{"id":"https://openalex.org/W3007130352","doi":"https://doi.org/10.1016/j.media.2020.101651","title":"Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints","display_name":"Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3007130352","doi":"https://doi.org/10.1016/j.media.2020.101651","mag":"3007130352","pmid":"https://pubmed.ncbi.nlm.nih.gov/32163879"},"language":"en","primary_location":{"id":"doi:10.1016/j.media.2020.101651","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2020.101651","pdf_url":"https://www.sciencedirect.com/science/article/am/pii/S1361841520300189?via%3Dihub","source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.sciencedirect.com/science/article/am/pii/S1361841520300189?via%3Dihub","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040163671","display_name":"L\u00e9onie Borne","orcid":"https://orcid.org/0000-0002-1577-0257"},"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/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"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/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4405260000","display_name":"Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields","ror":"https://ror.org/0327z0p26","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4405260000"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"L\u00e9onie Borne","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France. Electronic address: leonie.borne@gmail.com","BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France. Electronic address: leonie.borne@gmail.com","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I4405260000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072376874","display_name":"Denis Rivi\u00e8re","orcid":"https://orcid.org/0000-0002-1902-2213"},"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/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"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/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4405260000","display_name":"Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields","ror":"https://ror.org/0327z0p26","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4405260000"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Denis Rivi\u00e8re","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France","BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I4405260000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030883106","display_name":"Martial Mancip","orcid":null},"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/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Martial Mancip","raw_affiliation_strings":["Maison de la Simulation, CNRS, CEA Saclay, Gif-sur-Yvette, 91191, France","MDLS - Maison de la Simulation (USR 3441 b\u00e2t. 565 CEA Saclay 91191 Gif-sur-Yvette cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maison de la Simulation, CNRS, CEA Saclay, Gif-sur-Yvette, 91191, France","institution_ids":["https://openalex.org/I4210125654","https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"MDLS - Maison de la Simulation (USR 3441 b\u00e2t. 565 CEA Saclay 91191 Gif-sur-Yvette cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I4210125654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035699131","display_name":"Jean\u2010Fran\u00e7ois Mangin","orcid":"https://orcid.org/0000-0002-1612-461X"},"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/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"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/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4405260000","display_name":"Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields","ror":"https://ror.org/0327z0p26","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4405260000"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Fran\u00e7ois Mangin","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France","BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, 91191, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BAOBAB - Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565","https://openalex.org/I4405260000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040163671"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565","https://openalex.org/I4405260000"],"apc_list":{"value":3970,"currency":"USD","value_usd":3970},"apc_paid":{"value":3970,"currency":"USD","value_usd":3970},"fwci":5.0038,"has_fulltext":true,"cited_by_count":95,"citation_normalized_percentile":{"value":0.96352078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"101651","last_page":"101651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9865000247955322,"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":0.7469860315322876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462074756622314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.696006178855896},{"id":"https://openalex.org/keywords/sulcus","display_name":"Sulcus","score":0.6161624789237976},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.5871411561965942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5449047088623047},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5377455353736877},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07620614767074585}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7469860315322876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462074756622314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.696006178855896},{"id":"https://openalex.org/C2777132076","wikidata":"https://www.wikidata.org/wiki/Q2560248","display_name":"Sulcus","level":2,"score":0.6161624789237976},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.5871411561965942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5449047088623047},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5377455353736877},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07620614767074585},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1016/j.media.2020.101651","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2020.101651","pdf_url":"https://www.sciencedirect.com/science/article/am/pii/S1361841520300189?via%3Dihub","source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},{"id":"pmid:32163879","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32163879","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical image analysis","raw_type":null},{"id":"pmh:oai:HAL:hal-02517321v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02517321","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Medical Image Analysis, 2020, 62, pp.101651. ⟨10.1016/j.media.2020.101651⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/j.media.2020.101651","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2020.101651","pdf_url":"https://www.sciencedirect.com/science/article/am/pii/S1361841520300189?via%3Dihub","source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1095062678","display_name":"The Human Brain Project","funder_award_id":"604102","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1163571418","display_name":null,"funder_award_id":"HBP SGA1","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G398560324","display_name":"Human Brain Project Specific Grant Agreement 1","funder_award_id":"720270","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5673166571","display_name":null,"funder_award_id":"720270","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"},{"id":"https://openalex.org/G5766349579","display_name":"Human Brain Project Specific Grant Agreement 2","funder_award_id":"785907","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G865724299","display_name":null,"funder_award_id":"604102","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"},{"id":"https://openalex.org/G8681506169","display_name":null,"funder_award_id":"HBP SGA2","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8923109021","display_name":null,"funder_award_id":"785907","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323911","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55"},{"id":"https://openalex.org/F4320329099","display_name":"Medical Device Innovation Center","ror":null},{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007130352.pdf","grobid_xml":"https://content.openalex.org/works/W3007130352.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W158947647","https://openalex.org/W196093984","https://openalex.org/W199356795","https://openalex.org/W989272091","https://openalex.org/W1519423976","https://openalex.org/W1539026776","https://openalex.org/W1576278180","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1976949207","https://openalex.org/W1989085630","https://openalex.org/W1993120651","https://openalex.org/W1999832023","https://openalex.org/W2000732749","https://openalex.org/W2003189001","https://openalex.org/W2010587020","https://openalex.org/W2016381774","https://openalex.org/W2027137820","https://openalex.org/W2044069866","https://openalex.org/W2049247209","https://openalex.org/W2083624955","https://openalex.org/W2085487226","https://openalex.org/W2095705004","https://openalex.org/W2101234009","https://openalex.org/W2110065044","https://openalex.org/W2111783137","https://openalex.org/W2114428992","https://openalex.org/W2114740909","https://openalex.org/W2138803897","https://openalex.org/W2141796362","https://openalex.org/W2151130155","https://openalex.org/W2167510172","https://openalex.org/W2196111060","https://openalex.org/W2432481613","https://openalex.org/W2464708700","https://openalex.org/W2505631898","https://openalex.org/W2521587260","https://openalex.org/W2556879144","https://openalex.org/W2604272474","https://openalex.org/W2607932615","https://openalex.org/W2617753185","https://openalex.org/W2801099543","https://openalex.org/W2890348258","https://openalex.org/W2899771611","https://openalex.org/W2914484425","https://openalex.org/W2950519955","https://openalex.org/W2951839332","https://openalex.org/W3025159219","https://openalex.org/W3028709346","https://openalex.org/W3162476164","https://openalex.org/W3203927719","https://openalex.org/W4234552385","https://openalex.org/W4253570578","https://openalex.org/W4300501940","https://openalex.org/W6607956215","https://openalex.org/W6608160752","https://openalex.org/W6630950426","https://openalex.org/W6632481028","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6647581467","https://openalex.org/W6651075418","https://openalex.org/W6662860747","https://openalex.org/W6674330103","https://openalex.org/W6675354045","https://openalex.org/W6684372118","https://openalex.org/W6718240422","https://openalex.org/W6724844907","https://openalex.org/W6754814575","https://openalex.org/W6756040250","https://openalex.org/W6759638512","https://openalex.org/W6855473029"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W4393677513","https://openalex.org/W4390832911","https://openalex.org/W829257147","https://openalex.org/W4385302116","https://openalex.org/W3081389670","https://openalex.org/W4376127261"],"abstract_inverted_index":{"The":[0],"extreme":[1],"variability":[2,129],"of":[3,7,14,25,127,152,193,224],"the":[4,8,12,26,79,84,95,172,190,194,200,204,225,231,236,240],"folding":[5],"pattern":[6,195],"human":[9,27],"cortex":[10],"makes":[11,56],"recognition":[13,91,196,252],"cortical":[15,28],"sulci,":[16],"both":[17],"automatic":[18],"and":[19,36,60,62,108,149],"manual,":[20],"particularly":[21],"challenging.":[22],"Reliable":[23],"identification":[24],"sulci":[29,46],"in":[30,83,94],"its":[31],"entirety,":[32],"is":[33,37],"extremely":[34],"difficult":[35],"practiced":[38],"by":[39,171],"only":[40],"a":[41,51,87,134,181,216,244,254],"few":[42,255],"experts.":[43],"Moreover,":[44],"these":[45,139,162],"correspond":[47],"to":[48,66,70,77,160,179,185],"more":[49],"than":[50,130],"hundred":[52],"different":[53],"structures,":[54],"which":[55,219,248],"manual":[57],"labeling":[58],"long":[59],"fastidious":[61],"therefore":[63],"limits":[64],"access":[65],"large":[67],"labeled":[68],"databases":[69],"train":[71],"machine":[72],"learning.":[73],"Here,":[74],"we":[75,158,210],"seek":[76],"improve":[78],"current":[80,237],"model":[81],"proposed":[82,233],"Morphologist":[85,173,238],"toolbox,":[86],"widely":[88],"used":[89],"sulcus":[90,155,183,251],"toolbox":[92],"included":[93],"BrainVISA":[96],"package.":[97],"Two":[98],"novel":[99],"approaches":[100,131,163],"are":[101,115,177],"proposed:":[102],"patch-based":[103],"multi-atlas":[104],"segmentation":[105],"(MAS)":[106],"techniques":[107],"convolutional":[109],"neural":[110],"network":[111],"(CNN)-based":[112],"approaches.":[113],"Both":[114],"currently":[116],"applied":[117],"for":[118,154],"anatomical":[119],"segmentations":[120],"because":[121],"they":[122],"embed":[123],"much":[124],"better":[125],"representations":[126],"inter-subject":[128],"based":[132],"on":[133,143],"single":[135,182],"template":[136],"atlas.":[137],"However,":[138],"methods":[140],"typically":[141],"focus":[142],"voxel-wise":[144],"labeling,":[145],"disregarding":[146],"certain":[147],"geometrical":[148],"topological":[150],"properties":[151],"interest":[153],"morphometry.":[156],"Therefore,":[157],"propose":[159],"refine":[161],"with":[164,203],"domain":[165],"specific":[166],"bottom-up":[167],"geometric":[168],"constraints":[169,176],"provided":[170],"toolbox.":[174],"These":[175],"utilized":[178],"provide":[180],"label":[184],"each":[186],"topologically":[187],"elementary":[188,208,226],"fold,":[189],"building":[191],"blocks":[192],"problem.":[197],"To":[198],"eliminate":[199],"shortcomings":[201],"associated":[202],"Morphologist's":[205],"pre-segmentation":[206],"into":[207],"folds,":[209],"complement":[211],"this":[212],"regularization":[213],"scheme":[214],"using":[215],"top-down":[217],"perspective":[218],"triggers":[220],"an":[221],"additional":[222],"cleavage":[223],"folds":[227],"when":[228],"required.":[229],"All":[230],"newly":[232],"models":[234],"outperform":[235],"model,":[239],"most":[241],"efficient":[242],"being":[243],"CNN":[245],"U-Net-based":[246],"approach":[247],"carries":[249],"out":[250],"within":[253],"seconds.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}