{"id":"https://openalex.org/W2793351617","doi":"https://doi.org/10.1109/icip.2017.8297117","title":"From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning","display_name":"From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer learning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2793351617","doi":"https://doi.org/10.1109/icip.2017.8297117","mag":"2793351617"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.univ-reims.fr/hal-01735727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082564408","display_name":"Yongchao Xu","orcid":"https://orcid.org/0000-0002-7253-3151"},"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yongchao Xu","raw_affiliation_strings":["EPITA Research and Development Laboratory, Le Kremlin-Bic\u00eatre, France","LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"EPITA Research and Development Laboratory, Le Kremlin-Bic\u00eatre, France","institution_ids":["https://openalex.org/I4210138808"]},{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068813606","display_name":"Thierry G\u00e9raud","orcid":"https://orcid.org/0000-0002-0380-7948"},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Geraud","raw_affiliation_strings":["EPITA Research and Development Laboratory, Le Kremlin-Bic\u00eatre, France"],"affiliations":[{"raw_affiliation_string":"EPITA Research and Development Laboratory, Le Kremlin-Bic\u00eatre, France","institution_ids":["https://openalex.org/I4210138808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088407901","display_name":"Isabelle Bloch","orcid":"https://orcid.org/0000-0002-6984-1532"},"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/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Bloch","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082564408"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210138808","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":2.0935,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.92832401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4417","last_page":"4421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9979000091552734,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167496085166931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573565006256104},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6472631692886353},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6258258819580078},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5264357328414917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5086530447006226},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5042327642440796},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49211376905441284},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42674148082733154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38607513904571533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167496085166931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573565006256104},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6472631692886353},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6258258819580078},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5264357328414917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5086530447006226},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5042327642440796},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49211376905441284},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42674148082733154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38607513904571533}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8297117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01735727v1","is_oa":true,"landing_page_url":"https://hal.univ-reims.fr/hal-01735727","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/8297117/authors#authors","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01735727v1","is_oa":true,"landing_page_url":"https://hal.univ-reims.fr/hal-01735727","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/8297117/authors#authors","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W274818618","https://openalex.org/W317170363","https://openalex.org/W1570613334","https://openalex.org/W1686810756","https://openalex.org/W1794121648","https://openalex.org/W1903029394","https://openalex.org/W1915761309","https://openalex.org/W1942576506","https://openalex.org/W1992537691","https://openalex.org/W1999240723","https://openalex.org/W2000686291","https://openalex.org/W2028158228","https://openalex.org/W2046105679","https://openalex.org/W2046985712","https://openalex.org/W2067065405","https://openalex.org/W2082526668","https://openalex.org/W2112796928","https://openalex.org/W2155541015","https://openalex.org/W2160754664","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2332066482","https://openalex.org/W2345010043","https://openalex.org/W2441649867","https://openalex.org/W2513326255","https://openalex.org/W2518214538","https://openalex.org/W2526019331","https://openalex.org/W2527587234","https://openalex.org/W2534128614","https://openalex.org/W2962835968","https://openalex.org/W3098547059","https://openalex.org/W3104258355","https://openalex.org/W3105950366","https://openalex.org/W4294375521","https://openalex.org/W6637373629","https://openalex.org/W6650519421","https://openalex.org/W6682778277"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3103566983","https://openalex.org/W3135818718","https://openalex.org/W4290188444"],"abstract_inverted_index":{"Brain":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(MRI)":[4],"is":[5,39,94,112,159],"widely":[6],"used":[7],"to":[8,15,41,44,76,116,130,167],"assess":[9],"brain":[10,35,60,173],"development":[11],"in":[12,23],"neonates":[13],"and":[14,71,104,171],"diagnose":[16],"a":[17,53,101,106,132],"wide":[18],"range":[19],"of":[20,33,134,155],"neurological":[21],"diseases":[22],"adults.":[24],"Such":[25],"studies":[26],"are":[27,128],"usually":[28],"based":[29],"on":[30,84,88,146,179],"quantitative":[31],"analysis":[32],"different":[34,64],"tissues,":[36],"so":[37],"it":[38,98],"essential":[40],"be":[42],"able":[43],"classify":[45],"them":[46],"accurately.":[47],"In":[48,114],"this":[49,158],"paper,":[50],"we":[51],"propose":[52],"fast":[54],"automatic":[55],"method":[56,93,162,186],"that":[57,81,163,184],"segments":[58],"3D":[59,90,119,174],"MR":[61,175],"images":[62],"into":[63,121],"tissues":[65],"using":[66],"fully":[67,89],"convolutional":[68],"network":[69],"(FCN)":[70],"transfer":[72,165],"learning.":[73],"As":[74],"compared":[75],"existing":[77],"deep":[78],"learning-based":[79],"approaches":[80],"rely":[82],"either":[83],"2D":[85,126,135],"patches":[86],"or":[87,110],"FCN,":[91],"our":[92,156,185],"way":[95],"much":[96],"faster:":[97],"only":[99,105],"takes":[100],"few":[102],"seconds,":[103],"single":[107],"modality":[108],"(T1":[109],"T2)":[111],"required.":[113],"order":[115],"take":[117],"the":[118,143,153,160],"information":[120],"account,":[122],"all":[123],"3":[124],"successive":[125],"slices":[127],"stacked":[129],"form":[131],"set":[133],"\u201ccolor\u201d":[136],"images,":[137],"which":[138],"serve":[139],"as":[140],"input":[141],"for":[142,148],"FCN":[144],"pre-trained":[145],"ImageNet":[147],"natural":[149],"image":[150],"classification.":[151],"To":[152],"best":[154],"knowledge,":[157],"first":[161],"applies":[164],"learning":[166],"segment":[168],"both":[169],"neonatal":[170],"adult":[172],"images.":[176],"Our":[177],"experiments":[178],"two":[180],"public":[181],"datasets":[182],"show":[183],"achieves":[187],"state-of-the-art":[188],"results.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
