{"id":"https://openalex.org/W2805306510","doi":"https://doi.org/10.1109/isbi.2018.8363542","title":"InfiNet: Fully convolutional networks for infant brain MRI segmentation","display_name":"InfiNet: Fully convolutional networks for infant brain MRI segmentation","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805306510","doi":"https://doi.org/10.1109/isbi.2018.8363542","mag":"2805306510"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363542","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.05735","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103808474","display_name":"Shubham Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shubham Kumar","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056241875","display_name":"Sailesh Conjeti","orcid":"https://orcid.org/0000-0003-3442-0225"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sailesh Conjeti","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101502724","display_name":"Abhijit Guha Roy","orcid":"https://orcid.org/0000-0001-7221-468X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abhijit Guha Roy","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069195910","display_name":"Christian Wachinger","orcid":"https://orcid.org/0000-0002-3652-1874"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Wachinger","raw_affiliation_strings":["KJP, Artificial Intelligence in Medical Imaging (AI-Med), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KJP, Artificial Intelligence in Medical Imaging (AI-Med), Munich, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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":0.996999979019165,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322498559951782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155372858047485},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5759900808334351},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5470359325408936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3977021872997284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322498559951782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155372858047485},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5759900808334351},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5470359325408936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977021872997284}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2018.8363542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363542","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:1810.05735","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.05735","pdf_url":"https://arxiv.org/pdf/1810.05735","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":"pmh:oai:pub.dzne.de:145089","is_oa":false,"landing_page_url":"https://pub.dzne.de/record/145089","pdf_url":null,"source":{"id":"https://openalex.org/S7407051172","display_name":"DZNE Pub","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE 145-148 (2018). doi:10.1109/ISBI.2018.8363542","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.05735","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.05735","pdf_url":"https://arxiv.org/pdf/1810.05735","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1999240723","https://openalex.org/W2082526668","https://openalex.org/W2120167205","https://openalex.org/W2589647984","https://openalex.org/W2594438516","https://openalex.org/W2611197392","https://openalex.org/W2734349601","https://openalex.org/W2962914239","https://openalex.org/W2963881378","https://openalex.org/W2963884380","https://openalex.org/W4298051281","https://openalex.org/W4298131645","https://openalex.org/W4301044540","https://openalex.org/W4308909683","https://openalex.org/W6639780620","https://openalex.org/W6639824700","https://openalex.org/W6734216672","https://openalex.org/W6740984670"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,53],"novel,":[3],"parameter-efficient":[4],"and":[5,46,122,159,170],"practical":[6],"fully":[7],"convolutional":[8],"neural":[9],"network":[10],"architecture,":[11],"termed":[12],"InfiNet,":[13],"aimed":[14],"at":[15,24],"voxel-wise":[16],"semantic":[17],"segmentation":[18,34,154],"of":[19,40,64,93,95],"infant":[20],"brain":[21],"MRI":[22],"images":[23],"iso-intense":[25],"stage,":[26],"which":[27,71,143],"can":[28],"be":[29],"easily":[30],"extended":[31],"for":[32,44,138,146],"other":[33],"tasks":[35],"involving":[36],"multi-modalities.":[37],"InfiNet":[38,65,132,150],"consists":[39],"double":[41],"encoder":[42,82,97,118],"arms":[43],"T1":[45],"T2":[47],"input":[48,77],"scans":[49],"that":[50,56],"feed":[51],"into":[52],"joint-decoder":[54],"arm":[55],"terminates":[57],"in":[58,67,70,89,155],"the":[59,68,72,85,90,96,102,139,152],"classification":[60],"layer.":[61],"The":[62,111],"novelty":[63],"lies":[66],"manner":[69],"decoder":[73,104],"upsamples":[74],"lower":[75],"resolution":[76],"feature":[78,130],"map(s)":[79],"from":[80],"multiple":[81,165],"arms.":[83],"Specifically,":[84],"pooled":[86],"indices":[87],"computed":[88],"max-pooling":[91],"layers":[92],"each":[94],"blocks":[98],"are":[99,114],"related":[100],"to":[101,106,127,136],"corresponding":[103],"block":[105],"perform":[107],"non-linear":[108],"learning-free":[109],"upsampling.":[110],"sparse":[112],"maps":[113],"concatenated":[115],"with":[116,124],"intermediate":[117],"representations":[119],"(skip":[120],"connections)":[121],"convolved":[123],"trainable":[125],"filters":[126],"produce":[128],"dense":[129],"maps.":[131],"is":[133,144],"trained":[134],"end-to-end":[135],"optimize":[137],"Generalized":[140],"Dice":[141],"Loss,":[142],"well-suited":[145],"high":[147],"class":[148],"imbalance.":[149],"achieves":[151],"whole-volume":[153],"under":[156],"50":[157],"seconds":[158],"we":[160],"demonstrate":[161],"competitive":[162],"performance":[163],"against":[164],"state-of-the":[166],"art":[167],"deep":[168],"architectures":[169],"their":[171],"multi-modal":[172],"variants.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}