{"id":"https://openalex.org/W3011614160","doi":"https://doi.org/10.1117/12.2548303","title":"Topology-aware activation layer for neural network image segmentation","display_name":"Topology-aware activation layer for neural network image segmentation","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3011614160","doi":"https://doi.org/10.1117/12.2548303","mag":"3011614160"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548303","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","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/A5103191238","display_name":"John S. H. Baxter","orcid":"https://orcid.org/0000-0003-3548-4343"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"John S. H. Baxter","raw_affiliation_strings":["Univ. Rennes, INSERM, LTSI (France)","LTSI - Laboratoire Traitement du Signal et de l'Image (Campus Universitaire de Beaulieu - B\u00e2t 22 - 35042 Rennes - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Rennes, INSERM, LTSI (France)","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I154526488","https://openalex.org/I4210105651"]},{"raw_affiliation_string":"LTSI - Laboratoire Traitement du Signal et de l'Image (Campus Universitaire de Beaulieu - B\u00e2t 22 - 35042 Rennes - France)","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029098035","display_name":"Pierre Jannin","orcid":"https://orcid.org/0000-0002-7415-071X"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Jannin","raw_affiliation_strings":["Univ. Rennes, INSERM, LTSI (France)","LTSI - Laboratoire Traitement du Signal et de l'Image (Campus Universitaire de Beaulieu - B\u00e2t 22 - 35042 Rennes - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Rennes, INSERM, LTSI (France)","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I154526488","https://openalex.org/I4210105651"]},{"raw_affiliation_string":"LTSI - Laboratoire Traitement du Signal et de l'Image (Campus Universitaire de Beaulieu - B\u00e2t 22 - 35042 Rennes - France)","institution_ids":["https://openalex.org/I4210105651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9526000022888184,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9526000022888184,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9204000234603882,"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":0.699576199054718},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5954895615577698},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5880070924758911},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.581184446811676},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5664167404174805},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.530036449432373},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4884583055973053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48370200395584106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.483195424079895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37654587626457214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37226158380508423},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29007723927497864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14375081658363342},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1083480715751648},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07484018802642822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699576199054718},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5954895615577698},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5880070924758911},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.581184446811676},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5664167404174805},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.530036449432373},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4884583055973053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48370200395584106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.483195424079895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37654587626457214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37226158380508423},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29007723927497864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14375081658363342},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1083480715751648},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07484018802642822},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2548303","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03001770v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03001770","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 Imaging 2020: Image Processing, Feb 2020, Houston, United States. pp.2548303, ⟨10.1117/12.2548303⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1988224651","https://openalex.org/W2560916850","https://openalex.org/W1522196789"],"abstract_inverted_index":{"One":[0],"of":[1,32,58,91,143,159,180,192],"the":[2,9,28,37,55,71,89,95,100,105,141,149,171,178,186,190,193,201],"recent":[3],"developments":[4],"in":[5,36,62,94,184,224],"deep":[6,14,79],"learning":[7],"is":[8],"ability":[10],"to":[11,27,42,99,140,210],"train":[12],"extremely":[13],"residual":[15,21],"neural":[16,202],"networks,":[17],"knowing":[18],"that":[19,219],"each":[20],"block":[22],"produces":[23],"only":[24],"marginal":[25,127],"changes":[26,34],"data.":[29],"The":[30],"accumulation":[31],"these":[33,64],"result":[35],"network\u2019s":[38],"improved":[39],"performance,":[40],"analogous":[41],"a":[43,111,117,157,213],"complex":[44],"but":[45],"trainable":[46],"iterative":[47,65],"algorithm.":[48],"This":[49,108],"intuition":[50],"can":[51,152],"be":[52,153],"merged":[53],"with":[54,86,122,138],"underlying":[56,72],"theory":[57],"probabilistic":[59,73,197],"graphical":[60],"models":[61,82],"which":[63,115,131],"algorithms":[66],"are":[67],"common":[68],"and":[69,74,162,168,212],"share":[70],"information":[75],"theoretic":[76],"basis":[77],"as":[78],"learning.":[80],"Prior":[81],"have":[83],"been":[84],"proposed":[85],"limitations":[87],"on":[88],"number":[90,142],"iterations":[92],"allowed":[93],"solution":[96],"algorithm":[97,130],"due":[98],"linear":[101],"memory":[102,137],"growth":[103],"during":[104],"training":[106],"process.":[107],"paper":[109],"presents":[110],"structured":[112],"activation":[113,147,208,216],"layer":[114,175],"implements":[116],"conditional":[118],"random":[119],"field":[120],"along":[121],"an":[123],"arbitrary":[124],"iteration":[125],"message-passing":[126],"probability":[128],"estimation":[129],"requires":[132],"constant,":[133],"rather":[134],"than":[135],"linear,":[136],"respect":[139],"iterations.":[144],"In":[145],"this":[146,174,207],"layer,":[148],"segmentation":[150,225],"labels":[151],"specified":[154],"hierarchically,":[155],"incorporating":[156],"level":[158],"abstract":[160,181],"structure":[161],"some":[163],"basic":[164],"geometrical":[165],"knowledge":[166,182],"directly":[167],"easily":[169],"into":[170],"network.":[172,203],"Thus,":[173],"allows":[176],"for":[177],"separation":[179],"brought":[183],"by":[185,200],"network":[187],"designer":[188],"(in":[189],"form":[191],"hierarchical":[194],"structure)":[195],"from":[196],"priors":[198],"learned":[199],"Preliminary":[204],"results":[205],"comparing":[206],"function":[209,217],"softmax":[211],"similar":[214],"non-hierarchical":[215],"indicate":[218],"it":[220],"significantly":[221],"improves":[222],"performance":[223],"problems.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}