{"id":"https://openalex.org/W2797058862","doi":"https://doi.org/10.1109/isbi.2018.8363652","title":"Towards integrating spatial localization in convolutional neural networks for brain image segmentation","display_name":"Towards integrating spatial localization in convolutional neural networks for brain image segmentation","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2797058862","doi":"https://doi.org/10.1109/isbi.2018.8363652","mag":"2797058862"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.04563","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035100350","display_name":"Pierre-Antoine Ganaye","orcid":"https://orcid.org/0000-0003-3126-3412"},"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/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"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"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre-Antoine Ganaye","raw_affiliation_strings":["INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France"],"affiliations":[{"raw_affiliation_string":"INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I4210138704","https://openalex.org/I154526488","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084306262","display_name":"Micha\u00ebl Sdika","orcid":"https://orcid.org/0000-0002-3129-6874"},"institutions":[{"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/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michael Sdika","raw_affiliation_strings":["INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France"],"affiliations":[{"raw_affiliation_string":"INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I4210138704","https://openalex.org/I154526488","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104272651","display_name":"Hugues Benoit-Cattin","orcid":null},"institutions":[{"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/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/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugues Benoit-Cattin","raw_affiliation_strings":["INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France"],"affiliations":[{"raw_affiliation_string":"INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, Lyon, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Univ. Lyon, INSA-Lyon, Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I4210138704","https://openalex.org/I154526488","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035100350"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I4210138704"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0283105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"621","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8372718095779419},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8015547394752502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7748410701751709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7371731400489807},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6381019949913025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.579177975654602},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5599784255027771},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5067458748817444},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4901793599128723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3731648325920105},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08208340406417847}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8372718095779419},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8015547394752502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7748410701751709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7371731400489807},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6381019949913025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.579177975654602},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5599784255027771},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5067458748817444},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4901793599128723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3731648325920105},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08208340406417847},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi.2018.8363652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.04563","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04563","pdf_url":"https://arxiv.org/pdf/1804.04563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2797058862","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1804.04563v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-01812045v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01812045","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Apr 2018, Washington, United States. ⟨10.1109/ISBI.2018.8363652⟩","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.1804.04563","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.04563","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.04563","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04563","pdf_url":"https://arxiv.org/pdf/1804.04563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1489942343","https://openalex.org/W1901129140","https://openalex.org/W1910109443","https://openalex.org/W2007146250","https://openalex.org/W2018662705","https://openalex.org/W2052644075","https://openalex.org/W2095705004","https://openalex.org/W2136478937","https://openalex.org/W2170500377","https://openalex.org/W2181833534","https://openalex.org/W2332066482","https://openalex.org/W2412782625","https://openalex.org/W2542911914","https://openalex.org/W2611197392","https://openalex.org/W2949314557","https://openalex.org/W2952584647","https://openalex.org/W4235770099","https://openalex.org/W6623445213","https://openalex.org/W6715287400"],"related_works":["https://openalex.org/W2964290592","https://openalex.org/W3017982944","https://openalex.org/W3174240041","https://openalex.org/W2962291057","https://openalex.org/W3013608007","https://openalex.org/W3111109107","https://openalex.org/W2890419922","https://openalex.org/W3160328791","https://openalex.org/W2560107300","https://openalex.org/W2975641008","https://openalex.org/W2980207657","https://openalex.org/W2963730812","https://openalex.org/W2903110538","https://openalex.org/W2580496779","https://openalex.org/W3128849209","https://openalex.org/W2477630714","https://openalex.org/W2906074946","https://openalex.org/W2950906573","https://openalex.org/W2914853931","https://openalex.org/W2944102657"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,19,116],"is":[2],"an":[3],"established":[4],"while":[5],"rapidly":[6],"evolving":[7],"field":[8],"in":[9],"medical":[10],"imaging.":[11],"In":[12,50],"this":[13,51],"paper":[14],"we":[15,53],"focus":[16],"on":[17],"the":[18,46,62,90,100],"of":[20,78,102],"brain":[21],"Magnetic":[22],"Resonance":[23],"Images":[24],"(MRI)":[25],"into":[26,61],"cerebral":[27],"structures":[28],"using":[29,110],"convolutional":[30],"neural":[31],"networks":[32],"(CNN).":[33],"CNNs":[34],"achieve":[35],"good":[36],"performance":[37],"by":[38],"finding":[39],"effective":[40],"high":[41],"dimensional":[42],"image":[43],"features":[44],"describing":[45],"patch":[47,70],"content":[48],"only.":[49],"work,":[52],"propose":[54],"different":[55],"ways":[56],"to":[57,64,81,95,114],"introduce":[58],"spatial":[59,111],"constraints":[60,86],"network":[63],"further":[65],"reduce":[66,115],"prediction":[67],"inconsistencies.":[68,117],"A":[69],"based":[71],"CNN":[72,91],"architecture":[73],"was":[74],"trained,":[75],"making":[76],"use":[77],"multiple":[79],"scales":[80],"gather":[82],"contextual":[83],"information.":[84],"Spatial":[85],"were":[87],"introduced":[88],"within":[89],"through":[92,99],"a":[93,103],"distance":[94],"landmarks":[96],"feature":[97],"or":[98],"integration":[101],"probability":[104],"atlas.":[105],"We":[106],"demonstrate":[107],"experimentally":[108],"that":[109],"information":[112],"helps":[113]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}