{"id":"https://openalex.org/W4224989005","doi":"https://doi.org/10.1109/isbi52829.2022.9761422","title":"A Deep Residual Learning Implementation of Metamorphosis","display_name":"A Deep Residual Learning Implementation of Metamorphosis","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224989005","doi":"https://doi.org/10.1109/isbi52829.2022.9761422"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761422","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2202.00676","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084657828","display_name":"Matthis Maillard","orcid":null},"institutions":[{"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/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Matthis Maillard","raw_affiliation_strings":["Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023038285","display_name":"Anton Fran\u00e7ois","orcid":null},"institutions":[{"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/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anton Francois","raw_affiliation_strings":["Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034360501","display_name":"Joan Glaun\u00e8s","orcid":"https://orcid.org/0000-0002-4963-9396"},"institutions":[{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joan Glaunes","raw_affiliation_strings":["Universit&#x00E9; de Paris,MAP5,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Paris,MAP5,France","institution_ids":["https://openalex.org/I4387154995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088407901","display_name":"Isabelle Bloch","orcid":"https://orcid.org/0000-0002-6984-1532"},"institutions":[{"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/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Bloch","raw_affiliation_strings":["Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103276787","display_name":"Pietro Gori","orcid":"https://orcid.org/0000-0003-3456-8529"},"institutions":[{"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/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pietro Gori","raw_affiliation_strings":["Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,Paris,France","institution_ids":["https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084657828"],"corresponding_institution_ids":["https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.5315,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74219194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10862","display_name":"AI in cancer detection","score":0.9980000257492065,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7280163764953613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140510082244873},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7031053304672241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6763773560523987},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6081604957580566},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6023946404457092},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5530133247375488},{"id":"https://openalex.org/keywords/diffeomorphism","display_name":"Diffeomorphism","score":0.5470930933952332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4711935520172119},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4355366826057434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4240090250968933},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41565656661987305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27083832025527954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15386787056922913}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7280163764953613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140510082244873},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7031053304672241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6763773560523987},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6081604957580566},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6023946404457092},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5530133247375488},{"id":"https://openalex.org/C47556283","wikidata":"https://www.wikidata.org/wiki/Q1058314","display_name":"Diffeomorphism","level":2,"score":0.5470930933952332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4711935520172119},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4355366826057434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4240090250968933},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41565656661987305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27083832025527954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15386787056922913},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761422","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2202.00676","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00676","pdf_url":"https://arxiv.org/pdf/2202.00676","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":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03552709v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-03552709","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":"IEEE ISBI 2022, Mar 2022, Kolkata, India","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2202.00676","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2202.00676","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:2202.00676","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00676","pdf_url":"https://arxiv.org/pdf/2202.00676","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W2037316890","https://openalex.org/W2065967476","https://openalex.org/W2074745044","https://openalex.org/W2123983635","https://openalex.org/W2142658473","https://openalex.org/W2150534249","https://openalex.org/W2155298532","https://openalex.org/W2170167891","https://openalex.org/W2189317234","https://openalex.org/W2194775991","https://openalex.org/W2766956330","https://openalex.org/W2891631795","https://openalex.org/W2914320392","https://openalex.org/W2947179935","https://openalex.org/W2980127179","https://openalex.org/W3132403896","https://openalex.org/W3170098260"],"related_works":["https://openalex.org/W4386794506","https://openalex.org/W2962984814","https://openalex.org/W4293508317","https://openalex.org/W3104281043","https://openalex.org/W2075372083","https://openalex.org/W2891397405","https://openalex.org/W2462155254","https://openalex.org/W4212817163","https://openalex.org/W3217798761","https://openalex.org/W4384920019"],"abstract_inverted_index":{"In":[0],"medical":[1,33],"imaging,":[2],"most":[3],"of":[4,37,61,93,116,119,157],"the":[5,15,27,47,56,59,67,73,98,108,117,143,155],"image":[6,63],"registration":[7],"methods":[8,153],"implicitly":[9],"assume":[10],"a":[11,38,88],"one-to-one":[12],"correspondence":[13],"between":[14],"source":[16],"and":[17,58,69,77,135],"target":[18],"images":[19,34,158],"(i.e.,":[20],"diffeomorphism).":[21],"However,":[22,72],"this":[23,45],"is":[24],"not":[25],"necessarily":[26],"case":[28],"when":[29],"dealing":[30],"with":[31,44,66,159],"pathological":[32],"(e.g.,":[35,122],"presence":[36],"tumor,":[39],"lesion,":[40],"etc.).":[41],"To":[42],"cope":[43],"issue,":[46],"Metamorphosis":[48,94],"model":[49],"has":[50],"been":[51],"proposed.":[52],"It":[53],"modifies":[54],"both":[55],"shape":[57,136],"appearance":[60,134],"an":[62],"to":[64,131],"deal":[65],"geometrical":[68],"topological":[70,120],"differences.":[71],"high":[74],"computational":[75,99],"time":[76,100],"load":[78],"have":[79],"hampered":[80],"its":[81],"applications":[82],"so":[83],"far.":[84],"Here,":[85],"we":[86,104],"propose":[87],"deep":[89],"residual":[90],"learning":[91],"implementation":[92],"that":[95,107,125,148],"drastically":[96],"reduces":[97],"at":[101],"inference.":[102],"Furthermore,":[103],"also":[105],"show":[106],"proposed":[109],"framework":[110],"can":[111,126],"easily":[112],"integrate":[113],"prior":[114],"knowledge":[115],"localization":[118],"changes":[121],"segmentation":[123],"masks)":[124],"act":[127],"as":[128],"spatial":[129],"regularization":[130],"correctly":[132],"disentangle":[133],"changes.":[137],"We":[138],"test":[139],"our":[140],"method":[141],"on":[142],"BraTS":[144],"2021":[145],"dataset,":[146],"showing":[147],"it":[149],"outperforms":[150],"current":[151],"state-of-the-art":[152],"in":[154],"alignment":[156],"brain":[160],"tumors.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2022-05-05T00:00:00"}
