{"id":"https://openalex.org/W2131191043","doi":"https://doi.org/10.1109/cvprw.2008.4563025","title":"A kidney segmentation approach from DCE-MRI using level sets","display_name":"A kidney segmentation approach from DCE-MRI using level sets","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2131191043","doi":"https://doi.org/10.1109/cvprw.2008.4563025","mag":"2131191043"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":null,"display_name":"H. Abdelmunim","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. Abdelmunim","raw_affiliation_strings":["Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA","Dept. of Comput. Sci., Houston Univ., Houston, TX"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Houston Univ., Houston, TX","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111722768","display_name":"Aly A. Farag","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aly A. Farag","raw_affiliation_strings":["Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA","Computer Vision and Image Processing Lab, Department of Electrical and Computer Engineering, University of Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Computer Vision and Image Processing Lab, Department of Electrical and Computer Engineering, University of Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055901726","display_name":"William M. Miller","orcid":"https://orcid.org/0000-0003-0750-6314"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Miller","raw_affiliation_strings":["Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA","Computer Vision and Image Processing Lab, Department of Electrical and Computer Engineering, University of Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Computer Vision and Image Processing Lab, Department of Electrical and Computer Engineering, University of Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083099298","display_name":"Mohamed Abou El\u2010Ghar","orcid":"https://orcid.org/0000-0003-2713-4394"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed AboelGhar","raw_affiliation_strings":["Medical School, Mansoura University, Mansoura, Egypt","Medical School, Mansoura University, Egypt"],"affiliations":[{"raw_affiliation_string":"Medical School, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]},{"raw_affiliation_string":"Medical School, Mansoura University, Egypt","institution_ids":["https://openalex.org/I159247623"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":1.0647,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80541201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9847999811172485,"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":0.9847999811172485,"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/T10999","display_name":"Organ Transplantation Techniques and Outcomes","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11885","display_name":"MRI in cancer diagnosis","score":0.978600025177002,"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":0.7658918499946594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6942996382713318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6378747224807739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5968444347381592},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5762630105018616},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5294475555419922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5106952786445618},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4558067321777344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44134989380836487},{"id":"https://openalex.org/keywords/kidney-transplant","display_name":"Kidney transplant","score":0.4165027439594269},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41598251461982727},{"id":"https://openalex.org/keywords/kidney-transplantation","display_name":"Kidney transplantation","score":0.32654401659965515},{"id":"https://openalex.org/keywords/transplantation","display_name":"Transplantation","score":0.31884336471557617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22827646136283875},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07795453071594238}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7658918499946594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942996382713318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378747224807739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5968444347381592},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5762630105018616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5294475555419922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5106952786445618},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4558067321777344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44134989380836487},{"id":"https://openalex.org/C2994498544","wikidata":"https://www.wikidata.org/wiki/Q740909","display_name":"Kidney transplant","level":4,"score":0.4165027439594269},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41598251461982727},{"id":"https://openalex.org/C2780303639","wikidata":"https://www.wikidata.org/wiki/Q740909","display_name":"Kidney transplantation","level":3,"score":0.32654401659965515},{"id":"https://openalex.org/C2911091166","wikidata":"https://www.wikidata.org/wiki/Q106419912","display_name":"Transplantation","level":2,"score":0.31884336471557617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22827646136283875},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07795453071594238},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.1457","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.1457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/076.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1492998137","https://openalex.org/W1515850699","https://openalex.org/W1574330558","https://openalex.org/W1843850429","https://openalex.org/W1991113069","https://openalex.org/W1994939702","https://openalex.org/W2041273609","https://openalex.org/W2120668470","https://openalex.org/W2125201914","https://openalex.org/W2150559991","https://openalex.org/W2799061466"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W1522196789","https://openalex.org/W2961162011","https://openalex.org/W3154551543","https://openalex.org/W2954953365"],"abstract_inverted_index":{"Acute":[0],"rejection":[1,30],"is":[2,16,40,46,59,71,82,137],"the":[3,20,47,57,110,139,142,153,164,200,203],"most":[4],"common":[5],"reason":[6],"of":[7,26,41,64,141,166,202],"graft":[8],"failure":[9],"after":[10],"kidney":[11,22,58,76,188],"transplantation,":[12],"and":[13,28,126,193],"early":[14],"detection":[15],"crucial":[17],"to":[18,108,118,151,180,198],"survive":[19],"transplanted":[21],"function.":[23],"Automatic":[24],"classification":[25],"normal":[27],"acute":[29],"transplants":[31],"from":[32,103],"dynamic":[33],"contrast":[34],"enhanced":[35],"magnetic":[36],"resonance":[37],"imaging":[38],"(DCEMRI),":[39],"great":[42],"importance.":[43],"Kidney":[44],"segmentation":[45,93],"first":[48],"step":[49],"for":[50,186],"such":[51],"classification.":[52],"The":[53,122,134,170],"image":[54,125],"intensity":[55],"inside":[56],"used":[60,117,150],"as":[61],"an":[62],"indication":[63],"failure/success.":[65],"Differentiating":[66],"between":[67],"different":[68,104,167],"cases":[69,70],"implemented":[72],"by":[73],"comparing":[74],"subsequential":[75],"scans":[77],"signals.":[78],"So,":[79],"this":[80],"process":[81],"mainly":[83],"dependent":[84],"on":[85,96],"segmentation.":[86],"This":[87],"paper":[88],"introduces":[89],"a":[90,131,157],"new":[91],"shape-based":[92],"approach":[94,143,171],"based":[95],"level":[97],"sets.":[98],"Training":[99],"shapes":[100],"are":[101,116],"collected":[102],"real":[105],"data":[106],"sets":[107],"represent":[109,119],"shape":[111,127,135,159],"variations.":[112],"Signed":[113],"distance":[114],"functions":[115],"these":[120],"shapes.":[121],"methodology":[123],"incorporates":[124],"prior":[128],"information":[129],"in":[130],"variational":[132],"framework.":[133],"registration":[136],"considered":[138],"backbone":[140],"where":[144],"more":[145],"general":[146],"transformations":[147,181],"can":[148],"be":[149,191],"handle":[152],"process.":[154],"We":[155],"introduce":[156],"novel":[158],"dissimilarity":[160],"measure":[161],"that":[162],"enables":[163],"use":[165],"(inhomogeneous)":[168],"scales.":[169,184],"gives":[172],"successful":[173],"results":[174],"compared":[175,194],"with":[176,182,195],"other":[177,196],"techniques":[178],"restricted":[179],"homogeneous":[183],"Results":[185],"segmenting":[187],"images":[189],"will":[190],"illustrated":[192],"approaches":[197],"show":[199],"efficiency":[201],"proposed":[204],"technique.":[205]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
