{"id":"https://openalex.org/W3127600691","doi":"https://doi.org/10.1109/bibm49941.2020.9313411","title":"A Network of Simultaneous Segmentation and Registration for Right Ventricle MRI","display_name":"A Network of Simultaneous Segmentation and Registration for Right Ventricle MRI","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127600691","doi":"https://doi.org/10.1109/bibm49941.2020.9313411","mag":"3127600691"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5112607940","display_name":"Adan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Adan Lin","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448276","display_name":"Zhenzhen Li","orcid":"https://orcid.org/0009-0001-9649-4302"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086985713","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-6680-6934"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Yang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9840999841690063,"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":0.9840999841690063,"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":0.9588000178337097,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9347000122070312,"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/hausdorff-distance","display_name":"Hausdorff distance","score":0.8514246940612793},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.8450558185577393},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7662577629089355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7471535801887512},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6429175734519958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314531564712524},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5905947089195251},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5708692073822021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5504341721534729},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4751981496810913},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44559597969055176},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42388907074928284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40507179498672485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29169324040412903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13954782485961914}],"concepts":[{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.8514246940612793},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.8450558185577393},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7662577629089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7471535801887512},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6429175734519958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314531564712524},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5905947089195251},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5708692073822021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5504341721534729},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4751981496810913},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44559597969055176},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42388907074928284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40507179498672485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29169324040412903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13954782485961914},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1591850564","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1987512289","https://openalex.org/W1987869189","https://openalex.org/W2057441779","https://openalex.org/W2160754664","https://openalex.org/W2170064066","https://openalex.org/W2337438617","https://openalex.org/W2398551600","https://openalex.org/W2470417264","https://openalex.org/W2588773529","https://openalex.org/W2653848517","https://openalex.org/W2804047627","https://openalex.org/W2891759811","https://openalex.org/W2892572373","https://openalex.org/W2922901657","https://openalex.org/W2953122916","https://openalex.org/W2962885625","https://openalex.org/W2963395421","https://openalex.org/W2963736634","https://openalex.org/W2980058640","https://openalex.org/W2989821457","https://openalex.org/W3009563704","https://openalex.org/W4230920194","https://openalex.org/W4300945631","https://openalex.org/W6703635231","https://openalex.org/W6720314843","https://openalex.org/W6734286179","https://openalex.org/W6742126214","https://openalex.org/W6745521783","https://openalex.org/W6748870042","https://openalex.org/W6749330325"],"related_works":["https://openalex.org/W4402926319","https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W4254054209","https://openalex.org/W3127600691","https://openalex.org/W3188463548","https://openalex.org/W1121315442","https://openalex.org/W4200334192"],"abstract_inverted_index":{"Short-axis":[0],"MRI":[1],"segmentation":[2,23,169],"of":[3,17,48],"the":[4,13,18,46,49,69,75,84,100,104,108,113,117,121,128,143,151,165,179,193],"right":[5,19,50,167],"ventricle":[6,168],"plays":[7],"an":[8],"important":[9],"role":[10],"in":[11,164,196],"assessing":[12],"structure":[14],"and":[15,94,107,112,120,135,150,178],"function":[16],"ventricle.":[20],"However,":[21],"RV":[22,44,55],"is":[24,59,66,81,97,148,156,176,182],"a":[25,38,90,95],"challenge":[26],"due":[27],"to":[28,83,88],"its":[29],"complex":[30],"crescent":[31],"shape.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"deep":[39],"learning-based":[40],"method":[41],"for":[42],"segmenting":[43],"using":[45,61,68],"registration":[47,76],"ventricular":[51],"shape":[52,56,70,79,91,109],"model.":[53],"The":[54,78,123,172,185],"probability":[57,72,92,110],"model":[58,80],"constructed":[60],"training":[62],"samples.":[63],"Next,":[64],"aU-Net":[65],"trained":[67],"prior":[71],"by":[73],"employing":[74],"technique.":[77],"registered":[82],"network's":[85],"predictive":[86,118],"results":[87,125,187],"estimate":[89],"map,":[93],"loss":[96],"defined":[98],"as":[99],"Kullback-Leibler":[101,114],"divergence":[102,115],"between":[103,116],"prediction":[105],"result":[106,119],"map":[111],"Ground-truth.":[122],"experimental":[124],"obtained":[126],"from":[127],"cardiac":[129],"automatic":[130],"diagnosis":[131],"challenge-medical":[132],"imaging":[133],"calculation":[134],"computer-aided":[136],"intervention":[137],"(ACDC-MICCAI)":[138],"2017":[139],"dataset":[140],"show":[141,188],"that":[142,189],"average":[144,152,173],"3D":[145,153],"dice":[146,174],"coefficient":[147,175],"0.919,":[149],"Hausdorff":[154,180],"distance":[155,181],"10.71mm.":[157],"Our":[158],"network":[159,191],"has":[160],"also":[161],"been":[162],"verified":[163],"MICCAI2012":[166],"challenge(RVSC)":[170],"dataset.":[171],"0.865,":[177],"6.":[183],"10mm.":[184],"evaluation":[186,198],"our":[190],"outperforms":[192],"state-of-art":[194],"methods":[195],"several":[197],"indicators.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
