{"id":"https://openalex.org/W4391661489","doi":"https://doi.org/10.1109/tmi.2024.3362964","title":"Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography","display_name":"Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W4391661489","doi":"https://doi.org/10.1109/tmi.2024.3362964","pmid":"https://pubmed.ncbi.nlm.nih.gov/38329865"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3362964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3362964","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114973376","display_name":"Zhenxuan Zhang","orcid":"https://orcid.org/0009-0002-2904-2848"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxuan Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0002-2904-2848","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084912833","display_name":"Chengjin Yu","orcid":"https://orcid.org/0000-0003-2544-3142"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjin Yu","raw_affiliation_strings":["School of Big Data and Statistics, Anhui University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Statistics, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055336250","display_name":"Heye Zhang","orcid":"https://orcid.org/0000-0003-3828-0629"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heye Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3828-0629","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049053722","display_name":"Zhifan Gao","orcid":"https://orcid.org/0000-0002-1576-4439"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifan Gao","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1576-4439","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1206,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98099344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"43","issue":"6","first_page":"2215","last_page":"2228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9990000128746033,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9990000128746033,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9923999905586243,"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":0.9861999750137329,"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/computer-science","display_name":"Computer science","score":0.6786250472068787},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6439166069030762},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6140912175178528},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47422266006469727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4616917371749878},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4558086097240448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41148194670677185},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41025733947753906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2603808641433716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786250472068787},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6439166069030762},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6140912175178528},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47422266006469727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4616917371749878},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4558086097240448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41148194670677185},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41025733947753906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2603808641433716},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"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":"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":"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":"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":"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":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3362964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3362964","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:38329865","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38329865","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1313782441","display_name":null,"funder_award_id":"62101606","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2173690576","display_name":null,"funder_award_id":"2022YFE0209800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2354775537","display_name":null,"funder_award_id":"62271511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5310150178","display_name":null,"funder_award_id":"62276282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6931848418","display_name":null,"funder_award_id":"62325113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8083510919","display_name":null,"funder_award_id":"62101491","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G894790114","display_name":null,"funder_award_id":"2022A1515011384","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2117130368","https://openalex.org/W2397911846","https://openalex.org/W2427094903","https://openalex.org/W2618456149","https://openalex.org/W2621477274","https://openalex.org/W2757633676","https://openalex.org/W2767925488","https://openalex.org/W2775070320","https://openalex.org/W2894839648","https://openalex.org/W2895387432","https://openalex.org/W2913340405","https://openalex.org/W2915232829","https://openalex.org/W2962793481","https://openalex.org/W2963430933","https://openalex.org/W2963572302","https://openalex.org/W2971555134","https://openalex.org/W2972635947","https://openalex.org/W2990249872","https://openalex.org/W2996231799","https://openalex.org/W2997678919","https://openalex.org/W3013586057","https://openalex.org/W3013692475","https://openalex.org/W3034225195","https://openalex.org/W3035276179","https://openalex.org/W3081599077","https://openalex.org/W3085046840","https://openalex.org/W3089717863","https://openalex.org/W3102373279","https://openalex.org/W3138127324","https://openalex.org/W3155197194","https://openalex.org/W3164341103","https://openalex.org/W3167120888","https://openalex.org/W3174416962","https://openalex.org/W3182657421","https://openalex.org/W3202799979","https://openalex.org/W3204334240","https://openalex.org/W3204595844","https://openalex.org/W4212846736","https://openalex.org/W4213345841","https://openalex.org/W4285986278","https://openalex.org/W4289752563","https://openalex.org/W4308951074","https://openalex.org/W4312696412","https://openalex.org/W4313155487","https://openalex.org/W4319222126","https://openalex.org/W4367721833","https://openalex.org/W4378194885","https://openalex.org/W4379140988","https://openalex.org/W6745995898","https://openalex.org/W6754005058","https://openalex.org/W6767140673"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W4386113923"],"abstract_inverted_index":{"Multi-dimensional":[0],"analysis":[1,158,201],"in":[2,120,135,208],"echocardiography":[3],"has":[4,34],"attracted":[5],"attention":[6],"due":[7],"to":[8,23,43,57,83,95,104,107,117],"its":[9],"potential":[10,56],"for":[11,71],"clinical":[12],"indices":[13],"quantification":[14],"and":[15,48,77,86,131,185,205],"computer-aided":[16],"diagnosis.":[17],"It":[18],"can":[19,171,197],"utilize":[20],"various":[21],"information":[22],"provide":[24,172,198],"the":[25,35,55,65,97,105,133,140,152,169],"estimation":[26],"of":[27,37,202],"multiple":[28,146],"cardiac":[29,203],"indices.":[30],"However,":[31,61],"it":[32],"still":[33],"challenge":[36],"inter-task":[38,59],"conflict.":[39,60],"This":[40,80,112,138],"is":[41,206],"owing":[42],"regional":[44],"confusion,":[45],"global":[46],"abnormalities,":[47],"time-accumulated":[49],"errors.":[50],"Task":[51],"mapping":[52],"methods":[53,159],"have":[54],"address":[58],"they":[62],"may":[63,81],"overlook":[64],"inherent":[66,109],"differences":[67],"between":[68],"tasks,":[69],"especially":[70],"multi-level":[72,102,114],"tasks":[73,103],"(e.g.,":[74],"pixel-level,":[75],"image-level,":[76],"sequence-level":[78],"tasks).":[79],"lead":[82],"inappropriate":[84],"local":[85],"spurious":[87],"task":[88,110,115,141,147],"constraints.":[89],"We":[90],"propose":[91],"cross-space":[92],"consistency":[93],"(CSC)":[94],"overcome":[96],"challenge.":[98],"The":[99,125,165],"CSC":[100,153,170],"embeds":[101],"same-level":[106],"reduce":[108],"differences.":[111],"allows":[113],"features":[116,130],"be":[118],"consistent":[119],"a":[121,199],"unified":[122],"latent":[123,126],"space.":[124],"space":[127],"extracts":[128],"task-common":[129],"constrains":[132,139],"distance":[134],"these":[136],"features.":[137],"weight":[142],"region":[143],"that":[144,168,194],"satisfies":[145],"conditions.":[148],"Extensive":[149],"experiments":[150],"compare":[151],"with":[154],"fifteen":[155],"state-of-the-art":[156],"echocardiographic":[157],"on":[160],"five":[161],"datasets":[162],"(10,908":[163],"patients).":[164],"result":[166],"shows":[167],"left":[173],"ventricular":[174],"(LV)":[175],"segmentation,":[176],"(DSC":[177],"=":[178,183,189],"0.932),":[179],"keypoint":[180],"detection":[181],"(MAE":[182],"3.06mm),":[184],"keyframe":[186],"identification":[187],"(accuracy":[188],"0.943).":[190],"These":[191],"results":[192],"demonstrate":[193],"our":[195],"method":[196],"multi-dimensional":[200],"function":[204],"robust":[207],"large-scale":[209],"datasets.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}