{"id":"https://openalex.org/W2794077123","doi":"https://doi.org/10.1109/tmi.2017.2726112","title":"Unsupervised Myocardial Segmentation for Cardiac BOLD","display_name":"Unsupervised Myocardial Segmentation for Cardiac BOLD","publication_year":2017,"publication_date":"2017-07-12","ids":{"openalex":"https://openalex.org/W2794077123","doi":"https://doi.org/10.1109/tmi.2017.2726112","mag":"2794077123","pmid":"https://pubmed.ncbi.nlm.nih.gov/28708550"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2726112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2726112","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":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/files/44088574/Oksuz_TMI_2017.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080738214","display_name":"\u0130lkay \u00d6ks\u00fcz","orcid":"https://orcid.org/0000-0001-6478-0534"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]},{"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":["IT","US"],"is_corresponding":false,"raw_author_name":"Ilkay Oksuz","raw_affiliation_strings":["Diagnostic Radiology Department, Yale University, CT, USA","IMT School for Advanced Studies Lucca, Lucca, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Diagnostic Radiology Department, Yale University, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037953180","display_name":"Anirban Mukhopadhyay","orcid":"https://orcid.org/0000-0003-0669-4018"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anirban Mukhopadhyay","raw_affiliation_strings":["Interactive Graphics Systems Group, Technische Universit\u00e4t Darmstadt, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Graphics Systems Group, Technische Universit\u00e4t Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086319135","display_name":"Rohan Dharmakumar","orcid":"https://orcid.org/0000-0003-4120-4635"},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohan Dharmakumar","raw_affiliation_strings":["Cedars-Sinai Medical Center, Los Angeles, CA, USA","University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054437456","display_name":"Sotirios A. Tsaftaris","orcid":"https://orcid.org/0000-0002-8795-9294"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sotirios A. Tsaftaris","raw_affiliation_strings":["School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8795-9294","affiliations":[{"raw_affiliation_string":"School of Engineering, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6189,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9335373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"11","first_page":"2228","last_page":"2238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9968000054359436,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9968000054359436,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9805999994277954,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7813584804534912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7470917701721191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630419492721558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6153246760368347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5049257874488831},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.48066246509552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42552411556243896},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4202496409416199}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7813584804534912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7470917701721191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630419492721558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6153246760368347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5049257874488831},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.48066246509552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42552411556243896},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4202496409416199}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004285","descriptor_name":"Dogs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004285","descriptor_name":"Dogs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004285","descriptor_name":"Dogs","qualifier_ui":null,"qualifier_name":null,"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":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019028","descriptor_name":"Magnetic Resonance Imaging, Cine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019028","descriptor_name":"Magnetic Resonance Imaging, Cine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019028","descriptor_name":"Magnetic Resonance Imaging, Cine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1109/tmi.2017.2726112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2726112","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:28708550","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28708550","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:pure.ed.ac.uk:publications/70a4a85f-f0a4-4142-97fe-5e753620e263","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/70a4a85f-f0a4-4142-97fe-5e753620e263","pdf_url":"https://www.research.ed.ac.uk/files/44088574/Oksuz_TMI_2017.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Oksuz, I, Mukhopadhyay, A, Dharmakumar, R & Tsaftaris, S 2017, 'Unsupervised Myocardial Segmentation for Cardiac BOLD', IEEE Transactions on Medical Imaging, vol. 36, no. 11, pp. 2228 - 2238. https://doi.org/10.1109/TMI.2017.2726112","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:europepmc.org:5155468","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5726889","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/50eb8705-c695-41ad-b36e-35b2b8e3e4df","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/50eb8705-c695-41ad-b36e-35b2b8e3e4df","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Oksuz , I , Mukhopadhyay , A , Dharmakumar , R &amp; Tsaftaris , S A 2017 , ' Unsupervised Myocardial Segmentation for Cardiac BOLD ' , IEEE Transactions on Medical Imaging . https://doi.org/10.1109/TMI.2017.2726112","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5726889","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5726889","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:120537","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/120537/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/70a4a85f-f0a4-4142-97fe-5e753620e263","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/70a4a85f-f0a4-4142-97fe-5e753620e263","pdf_url":"https://www.research.ed.ac.uk/files/44088574/Oksuz_TMI_2017.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Oksuz, I, Mukhopadhyay, A, Dharmakumar, R & Tsaftaris, S 2017, 'Unsupervised Myocardial Segmentation for Cardiac BOLD', IEEE Transactions on Medical Imaging, vol. 36, no. 11, pp. 2228 - 2238. https://doi.org/10.1109/TMI.2017.2726112","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2872020096","display_name":"CardiacA.I.: Machine learning for the analysis of multimodal cardiac MR images used in the diagnosis of coronary heart disease","funder_award_id":"EP/P022928/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6891063074","display_name":null,"funder_award_id":"R01 HL091989","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G8492685422","display_name":null,"funder_award_id":"2R01HL091989-05","funder_id":"https://openalex.org/F4320320334","funder_display_name":"National Heart and Lung Institute"},{"id":"https://openalex.org/G8822802767","display_name":null,"funder_award_id":"EP/P022928/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320334","display_name":"National Heart and Lung Institute","ror":"https://ror.org/041kmwe10"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794077123.pdf","grobid_xml":"https://content.openalex.org/works/W2794077123.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W164386523","https://openalex.org/W1487300681","https://openalex.org/W1544547617","https://openalex.org/W1589124700","https://openalex.org/W1597458585","https://openalex.org/W1605601497","https://openalex.org/W1657500637","https://openalex.org/W1867429401","https://openalex.org/W1973391164","https://openalex.org/W1977772244","https://openalex.org/W1982853071","https://openalex.org/W1987512289","https://openalex.org/W1992405901","https://openalex.org/W2014105136","https://openalex.org/W2022495783","https://openalex.org/W2026062451","https://openalex.org/W2042099036","https://openalex.org/W2059240422","https://openalex.org/W2065345594","https://openalex.org/W2069959554","https://openalex.org/W2092391416","https://openalex.org/W2093723730","https://openalex.org/W2103005517","https://openalex.org/W2103559027","https://openalex.org/W2103877420","https://openalex.org/W2105967583","https://openalex.org/W2109178950","https://openalex.org/W2113708607","https://openalex.org/W2115323156","https://openalex.org/W2116120292","https://openalex.org/W2118961645","https://openalex.org/W2127271355","https://openalex.org/W2132401137","https://openalex.org/W2132870739","https://openalex.org/W2133059825","https://openalex.org/W2156926884","https://openalex.org/W2160547390","https://openalex.org/W2163204107","https://openalex.org/W2169899245","https://openalex.org/W2187440753","https://openalex.org/W2203750552","https://openalex.org/W2221825176","https://openalex.org/W2255189008","https://openalex.org/W2274227799","https://openalex.org/W2295452827","https://openalex.org/W2337438617","https://openalex.org/W2340318671","https://openalex.org/W2404618390","https://openalex.org/W2464708700","https://openalex.org/W2571826879","https://openalex.org/W2592929672","https://openalex.org/W2606576226","https://openalex.org/W2794077123","https://openalex.org/W4205182665","https://openalex.org/W6680096826","https://openalex.org/W6732476973","https://openalex.org/W6805630560"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W1522196789"],"abstract_inverted_index":{"A":[0],"fully":[1],"automated":[2],"2-D+time":[3],"myocardial":[4,29,44],"segmentation":[5,37,45,103,139],"framework":[6],"is":[7,82,105,173],"proposed":[8,102,181],"for":[9,43,158,169],"cardiac":[10,112],"magnetic":[11],"resonance":[12],"(CMR)":[13],"blood-oxygen-level-dependent":[14],"(BOLD)":[15],"data":[16,109,153],"sets.":[17],"Ischemia":[18],"detection":[19],"with":[20],"CINE":[21,118,160],"BOLD":[22,114,152,170,186],"CMR":[23],"relies":[24,71],"on":[25,72,84,107,151],"spatio-temporal":[26],"patterns":[27,33],"in":[28,46,123,183],"intensity,":[30],"but":[31],"these":[32,57],"also":[34],"trouble":[35],"supervised":[36,137],"methods,":[38],"the":[39,53,101,177,180],"de":[40],"facto":[41],"standard":[42,117,159],"cine":[47],"MRI.":[48],"Segmentation":[49],"errors":[50],"severely":[51],"undermine":[52],"accurate":[54],"extraction":[55],"of":[56,100,179],"patterns.":[58,187],"In":[59],"this":[60],"paper,":[61],"we":[62],"build":[63],"a":[64,77,108,163],"joint":[65],"motion":[66],"and":[67,87,116,125,154],"appearance":[68],"method":[69,81,167,182],"that":[70],"dictionary":[73],"learning":[74],"to":[75,94,148,175],"find":[76],"suitable":[78],"subspace.":[79],"Our":[80,132],"based":[83],"variational":[85],"pre-processing":[86],"spatial":[88],"regularization":[89],"using":[90,146],"Markov":[91],"random":[92],"fields,":[93],"further":[95],"improve":[96],"performance.":[97],"The":[98],"superiority":[99],"technique":[104],"demonstrated":[106],"set":[110],"containing":[111],"phase-resolved":[113],"MR":[115,119],"image":[120],"sequences":[121],"acquired":[122],"baseline":[124],"ischemic":[126],"condition":[127],"across":[128],"ten":[129],"canine":[130],"subjects.":[131],"unsupervised":[133],"approach":[134],"outperforms":[135],"even":[136],"state-of-the-art":[138],"techniques":[140],"by":[141],"at":[142,156],"least":[143],"10%":[144],"when":[145],"Dice":[147],"measure":[149],"accuracy":[150],"performs":[155],"par":[157],"MR.":[161],"Furthermore,":[162],"novel":[164],"segmental":[165],"analysis":[166],"attuned":[168],"time":[171],"series":[172],"utilized":[174],"demonstrate":[176],"effectiveness":[178],"preserving":[184],"key":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
