{"id":"https://openalex.org/W3011351900","doi":"https://doi.org/10.1117/12.2549321","title":"Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models","display_name":"Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3011351900","doi":"https://doi.org/10.1117/12.2549321","mag":"3011351900"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549321","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","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/A5015914747","display_name":"Fumin Guo","orcid":"https://orcid.org/0000-0001-6220-1455"},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fumin Guo","raw_affiliation_strings":["Sunnybrook Research Institute, Univ. of Toronto (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sunnybrook Research Institute, Univ. of Toronto (Canada)","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018161952","display_name":"Matthew Ng","orcid":"https://orcid.org/0000-0001-8267-6167"},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matthew Ng","raw_affiliation_strings":["Sunnybrook Research Institute, Univ. of Toronto (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sunnybrook Research Institute, Univ. of Toronto (Canada)","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104082528","display_name":"Graham A. Wright","orcid":null},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Graham A. Wright","raw_affiliation_strings":["Sunnybrook Research Institute, Univ. of Toronto (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sunnybrook Research Institute, Univ. of Toronto (Canada)","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9930999875068665,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9879000186920166,"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/segmentation","display_name":"Segmentation","score":0.7878556251525879},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.695814847946167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397026777267456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911968946456909},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5449525117874146},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.46597692370414734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4529333710670471},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43442219495773315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36439335346221924},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07177355885505676}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7878556251525879},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.695814847946167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397026777267456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911968946456909},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5449525117874146},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.46597692370414734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4529333710670471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43442219495773315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36439335346221924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07177355885505676},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549321","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2011111248","https://openalex.org/W2462603952","https://openalex.org/W4230611425","https://openalex.org/W4256129901","https://openalex.org/W2731899572","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0,37],"developed":[1],"an":[2,71,82],"approach":[3,23],"for":[4,115],"cardiac":[5],"cine":[6],"magnetic":[7],"resonance":[8],"image":[9],"(MRI)":[10],"left":[11],"ventricle":[12],"segmentation":[13,41,56,122],"using":[14,100],"small":[15],"training":[16,132,138],"dataset":[17,133],"with":[18,34,74,94,111],"noisy":[19,112],"manual":[20,113],"annotations.":[21,139],"Our":[22],"combined":[24,93],"the":[25,43,50,86,129,135],"strengths":[26],"of":[27,85,131,137],"deep":[28],"neural":[29],"networks":[30],"and":[31,54,98,108,124,134],"normalized":[32,45,88],"cut":[33,46,89],"continuous":[35,96,102],"regularization.":[36],"entered":[38],"U-net":[39],"coarse":[40],"into":[42],"regularized":[44],"module":[47],"that":[48],"evaluates":[49],"partitioning":[51],"quality":[52,136],"within":[53],"between":[55],"regions.":[57],"The":[58],"resulting":[59],"challenging":[60],"optimization":[61],"problem":[62],"was":[63,92],"efficiently":[64],"solved":[65,99],"through":[66],"upper":[67,83],"bound":[68,84],"relaxation":[69],"in":[70],"iterative":[72],"manner":[73],"guaranteed":[75],"convergence.":[76],"Within":[77],"each":[78],"iteration,":[79],"we":[80,118],"derived":[81],"high-order":[87],"term,":[90],"which":[91],"image-grid":[95],"regularization":[97],"a":[101],"min-cut/max-":[103],"ow":[104],"framework.":[105],"Using":[106],"5":[107],"10":[109],"subjects":[110],"labels":[114],"network":[116],"training,":[117],"observed":[119],"much":[120],"improved":[121],"accuracy":[123],"minimized":[125],"effects":[126],"due":[127],"to":[128],"size":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
