{"id":"https://openalex.org/W2942490317","doi":"https://doi.org/10.1109/iintec.2018.8695302","title":"Efficient Algorithm in Extracting Left Ventricular Ejection Fraction from Isotopic Ventriculography for Heart Pathologies Diagnosis","display_name":"Efficient Algorithm in Extracting Left Ventricular Ejection Fraction from Isotopic Ventriculography for Heart Pathologies Diagnosis","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2942490317","doi":"https://doi.org/10.1109/iintec.2018.8695302","mag":"2942490317"},"language":"en","primary_location":{"id":"doi:10.1109/iintec.2018.8695302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iintec.2018.8695302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","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/A5064068941","display_name":"Halima Dziri","orcid":"https://orcid.org/0000-0001-6895-9443"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Halima Dziri","raw_affiliation_strings":["Laboratory of biophysics and medical technology, University of Tunis El Manar"],"affiliations":[{"raw_affiliation_string":"Laboratory of biophysics and medical technology, University of Tunis El Manar","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056794813","display_name":"Mohamed Ali Cherni","orcid":"https://orcid.org/0000-0002-0736-9340"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ali Cherni","raw_affiliation_strings":["LR13ES03, SIME, ENSIT, University of Tunis, Monfleury, Tunisia"],"affiliations":[{"raw_affiliation_string":"LR13ES03, SIME, ENSIT, University of Tunis, Monfleury, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032413550","display_name":"D. Ben Sellem","orcid":"https://orcid.org/0000-0002-8421-2048"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Dorra Ben Sellem","raw_affiliation_strings":["Medical university tunis, University of Tunis El Manar, tunisia"],"affiliations":[{"raw_affiliation_string":"Medical university tunis, University of Tunis El Manar, tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064068941"],"corresponding_institution_ids":["https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59368913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9934999942779541,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9925000071525574,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9896000027656555,"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/radionuclide-ventriculography","display_name":"Radionuclide ventriculography","score":0.7088333368301392},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6649404764175415},{"id":"https://openalex.org/keywords/ejection-fraction","display_name":"Ejection fraction","score":0.658416211605072},{"id":"https://openalex.org/keywords/ventricle","display_name":"Ventricle","score":0.6351797580718994},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5146635174751282},{"id":"https://openalex.org/keywords/cardiac-cycle","display_name":"Cardiac cycle","score":0.5048609375953674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.461164653301239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3840378522872925},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3458794951438904},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3212098181247711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3209790587425232},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2628887891769409},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.15704593062400818}],"concepts":[{"id":"https://openalex.org/C2778535784","wikidata":"https://www.wikidata.org/wiki/Q7281300","display_name":"Radionuclide ventriculography","level":4,"score":0.7088333368301392},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6649404764175415},{"id":"https://openalex.org/C78085059","wikidata":"https://www.wikidata.org/wiki/Q641303","display_name":"Ejection fraction","level":3,"score":0.658416211605072},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.6351797580718994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5146635174751282},{"id":"https://openalex.org/C99398487","wikidata":"https://www.wikidata.org/wiki/Q257319","display_name":"Cardiac cycle","level":2,"score":0.5048609375953674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.461164653301239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3840378522872925},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3458794951438904},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3212098181247711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3209790587425232},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2628887891769409},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.15704593062400818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iintec.2018.8695302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iintec.2018.8695302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.49000000953674316,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1986051836","https://openalex.org/W2005857267","https://openalex.org/W2007415672","https://openalex.org/W2036384654","https://openalex.org/W2104095591","https://openalex.org/W2128361249","https://openalex.org/W2140601270","https://openalex.org/W2158914083","https://openalex.org/W2173933807","https://openalex.org/W2319744197","https://openalex.org/W2502057261","https://openalex.org/W2551503467","https://openalex.org/W2558577168","https://openalex.org/W2886856931","https://openalex.org/W2891975710","https://openalex.org/W2897250888","https://openalex.org/W6753934659"],"related_works":["https://openalex.org/W2061974138","https://openalex.org/W2261050030","https://openalex.org/W2400549785","https://openalex.org/W2413396828","https://openalex.org/W3030251887","https://openalex.org/W2413904866","https://openalex.org/W2028877236","https://openalex.org/W2316791157","https://openalex.org/W2053488560","https://openalex.org/W2348441844"],"abstract_inverted_index":{"The":[0],"isotopic":[1],"ventriculography":[2,66],"is":[3,19,60,85,109],"one":[4,74],"of":[5,40,68,119],"the":[6,28,32,44,92,106,136],"most":[7],"important":[8],"imaging":[9],"techniques":[10],"used":[11],"for":[12,135],"heart":[13,75],"pathologies":[14],"diagnosis":[15],"and":[16,22,122,130],"monitoring.":[17],"It":[18],"a":[20,38,99,117,123,131],"qualitative":[21],"quantitative":[23],"exploration":[24],"offering":[25],"to":[26,30,42,90,98,128],"clinician":[27],"possibility":[29],"track":[31],"cardiac":[33],"function.":[34],"This":[35],"study":[36,59,84],"proposes":[37],"method":[39,97,108],"segmentation":[41],"delimit":[43],"left":[45,113],"ventricle":[46],"based":[47,101,138],"on":[48,63],"adaptive":[49],"diffusion":[50],"flow":[51],"algorithm.":[52],"To":[53],"validate":[54],"our":[55,96],"results,":[56],"an":[57,80],"experimental":[58],"carried":[61,86],"out":[62,87],"50":[64,69],"radionuclide":[65],"sequence":[67,72],"patients":[70],"(each":[71],"spans":[73],"cycle)":[76],"visually":[77],"analyzed":[78],"by":[79,94],"expert.":[81],"Then,":[82],"statistical":[83],"in":[88,111],"order":[89],"evaluate":[91],"results":[93],"comparing":[95],"morphological":[100,137],"segmentation.":[102,139],"Results":[103],"show":[104],"that":[105],"proposed":[107],"better":[110],"detecting":[112],"ventricular":[114],"boundaries":[115],"with":[116],"99.7\\%":[118],"AUC":[120],"value":[121],"correlation":[124,132],"factor":[125,133],"r=0.97":[126],"compared":[127],"91.9\\%":[129],"r=0.37":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}