex.org/W2935233291","https://openalex.org/W2783547182"],"abstract_inverted_index":{"Reliable":[0],"motion":[1,27,52],"estimation":[2,28],"and":[3,13,23,44,110],"strain":[4,155],"analysis":[5],"using":[6,152],"3D+":[7],"time":[8],"echocardiography":[9],"(4DE)":[10],"for":[11,20,49,83,121],"localization":[12],"characterization":[14],"of":[15,42,61,114,142],"myocardial":[16],"injury":[17],"is":[18,29,47,89],"valuable":[19],"early":[21],"detection":[22],"targeted":[24],"interventions.":[25],"However,":[26],"difficult":[30],"due":[31],"to":[32,91,101,148,160],"the":[33,38,59,112,118,126,140],"low-SNR":[34],"that":[35,88],"stems":[36],"from":[37,165],"inherent":[39],"image":[40],"properties":[41],"4DE,":[43],"intelligent":[45],"regularization":[46,69,128,146],"critical":[48],"producing":[50],"reliable":[51],"estimates.":[53],"In":[54],"this":[55,99],"work,":[56],"we":[57,138],"incorporated":[58],"notion":[60],"domain":[62,122],"adaptation":[63],"into":[64],"a":[65,74,85,103],"supervised":[66,104],"neural":[67],"network":[68,79],"framework.":[70],"We":[71,97,124],"first":[72],"propose":[73],"semi-supervised":[75,127,144],"Multi-Layered":[76],"Perceptron":[77],"(MLP)":[78],"with":[80,134,157],"biomechanical":[81,115],"constraints":[82,116],"learning":[84,145],"latent":[86],"representation":[87],"shown":[90],"have":[92],"more":[93],"physiologically":[94],"plausible":[95],"displacements.":[96],"extended":[98],"framework":[100],"include":[102],"loss":[105],"term":[106],"on":[107,117,130],"synthetic":[108],"data":[109,133],"showed":[111,139],"effects":[113],"network's":[119],"ability":[120,141],"adaptation.":[123],"validated":[125],"method":[129],"in":[131],"vivo":[132],"implanted":[135],"sonomicrometers.":[136],"Finally,":[137],"our":[143],"approach":[147],"identify":[149],"infarct":[150,163],"regions":[151,164],"estimated":[153],"regional":[154],"maps":[156],"good":[158],"agreement":[159],"manually":[161],"traced":[162],"postmortem":[166],"excised":[167],"hearts.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
