{"id":"https://openalex.org/W2145827096","doi":"https://doi.org/10.1109/isbi.2011.5872406","title":"Image fusion for following-up brain tumor evolution","display_name":"Image fusion for following-up brain tumor evolution","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2145827096","doi":"https://doi.org/10.1109/isbi.2011.5872406","mag":"2145827096"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5037212091","display_name":"Su Ruan","orcid":"https://orcid.org/0000-0001-8785-6917"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Su Ruan","raw_affiliation_strings":["LITIS-Quantif, Universit\u00e9 de Rouen, Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS-Quantif, Universit\u00e9 de Rouen, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641136","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0002-7122-7996"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["CNRS UMR 5220, Inserm U630, INSA de Lyon, CREATIS, Lyon, France","Department of Electronic Engineering, Tsinghua University, Beijing, China","LITIS-Quantif, Universit\u00e9 de Rouen, Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 5220, Inserm U630, INSA de Lyon, CREATIS, Lyon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I4210138704","https://openalex.org/I48430043"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"LITIS-Quantif, Universit\u00e9 de Rouen, Rouen, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111663001","display_name":"Qingmin Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605235","display_name":"Yuemin Zhu","orcid":"https://orcid.org/0000-0001-6814-1449"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yuemin Zhu","raw_affiliation_strings":["CNRS UMR 5220, Inserm U630, INSA de Lyon, CREATIS, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 5220, Inserm U630, INSA de Lyon, CREATIS, Lyon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I4210138704","https://openalex.org/I48430043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9934999942779541,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7116119265556335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6906254887580872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692776679992676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6677501201629639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6163269281387329},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5629485845565796},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5258415341377258},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5099614858627319},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49993371963500977},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44319796562194824},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4118924140930176}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7116119265556335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6906254887580872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692776679992676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6677501201629639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6163269281387329},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5629485845565796},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5258415341377258},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5099614858627319},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49993371963500977},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44319796562194824},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4118924140930176},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1493036841","https://openalex.org/W1592785605","https://openalex.org/W1981653086","https://openalex.org/W1985155898","https://openalex.org/W1989085442","https://openalex.org/W2082453965","https://openalex.org/W2108710077","https://openalex.org/W2118386984","https://openalex.org/W2136943418","https://openalex.org/W2140095548","https://openalex.org/W2148694408","https://openalex.org/W2153635508","https://openalex.org/W4285719527","https://openalex.org/W4400644238","https://openalex.org/W6635383313","https://openalex.org/W6680356667","https://openalex.org/W6776535907"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,33,133],"feature-selection-based":[4],"data":[5,22,28],"fusion":[6,25,114],"method":[7,36],"to":[8,31,37,43,136],"follow":[9],"up":[10],"the":[11,39,75,82,87,102,105,110,113,116,138],"evolution":[12],"of":[13,26,53,74,101,112,120],"brain":[14],"tumors":[15],"under":[16],"therapeutic":[17,139],"treatments":[18],"with":[19],"multi-spectral":[20],"MRI":[21,27,58,84],"sequences.":[23],"The":[24,72,98],"is":[29,77],"proposed":[30],"use":[32],"feature":[34,65,90,117],"selection":[35,91],"choose":[38],"most":[40],"important":[41],"features":[42],"classify":[44],"tumor":[45,76],"tissues":[46],"and":[47,69,104],"non-tumor":[48],"tissues.":[49],"Our":[50],"system":[51,130],"consists":[52],"three":[54,122],"steps":[55],"for":[56],"each":[57],"examination":[59,61,85],"(one":[60],"per":[62],"four":[63],"months):":[64],"selection,":[66],"SVM-based":[67],"segmentation,":[68],"contour":[70],"refinement.":[71],"training":[73],"carried":[78],"out":[79],"only":[80],"on":[81],"first":[83],"(before":[86],"treatment).":[88],"Six":[89],"methods":[92],"are":[93],"tested":[94],"in":[95],"our":[96,129],"system.":[97],"quantitative":[99],"comparisons":[100],"methods'":[103],"expert's":[106],"manual":[107],"traces":[108],"demonstrate":[109],"effectiveness":[111],"by":[115],"selection.":[118],"Results":[119],"following-up":[121],"patients":[123],"over":[124],"one":[125],"year":[126],"show":[127],"that":[128],"can":[131],"provide":[132],"good":[134],"tool":[135],"evaluate":[137],"treatment.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}