{"id":"https://openalex.org/W2922043809","doi":"https://doi.org/10.1117/12.2512372","title":"Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease","display_name":"Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease","publication_year":2019,"publication_date":"2019-03-13","ids":{"openalex":"https://openalex.org/W2922043809","doi":"https://doi.org/10.1117/12.2512372","mag":"2922043809"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512372","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512372","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","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/A5075338951","display_name":"Yaozong Gao","orcid":"https://orcid.org/0000-0002-7547-5209"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaozong Gao","raw_affiliation_strings":["Shanghai United Imaging Intelligence (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence (China)","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053191139","display_name":"Yiyi Ma","orcid":"https://orcid.org/0000-0002-0772-957X"},"institutions":[{"id":"https://openalex.org/I4210099558","display_name":"Shanghai Changzheng Hospital","ror":"https://ror.org/0103dxn66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi Ma","raw_affiliation_strings":["Shanghai Changzheng Hospital (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Changzheng Hospital (China)","institution_ids":["https://openalex.org/I4210099558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072242712","display_name":"Guangrui Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrui Mu","raw_affiliation_strings":["Shanghai United Imaging Intelligence (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence (China)","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112512473","display_name":"Miaofei Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaofei Han","raw_affiliation_strings":["Shanghai United Imaging Intelligence (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence (China)","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826377","display_name":"Yiqiang Zhan","orcid":"https://orcid.org/0000-0001-5815-9725"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Zhan","raw_affiliation_strings":["Shanghai United Imaging Intelligence (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence (China)","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103008068","display_name":"Xiang Sean Zhou","orcid":"https://orcid.org/0000-0002-4907-249X"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhou","raw_affiliation_strings":["Shanghai United Imaging Intelligence (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence (China)","institution_ids":["https://openalex.org/I4210135459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075338951"],"corresponding_institution_ids":["https://openalex.org/I4210135459"],"apc_list":null,"apc_paid":null,"fwci":1.2502,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8106648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9351","issue":null,"first_page":"32","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11412","display_name":"Genetic and Kidney Cyst Diseases","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11412","display_name":"Genetic and Kidney Cyst Diseases","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11174","display_name":"Pediatric Urology and Nephrology Studies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/autosomal-dominant-polycystic-kidney-disease","display_name":"Autosomal dominant polycystic kidney disease","score":0.8650434017181396},{"id":"https://openalex.org/keywords/contouring","display_name":"Contouring","score":0.6896030902862549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315641403198242},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5960338711738586},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5899226069450378},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.45792728662490845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43384772539138794},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.4154052734375},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41493749618530273},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35329920053482056},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.27242812514305115},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09662830829620361}],"concepts":[{"id":"https://openalex.org/C2776266639","wikidata":"https://www.wikidata.org/wiki/Q2732398","display_name":"Autosomal dominant polycystic kidney disease","level":3,"score":0.8650434017181396},{"id":"https://openalex.org/C2779104521","wikidata":"https://www.wikidata.org/wiki/Q23058469","display_name":"Contouring","level":2,"score":0.6896030902862549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315641403198242},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5960338711738586},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5899226069450378},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.45792728662490845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43384772539138794},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.4154052734375},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41493749618530273},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35329920053482056},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.27242812514305115},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09662830829620361},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512372","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512372","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1966087562","https://openalex.org/W1998186676","https://openalex.org/W2049803723","https://openalex.org/W2055919784","https://openalex.org/W2101067234","https://openalex.org/W2143990369","https://openalex.org/W2619925024","https://openalex.org/W2884561390","https://openalex.org/W6639824700","https://openalex.org/W6718240422","https://openalex.org/W6742348326"],"related_works":["https://openalex.org/W2028761375","https://openalex.org/W2915337797","https://openalex.org/W2360204191","https://openalex.org/W2968335000","https://openalex.org/W2044363672","https://openalex.org/W2073091389","https://openalex.org/W2045558343","https://openalex.org/W4315646535","https://openalex.org/W1968493577","https://openalex.org/W2092852603"],"abstract_inverted_index":{"Measurement":[0],"of":[1,15,46,52,69,88,189,206,216,223],"total":[2],"kidney":[3,19,150,190],"volume":[4,191],"(TKV)":[5],"plays":[6],"an":[7,26,39],"important":[8],"role":[9],"in":[10,54,71,129,142],"the":[11,32,43,47,66,130,136,139,143,149,173,181,187,203,214,221],"early":[12],"therapeutic":[13],"stage":[14],"autosomal":[16],"dominant":[17],"polycystic":[18],"disease":[20,33,204],"(ADPKD).":[21],"As":[22],"a":[23,78,100,177],"crucial":[24],"biomarker,":[25],"accurate":[27,123],"TKV":[28,70],"can":[29,133,146,165,184,200],"sensitively":[30],"reflect":[31],"progression":[34],"and":[35,98,160,219],"be":[36],"used":[37],"as":[38],"indicator":[40],"to":[41,84,112,195],"evaluate":[42],"curative":[44],"effect":[45],"drug.":[48],"However,":[49],"manual":[50],"contouring":[51],"kidneys":[53,87],"magnetic":[55],"resonance":[56],"(MR)":[57],"images":[58],"is":[59,110],"time-consuming":[60],"(40":[61],"minutes),":[62],"which":[63,199],"greatly":[64,201],"hinders":[65],"wide":[67],"adoption":[68],"clinic.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"propose":[77],"multi-resolution":[79],"3D":[80],"convolutional":[81],"neural":[82],"network":[83,161],"automatically":[85],"segment":[86],"ADPKD":[89,207],"patients":[90,208],"from":[91,192],"MR":[92],"images.":[93],"We":[94],"adopt":[95],"two":[96],"resolutions":[97],"use":[99],"customized":[101],"V-Net":[102,108,127],"model":[103,109,128,141],"for":[104,122,209],"both":[105,114],"resolutions.":[106],"The":[107,126],"able":[111],"integrate":[113],"high-level":[115],"context":[116],"information":[117,121],"with":[118,156,172],"detailed":[119],"local":[120],"organ":[124],"segmentation.":[125],"coarse":[131],"resolution":[132,145],"robustly":[134],"localize":[135],"kidneys,":[137],"while":[138],"VNet":[140],"fine":[144],"accurately":[147],"refine":[148],"boundaries.":[151],"Validated":[152],"on":[153],"305":[154],"subjects":[155],"different":[157],"loss":[158],"functions":[159],"architectures,":[162],"our":[163],"method":[164,183],"achieve":[166],"over":[167],"95%":[168],"Dice":[169],"similarity":[170],"coefficient":[171],"groundtruth":[174],"labeled":[175],"by":[176],"senior":[178],"physician.":[179],"Moreover,":[180],"proposed":[182],"dramatically":[185],"reduce":[186,220],"measurement":[188],"40":[193],"minutes":[194],"about":[196],"1":[197],"second,":[198],"accelerate":[202],"staging":[205],"large":[210],"clinical":[211],"trials,":[212],"promote":[213],"development":[215],"related":[217],"drugs,":[218],"burden":[222],"physicians.":[224]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
