{"id":"https://openalex.org/W3130002437","doi":"https://doi.org/10.1109/isbi48211.2021.9433854","title":"3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri","display_name":"3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3130002437","doi":"https://doi.org/10.1109/isbi48211.2021.9433854","mag":"3130002437"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","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/A5024025086","display_name":"L\u00e9o Milecki","orcid":"https://orcid.org/0000-0001-5536-8839"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4387152683","display_name":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","ror":"https://ror.org/03q29s414","country_code":null,"type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4387152683"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Leo Milecki","raw_affiliation_strings":["Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e9mes, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Inria Saclay, France","Universit\u00e9 Paris-Saclay","OPtimisation Imagerie et Sant\u00e9","CentraleSup\u00e9lec","Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e9mes, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Inria Saclay, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I277688954"]},{"raw_affiliation_string":"OPtimisation Imagerie et Sant\u00e9","institution_ids":[]},{"raw_affiliation_string":"CentraleSup\u00e9lec","institution_ids":["https://openalex.org/I4210107720"]},{"raw_affiliation_string":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","institution_ids":["https://openalex.org/I4210102957","https://openalex.org/I4387152683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006065638","display_name":"Sylvain Bodard","orcid":"https://orcid.org/0000-0001-5381-3361"},"institutions":[{"id":"https://openalex.org/I1288880153","display_name":"H\u00f4pital Necker-Enfants Malades","ror":"https://ror.org/05tr67282","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I1288880153","https://openalex.org/I4210097159","https://openalex.org/I4210120235"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvain Bodard","raw_affiliation_strings":["Paris University and Necker University Hospital, France","Service de radiologie [CHU Necker]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris University and Necker University Hospital, France","institution_ids":["https://openalex.org/I1288880153"]},{"raw_affiliation_string":"Service de radiologie [CHU Necker]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016183913","display_name":"Jean-Michel Corr\u00e9as","orcid":"https://orcid.org/0000-0002-8596-4145"},"institutions":[{"id":"https://openalex.org/I1288880153","display_name":"H\u00f4pital Necker-Enfants Malades","ror":"https://ror.org/05tr67282","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I1288880153","https://openalex.org/I4210097159","https://openalex.org/I4210120235"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Correas","raw_affiliation_strings":["Paris University and Necker University Hospital, France","Service de radiologie [CHU Necker]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris University and Necker University Hospital, France","institution_ids":["https://openalex.org/I1288880153"]},{"raw_affiliation_string":"Service de radiologie [CHU Necker]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111628479","display_name":"Marc\u2010Olivier Timsit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102325","display_name":"H\u00f4pital Europ\u00e9en Georges-Pompidou","ror":"https://ror.org/016vx5156","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210102325","https://openalex.org/I4210120235"]},{"id":"https://openalex.org/I4210109141","display_name":"H\u00f4pital Europ\u00e9en","ror":"https://ror.org/01tfhsg94","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210109141"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc-Olivier Timsit","raw_affiliation_strings":["Paris University and H\u00f4pital Europ\u00e9en Georges-Pompidou, France","H\u00f4pital Europ\u00e9en Georges Pompidou [APHP]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris University and H\u00f4pital Europ\u00e9en Georges-Pompidou, France","institution_ids":["https://openalex.org/I4210102325"]},{"raw_affiliation_string":"H\u00f4pital Europ\u00e9en Georges Pompidou [APHP]","institution_ids":["https://openalex.org/I4210109141","https://openalex.org/I4210102325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106466395","display_name":"Maria Vakalopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4387152683","display_name":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","ror":"https://ror.org/03q29s414","country_code":null,"type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4387152683"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maria Vakalopoulou","raw_affiliation_strings":["Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e9mes, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Inria Saclay, France","OPtimisation Imagerie et Sant\u00e9","Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","CentraleSup\u00e9lec","Universit\u00e9 Paris-Saclay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e9mes, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Inria Saclay, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"OPtimisation Imagerie et Sant\u00e9","institution_ids":[]},{"raw_affiliation_string":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","institution_ids":["https://openalex.org/I4210102957","https://openalex.org/I4387152683"]},{"raw_affiliation_string":"CentraleSup\u00e9lec","institution_ids":["https://openalex.org/I4210107720"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0673,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78435832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1781","last_page":"1785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9939000010490417,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9939000010490417,"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":0.9891999959945679,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9872000217437744,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.78409743309021},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7744134664535522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488329410552979},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6226612329483032},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6142376065254211},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5673802495002747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5563783645629883},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5273357629776001},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4480764865875244},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41232171654701233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11477795243263245}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.78409743309021},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7744134664535522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488329410552979},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6226612329483032},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6142376065254211},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5673802495002747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5563783645629883},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5273357629776001},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4480764865875244},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41232171654701233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11477795243263245},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1989117065","https://openalex.org/W2005712075","https://openalex.org/W2089838091","https://openalex.org/W2096889852","https://openalex.org/W2112344083","https://openalex.org/W2162184232","https://openalex.org/W2408095914","https://openalex.org/W2410737049","https://openalex.org/W2551642709","https://openalex.org/W2884235242","https://openalex.org/W2900422713","https://openalex.org/W2900954917","https://openalex.org/W2964020844","https://openalex.org/W2982733030","https://openalex.org/W3042615550","https://openalex.org/W3099193570","https://openalex.org/W3105282616"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,32,73,94,108],"is":[2,54,79,97],"one":[3,35],"of":[4,17,26,36,45,74,81,87,90,144,151,155,159,165],"the":[5,15,27,37,42,72,85,88,93,110,119,125],"most":[6],"popular":[7],"problems":[8],"in":[9,56,118],"medical":[10,57],"image":[11],"analysis.":[12],"Recently,":[13],"with":[14],"success":[16],"deep":[18,69],"neural":[19],"networks,":[20],"these":[21],"powerful":[22],"methods":[23],"provide":[24,104],"state":[25],"art":[28],"performance":[29],"on":[30,41,68,161],"various":[31],"tasks.":[33],"However,":[34],"main":[38],"challenges":[39],"relies":[40],"high":[43],"number":[44],"annotations":[46],"that":[47,96],"they":[48],"need":[49,111],"to":[50,103,122,169],"be":[51],"trained,":[52],"which":[53],"crucial":[55],"applications.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"an":[64,100],"unsupervised":[65],"method":[66,78,140],"based":[67],"learning":[70],"for":[71,112],"kidney":[75,106,156,171],"grafts.":[76],"Our":[77,139],"composed":[80],"two":[82],"different":[83],"stages,":[84],"detection":[86],"area":[89],"interest":[91],"and":[92,128,135,153],"model":[95],"able,":[98],"through":[99],"iterative":[101],"process,":[102],"accurate":[105],"draft":[107],"without":[109],"annotations.":[113],"The":[114],"proposed":[115],"framework":[116],"works":[117],"3D":[120],"space":[121],"explore":[123],"all":[124],"available":[126],"information":[127],"extract":[129],"meaningful":[130],"representations":[131],"from":[132],"Dynamic":[133],"Contrast-Enhanced":[134],"T2":[136],"MRI":[137],"sequences.":[138],"reports":[141],"a":[142,162,170],"dice":[143],"89.8\u00b13.1%,":[145],"Hausdorff":[146],"distance":[147],"at":[148],"percentile":[149],"95%":[150],"5.8\u00b10.4lmm":[152],"percentage":[154],"volume":[157],"difference":[158],"5.9\u00b15.7%":[160],"test":[163],"dataset":[164],"29":[166],"patients":[167],"subject":[168],"transplant.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
