{"id":"https://openalex.org/W1994789219","doi":"https://doi.org/10.1109/isbi.2014.6867950","title":"Segmentation of kidney in 3D-ultrasound images using Gabor-based appearance models","display_name":"Segmentation of kidney in 3D-ultrasound images using Gabor-based appearance models","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1994789219","doi":"https://doi.org/10.1109/isbi.2014.6867950","mag":"1994789219"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","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/A5051073355","display_name":"Juan J. Cerrolaza","orcid":null},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan J. Cerrolaza","raw_affiliation_strings":["Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","Children\u00bfs National Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","institution_ids":["https://openalex.org/I1336742384"]},{"raw_affiliation_string":"Children\u00bfs National Medical Center","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070841285","display_name":"Nabile Safdar","orcid":"https://orcid.org/0000-0002-1131-8052"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabile Safdar","raw_affiliation_strings":["Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","Children\u00bfs National Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","institution_ids":["https://openalex.org/I1336742384"]},{"raw_affiliation_string":"Children\u00bfs National Medical Center","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012715733","display_name":"Craig A. Peters","orcid":"https://orcid.org/0000-0001-7598-0865"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig A. Peters","raw_affiliation_strings":["Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","Children's National Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","institution_ids":["https://openalex.org/I1336742384"]},{"raw_affiliation_string":"Children's National Medical Center","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112484790","display_name":"Emmarie Myers","orcid":null},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmarie Myers","raw_affiliation_strings":["Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","Children\u00bfs National Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","institution_ids":["https://openalex.org/I1336742384"]},{"raw_affiliation_string":"Children\u00bfs National Medical Center","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003386294","display_name":"James Jago","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"James Jago","raw_affiliation_strings":["Philips Healthcare, Bothell, WA, USA","Philips Healthcare, Bothell, WA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Bothell, WA, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"Philips Healthcare, Bothell, WA, USA#TAB#","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085732379","display_name":"Marius George Linguraru","orcid":"https://orcid.org/0000-0001-6175-8665"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marius George Linguraru","raw_affiliation_strings":["Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","Children\u00bfs National Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington DC, USA","institution_ids":["https://openalex.org/I1336742384"]},{"raw_affiliation_string":"Children\u00bfs National Medical Center","institution_ids":["https://openalex.org/I1336742384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"633","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9923999905586243,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7818549871444702},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7742501497268677},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7076389789581299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786314845085144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6074250936508179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5812835693359375},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5338795185089111},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5201559662818909},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.49656587839126587},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47550520300865173},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.4734056890010834},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41575872898101807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28473642468452454},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.2595295310020447},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07492923736572266}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7818549871444702},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7742501497268677},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7076389789581299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786314845085144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6074250936508179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5812835693359375},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5338795185089111},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5201559662818909},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.49656587839126587},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47550520300865173},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.4734056890010834},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41575872898101807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28473642468452454},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2595295310020447},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07492923736572266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6867950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","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":16,"referenced_works":["https://openalex.org/W1251994293","https://openalex.org/W1963906922","https://openalex.org/W1964335221","https://openalex.org/W1980177995","https://openalex.org/W2003282940","https://openalex.org/W2038952578","https://openalex.org/W2077220044","https://openalex.org/W2103464444","https://openalex.org/W2109292231","https://openalex.org/W2119249988","https://openalex.org/W2123410556","https://openalex.org/W2134491911","https://openalex.org/W2135587681","https://openalex.org/W4319292979","https://openalex.org/W6628200253","https://openalex.org/W6676206272"],"related_works":["https://openalex.org/W2035647503","https://openalex.org/W2047789335","https://openalex.org/W4387430173","https://openalex.org/W4385750321","https://openalex.org/W2619014764","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2097952909","https://openalex.org/W2945274617"],"abstract_inverted_index":{"This":[0,75],"paper":[1],"presents":[2],"a":[3,37,65,85,107],"new":[4],"segmentation":[5,82,96],"method":[6],"for":[7,69],"3D":[8],"ultrasound":[9],"images":[10],"of":[11,52,101,109,121,127],"the":[12,17,22,29,45,49,53,81,95,102],"pediatric":[13],"kidney.":[14],"Based":[15],"on":[16,106],"popular":[18],"active":[19],"shape":[20,40],"models,":[21],"algorithm":[23,103],"is":[24,61,78],"tailored":[25],"to":[26,43,63],"deal":[27],"with":[28,48],"particular":[30],"challenges":[31],"raised":[32],"by":[33],"US":[34,54],"images.":[35],"First,":[36],"weighted":[38],"statistical":[39],"model":[41,68],"allows":[42],"compensate":[44],"image":[46],"variation":[47],"propagation":[50],"direction":[51],"wavefront.":[55],"Second,":[56],"an":[57,117,123],"orientation":[58],"correction":[59],"approach":[60,87],"used":[62],"create":[64],"Gabor-based":[66],"appearance":[67,90],"each":[70],"landmark":[71],"at":[72],"different":[73,89],"scales.":[74],"multiscale":[76],"characteristic":[77],"incorporated":[79],"into":[80],"algorithm,":[83],"creating":[84],"hierarchical":[86],"where":[88],"models":[91],"are":[92],"considered":[93],"as":[94],"process":[97],"evolves.":[98],"The":[99],"performance":[100],"was":[104],"evaluated":[105],"dataset":[108],"14":[110],"cases,":[111],"both":[112],"healthy":[113],"and":[114,130],"pathological,":[115],"obtaining":[116],"average":[118,124,132],"Dice's":[119],"coefficient":[120],"0.85,":[122],"point-to-point":[125],"distance":[126],"4.07":[128],"mm,":[129],"0.12":[131],"relative":[133],"volume":[134],"difference.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
