{"id":"https://openalex.org/W1978078874","doi":"https://doi.org/10.1109/ispa.2013.6703796","title":"Near-automated 3D segmentation of left and right ventricles on magnetic resonance images","display_name":"Near-automated 3D segmentation of left and right ventricles on magnetic resonance images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1978078874","doi":"https://doi.org/10.1109/ispa.2013.6703796","mag":"1978078874"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2013.6703796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},"type":"article","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/A5077334337","display_name":"Giacomo Tarroni","orcid":"https://orcid.org/0000-0002-0341-6138"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"G. Tarroni","raw_affiliation_strings":["Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006420246","display_name":"Damiano Marsili","orcid":null},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Marsili","raw_affiliation_strings":["Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061631089","display_name":"Federico Veronesi","orcid":"https://orcid.org/0000-0003-3774-206X"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Veronesi","raw_affiliation_strings":["Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060301654","display_name":"Cristiana Corsi","orcid":"https://orcid.org/0000-0002-0289-9174"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Corsi","raw_affiliation_strings":["Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058235296","display_name":"C. Lamberti","orcid":"https://orcid.org/0000-0002-0039-1369"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Lamberti","raw_affiliation_strings":["Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017674487","display_name":"Guido Sanguinetti","orcid":"https://orcid.org/0000-0002-6663-8336"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Sanguinetti","raw_affiliation_strings":["Athena Project-Team, INRIA, France","Athena Project Team, INRIA Sophia Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Athena Project-Team, INRIA, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Athena Project Team, INRIA Sophia Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077334337"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56757947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"522","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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":0.9966999888420105,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9879999756813049,"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":0.986299991607666,"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":0.7461897134780884},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance","display_name":"Cardiac magnetic resonance","score":0.5913646817207336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581900417804718},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5692884922027588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5538884997367859},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5025815963745117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4342387318611145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4176119565963745},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23241868615150452},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.17571136355400085}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7461897134780884},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.5913646817207336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581900417804718},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5692884922027588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5538884997367859},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5025815963745117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4342387318611145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4176119565963745},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23241868615150452},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.17571136355400085}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispa.2013.6703796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/400293","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/400293","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309626","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1975443612","https://openalex.org/W1982369285","https://openalex.org/W1987512289","https://openalex.org/W1987869189","https://openalex.org/W1991113069","https://openalex.org/W2023093778","https://openalex.org/W2042084395","https://openalex.org/W2092956183","https://openalex.org/W2096785341","https://openalex.org/W2108657859","https://openalex.org/W2115664739","https://openalex.org/W2146308017","https://openalex.org/W2148395335","https://openalex.org/W2150134853","https://openalex.org/W2154737100","https://openalex.org/W2159361381","https://openalex.org/W2160754664","https://openalex.org/W2164391318","https://openalex.org/W2164847599","https://openalex.org/W2167128669","https://openalex.org/W2168531443","https://openalex.org/W2170117349","https://openalex.org/W6682014874","https://openalex.org/W6683422087"],"related_works":["https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2011111248","https://openalex.org/W4256129901","https://openalex.org/W2002934375","https://openalex.org/W2006468016","https://openalex.org/W2912860444","https://openalex.org/W1907269663","https://openalex.org/W3151415490","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Quantification":[0],"of":[1,18,25,29,36,42,66,75,87,149,173,201,209],"left":[2],"(LV)":[3],"and":[4,9,44,50,71,90,111,129,163,206],"right":[5],"(RV)":[6],"ventricular":[7,140,210],"volumes":[8],"masses":[10],"from":[11],"Cardiac":[12],"Magnetic":[13],"Resonance":[14],"(CMR)":[15],"images":[16,124],"is":[17,56,98,102],"prime":[19],"importance":[20],"for":[21,47,60,84,204],"the":[22,40,54,61,85,170,174,199],"clinical":[23],"assessment":[24],"a":[26,34,64,80,105,202],"wide":[27],"variety":[28],"cardiac":[30],"diseases.":[31],"Despite":[32],"over":[33],"decade":[35],"research":[37],"aimed":[38],"at":[39,126],"development":[41],"fast":[43,205],"reliable":[45,207],"tools":[46],"automated":[48],"endo-":[49,89],"epicardial":[51,91],"contours":[52,97],"identification,":[53],"problem":[55],"still":[57],"open,":[58],"particularly":[59],"RV":[62,95,183],"as":[63,92,94,145],"consequence":[65],"its":[67,72],"more":[68],"irregular":[69],"shape":[70],"higher":[73],"density":[74],"trabeculations.":[76],"In":[77],"this":[78],"study,":[79],"novel":[81],"near-automated":[82],"technique":[83,101,119,176],"segmentation":[86],"LV":[88,178,188],"well":[93],"endocardial":[96],"presented.":[99],"The":[100,118,167],"based":[103],"on":[104,112,122],"3D":[106],"narrow-band":[107],"statistical":[108],"level":[109,115],"set":[110,116],"2D":[113],"edge-based":[114],"algorithms.":[117],"was":[120],"tested":[121],"CMR":[123],"acquired":[125],"both":[127],"end-diastolic":[128],"end-systolic":[130],"phases.":[131],"For":[132],"performance":[133],"evaluation,":[134],"an":[135],"experienced":[136],"interpreter":[137],"manually":[138,164],"traced":[139,165],"contours,":[141],"which":[142,193],"were":[143,158],"used":[144],"reference.":[146],"A":[147],"series":[148],"quantitative":[150],"error":[151],"metrics":[152],"(e.g.":[153],"mean":[154],"absolute":[155],"distance,":[156],"MAD)":[157],"computed":[159],"between":[160],"automatically":[161],"identified":[162],"contours.":[166,211],"results":[168],"showed":[169],"high":[171],"accuracy":[172],"proposed":[175],"(MAD:":[177],"Endo":[179,184],"=":[180,185,190],"1.4\u00b10.7":[181],"px;":[182,187],"1.6\u00b11.2":[186],"Epi":[189],"1.4\u00b10.6":[191],"px),":[192],"could":[194],"thus":[195],"potentially":[196],"lead":[197],"to":[198],"implementation":[200],"tool":[203],"identification":[208]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
