{"id":"https://openalex.org/W4417473274","doi":"https://doi.org/10.1109/sipaim67325.2025.11283433","title":"Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography","display_name":"Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4417473274","doi":"https://doi.org/10.1109/sipaim67325.2025.11283433"},"language":null,"primary_location":{"id":"doi:10.1109/sipaim67325.2025.11283433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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/A5100722321","display_name":"Ping He","orcid":"https://orcid.org/0000-0002-1631-9409"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ping He","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079205565","display_name":"Faith Zhu","orcid":"https://orcid.org/0000-0002-2263-4448"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Faith Zhu","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003800544","display_name":"Rakhika Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rakhika Kumar","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110524391","display_name":"Wei Hui","orcid":"https://orcid.org/0009-0008-4919-9248"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wei Hui","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064466675","display_name":"Mariella Vargas-Gutierrez","orcid":null},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mariella Vargas-Gutierrez","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077224640","display_name":"Mark K. Friedberg","orcid":"https://orcid.org/0000-0002-4108-5560"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark Friedberg","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037743096","display_name":"Luc Mertens","orcid":"https://orcid.org/0000-0001-7308-1268"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Luc Mertens","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091131381","display_name":"Lauren Erdman","orcid":"https://orcid.org/0000-0002-7106-2669"},"institutions":[{"id":"https://openalex.org/I2801317318","display_name":"Hospital for Sick Children","ror":"https://ror.org/057q4rt57","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2801317318"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lauren Erdman","raw_affiliation_strings":["The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8"],"affiliations":[{"raw_affiliation_string":"The Hospital for Sick Children,Center for Computational Medicine,Toronto,Canada,M5G 1X8","institution_ids":["https://openalex.org/I2801317318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100722321"],"corresponding_institution_ids":["https://openalex.org/I2801317318"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58329486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.13009999692440033,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.13009999692440033,"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":0.12559999525547028,"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.12210000306367874,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.7821000218391418},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.48590001463890076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4611999988555908},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4487000107765198},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4377000033855438},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4341999888420105}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7821000218391418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043000221252441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863999724388123},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.48590001463890076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4377000033855438},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4341999888420105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39469999074935913},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3847000002861023},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.349700003862381},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim67325.2025.11283433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1567512734","https://openalex.org/W1993947467","https://openalex.org/W2964037936","https://openalex.org/W2964059111","https://openalex.org/W2979751829","https://openalex.org/W3117151339","https://openalex.org/W4287225564","https://openalex.org/W4409432992"],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"image":[1],"segmentation":[2,11,40,102],"has":[3],"innumerable":[4],"applications":[5],"and":[6,24,28,76,86,98],"benefits.":[7],"However,":[8],"evaluation":[9],"of":[10,38,55],"quality":[12,41],"traditionally":[13],"relies":[14],"on":[15],"comparison":[16],"with":[17,95],"an":[18],"existing":[19],"ground-truth.":[20],"This":[21],"work":[22],"proposes":[23],"evaluates":[25],"a":[26,36,43,51],"simple":[27],"easily":[29],"implemented":[30],"uncertainty":[31,65,92,109],"score":[32,66,93],"which":[33,63],"provides":[34],"users":[35],"sense":[37],"sample-level":[39],"without":[42],"ground-truth":[44,73],"region":[45],"to":[46,68,100],"compare":[47],"it":[48,78],"to.":[49],"Using":[50],"two":[52],"center":[53],"dataset":[54],"pediatric":[56],"echocardiograms,":[57],"we":[58,106],"demonstrate":[59],"the":[60,64,72],"manner":[61],"in":[62],"correlates":[67],"scores":[69],"produced":[70],"when":[71],"is":[74],"available":[75],"how":[77],"can":[79,112],"be":[80],"used":[81],"identify":[82],"data":[83,115],"for":[84],"labeling":[85],"fine-tuning.":[87],"Our":[88],"results":[89],"show":[90,107],"high":[91],"correlation":[94],"out-of-sample":[96],"performance":[97],"correspondence":[99],"qualitative":[101],"quality.":[103],"In":[104],"addition,":[105],"that":[108],"score-targeted":[110],"fine-tuning":[111],"boost":[113],"target":[114],"set":[116],"performance.":[117]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-18T00:00:00"}
