{"id":"https://openalex.org/W2070689356","doi":"https://doi.org/10.1109/tmi.2014.2305751","title":"Regional Manifold Learning for Disease Classification","display_name":"Regional Manifold Learning for Disease Classification","publication_year":2014,"publication_date":"2014-02-11","ids":{"openalex":"https://openalex.org/W2070689356","doi":"https://doi.org/10.1109/tmi.2014.2305751","mag":"2070689356","pmid":"https://pubmed.ncbi.nlm.nih.gov/24893254"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2305751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2305751","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.ncbi.nlm.nih.gov/pmc/articles/5450500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068927047","display_name":"Dong Hye Ye","orcid":"https://orcid.org/0000-0002-9186-4095"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dong Hye Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, Lafayette, IN, USA","Department of Electrical and Computer Engineering, Purdue University#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University#TAB#","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102851427","display_name":"Benoit Desjardins","orcid":"https://orcid.org/0000-0003-0693-4982"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benoit Desjardins","raw_affiliation_strings":["Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","Department of Radiology, University of Pennsylvania;"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania;","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085659523","display_name":"Jihun Hamm","orcid":"https://orcid.org/0000-0002-0680-0901"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihun Hamm","raw_affiliation_strings":["Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","Dept. of Computer Science and Engineering, Ohio State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005340751","display_name":"Harold Litt","orcid":"https://orcid.org/0000-0003-2394-6053"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harold Litt","raw_affiliation_strings":["Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","Department of Radiology, University of Pennsylvania;"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania;","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055107125","display_name":"Kilian M. Pohl","orcid":"https://orcid.org/0000-0001-5416-5159"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kilian M. Pohl","raw_affiliation_strings":["Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA","Center for Health Sciences, SRI International"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Center for Health Sciences, SRI International","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068927047"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":6.07,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95622487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"33","issue":"6","first_page":"1236","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846631765365601},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5851122736930847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828569531440735},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5650789141654968},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5315753221511841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.51112300157547},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.47529637813568115},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4623808264732361},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4267783463001251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41032934188842773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39164429903030396},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21527662873268127},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15644225478172302}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846631765365601},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5851122736930847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828569531440735},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5650789141654968},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5315753221511841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.51112300157547},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.47529637813568115},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4623808264732361},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4267783463001251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41032934188842773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39164429903030396},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21527662873268127},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15644225478172302},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D013771","descriptor_name":"Tetralogy of Fallot","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2014.2305751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2305751","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:24893254","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24893254","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:4304890","is_oa":false,"landing_page_url":"http://europepmc.org/articles/PMC5450500","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:pubmedcentral.nih.gov:5450500","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5450500","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5450500","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5450500","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.550000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3300750538","display_name":null,"funder_award_id":"K05 AA017168","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8861881943","display_name":null,"funder_award_id":"UL1RR024134","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W56600673","https://openalex.org/W94826918","https://openalex.org/W163037119","https://openalex.org/W176001301","https://openalex.org/W1459599406","https://openalex.org/W1479960696","https://openalex.org/W1550070218","https://openalex.org/W1965359844","https://openalex.org/W1968736638","https://openalex.org/W1969803895","https://openalex.org/W1972785384","https://openalex.org/W1975602166","https://openalex.org/W1989986853","https://openalex.org/W1998070036","https://openalex.org/W2001141328","https://openalex.org/W2006557707","https://openalex.org/W2008012982","https://openalex.org/W2009439276","https://openalex.org/W2032051785","https://openalex.org/W2035424004","https://openalex.org/W2049364949","https://openalex.org/W2053101950","https://openalex.org/W2053186076","https://openalex.org/W2057332541","https://openalex.org/W2061204055","https://openalex.org/W2063439326","https://openalex.org/W2068019092","https://openalex.org/W2070949043","https://openalex.org/W2073540991","https://openalex.org/W2082829292","https://openalex.org/W2095905764","https://openalex.org/W2097308346","https://openalex.org/W2102254199","https://openalex.org/W2103857226","https://openalex.org/W2109628644","https://openalex.org/W2114897591","https://openalex.org/W2115023186","https://openalex.org/W2117340355","https://openalex.org/W2118286367","https://openalex.org/W2118924626","https://openalex.org/W2119821739","https://openalex.org/W2119848633","https://openalex.org/W2120137102","https://openalex.org/W2121014637","https://openalex.org/W2123225824","https://openalex.org/W2125656488","https://openalex.org/W2125963020","https://openalex.org/W2127311714","https://openalex.org/W2146308017","https://openalex.org/W2146980616","https://openalex.org/W2148046162","https://openalex.org/W2154053567","https://openalex.org/W2156287497","https://openalex.org/W2157511995","https://openalex.org/W2158878123","https://openalex.org/W2160698381","https://openalex.org/W2163619454","https://openalex.org/W2166026161","https://openalex.org/W2167277498","https://openalex.org/W2167917621","https://openalex.org/W2169212716","https://openalex.org/W3022413497","https://openalex.org/W4213367101","https://openalex.org/W4239510810","https://openalex.org/W4292023222","https://openalex.org/W4296194902","https://openalex.org/W4300571980","https://openalex.org/W6628785978","https://openalex.org/W6683576312"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W49725993","https://openalex.org/W2380477800","https://openalex.org/W2347974653","https://openalex.org/W2766342722","https://openalex.org/W2380996235","https://openalex.org/W2573981081"],"abstract_inverted_index":{"While":[0],"manifold":[1,43,136],"learning":[2,133],"from":[3,20],"images":[4,35],"itself":[5],"has":[6],"become":[7],"widely":[8],"used":[9],"in":[10],"medical":[11],"image":[12,23,58,140],"analysis,":[13],"the":[14,42,49,83,96,101,138],"accuracy":[15,98,130],"of":[16,55,86,99,110,120,122],"existing":[17],"implementations":[18],"suffers":[19],"viewing":[21],"each":[22,45,80],"as":[24,52],"a":[25,65,75,134],"single":[26,76,135],"data":[27],"point.":[28],"To":[29],"address":[30],"this":[31],"issue,":[32],"we":[33],"parcellate":[34],"into":[36,64],"regions":[37,69],"and":[38,114],"then":[39,62],"separately":[40],"learn":[41],"for":[44,79],"region.":[46],"We":[47,73],"use":[48],"regional":[50,88,97],"manifolds":[51],"low-dimensional":[53],"descriptors":[54],"high-dimensional":[56],"morphological":[57],"features,":[59],"which":[60],"are":[61],"fed":[63],"classifier":[66],"to":[67,105],"identify":[68],"affected":[70],"by":[71,82,95],"disease.":[72,102],"produce":[74],"ensemble":[77],"decision":[78],"scan":[81],"weighted":[84],"combination":[85],"these":[87],"classification":[89,129],"results.":[90],"Each":[91],"weight":[92],"is":[93],"determined":[94],"detecting":[100],"When":[103],"applied":[104],"cardiac":[106],"magnetic":[107],"resonance":[108],"imaging":[109],"50":[111,115],"normal":[112],"controls":[113],"patients":[116],"with":[117],"reconstructive":[118],"surgery":[119],"Tetralogy":[121],"Fallot,":[123],"our":[124],"method":[125],"achieves":[126],"significantly":[127],"better":[128],"than":[131],"approaches":[132],"across":[137],"entire":[139],"domain.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}