{"id":"https://openalex.org/W3161849131","doi":"https://doi.org/10.1109/isbi48211.2021.9434088","title":"A Geometrically-Constrained Deep Network For Ct Image Segmentation","display_name":"A Geometrically-Constrained Deep Network For Ct Image Segmentation","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3161849131","doi":"https://doi.org/10.1109/isbi48211.2021.9434088","mag":"3161849131"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03197905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083557091","display_name":"Zo\u00e9 Lambert","orcid":"https://orcid.org/0000-0003-1680-3716"},"institutions":[{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques Blaise Pascal","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I4392021175","display_name":"Laboratoire de Math\u00e9matiques de l'INSA de Rouen","ror":"https://ror.org/009rwsd77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210105918","https://openalex.org/I4392021175","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Zoe Lambert","raw_affiliation_strings":["Normandie Univ, INSA Rouen, LMI, Rouen, France","LMI - Laboratoire de Math\u00e9matiques de l'INSA de Rouen Normandie (685 Avenue de l'Universit\u00e9, BP 8, 76801 Saint-\u00c9tienne-du-Rouvray Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Normandie Univ, INSA Rouen, LMI, Rouen, France","institution_ids":["https://openalex.org/I88814501","https://openalex.org/I62396329","https://openalex.org/I4210105918"]},{"raw_affiliation_string":"LMI - Laboratoire de Math\u00e9matiques de l'INSA de Rouen Normandie (685 Avenue de l'Universit\u00e9, BP 8, 76801 Saint-\u00c9tienne-du-Rouvray Cedex - France)","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210155549","https://openalex.org/I88814501","https://openalex.org/I4392021175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018848158","display_name":"Carole Le Guyader","orcid":"https://orcid.org/0000-0003-2192-6630"},"institutions":[{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4392021175","display_name":"Laboratoire de Math\u00e9matiques de l'INSA de Rouen","ror":"https://ror.org/009rwsd77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210105918","https://openalex.org/I4392021175","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques Blaise Pascal","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Carole Le Guyader","raw_affiliation_strings":["Normandie Univ, INSA Rouen, LMI, Rouen, France","LMI - Laboratoire de Math\u00e9matiques de l'INSA de Rouen Normandie (685 Avenue de l'Universit\u00e9, BP 8, 76801 Saint-\u00c9tienne-du-Rouvray Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Normandie Univ, INSA Rouen, LMI, Rouen, France","institution_ids":["https://openalex.org/I88814501","https://openalex.org/I62396329","https://openalex.org/I4210105918"]},{"raw_affiliation_string":"LMI - Laboratoire de Math\u00e9matiques de l'INSA de Rouen Normandie (685 Avenue de l'Universit\u00e9, BP 8, 76801 Saint-\u00c9tienne-du-Rouvray Cedex - France)","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210155549","https://openalex.org/I88814501","https://openalex.org/I4392021175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010409710","display_name":"Caroline Petitjean","orcid":"https://orcid.org/0000-0003-0013-5370"},"institutions":[{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Caroline Petitjean","raw_affiliation_strings":["Universit\u00e9 de Rouen Normandie, LITIS, Saint-Etienne-du-Rouvray Cedex, France","DocApp - LITIS - Equipe Apprentissage (France)","QuantIF-LITIS - Equipe Quantification en Imagerie Fonctionnelle (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Rouen Normandie, LITIS, Saint-Etienne-du-Rouvray Cedex, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]},{"raw_affiliation_string":"DocApp - LITIS - Equipe Apprentissage (France)","institution_ids":["https://openalex.org/I4210108118"]},{"raw_affiliation_string":"QuantIF-LITIS - Equipe Quantification en Imagerie Fonctionnelle (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083557091"],"corresponding_institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I4210155549","https://openalex.org/I4392021175","https://openalex.org/I62396329","https://openalex.org/I88814501"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63830065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.5850518345832825},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5613404512405396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363909006118774},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5228427052497864},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5147287845611572},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.48499342799186707},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4814533591270447},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48015064001083374},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4799107015132904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32648593187332153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5850518345832825},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5613404512405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363909006118774},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5228427052497864},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5147287845611572},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.48499342799186707},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4814533591270447},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48015064001083374},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4799107015132904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32648593187332153},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03197905v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03197905","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":"IEEE International Symposium on Biomedical Imaging, Apr 2021, Nice (virtuel), France. &#x27E8;10.1109/ISBI48211.2021.9434088&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03197905v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03197905","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":"IEEE International Symposium on Biomedical Imaging, Apr 2021, Nice (virtuel), France. &#x27E8;10.1109/ISBI48211.2021.9434088&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1808966389","https://openalex.org/W1901129140","https://openalex.org/W1946620893","https://openalex.org/W2045079045","https://openalex.org/W2065464270","https://openalex.org/W2114487471","https://openalex.org/W2142064545","https://openalex.org/W2162606802","https://openalex.org/W2164278908","https://openalex.org/W2560946873","https://openalex.org/W2976295171","https://openalex.org/W3042302007","https://openalex.org/W3103562302","https://openalex.org/W3110521338","https://openalex.org/W3113231417","https://openalex.org/W4292363360","https://openalex.org/W6639824700","https://openalex.org/W6730484666","https://openalex.org/W6771363005"],"related_works":["https://openalex.org/W1964872188","https://openalex.org/W2187391117","https://openalex.org/W1981809986","https://openalex.org/W2949367465","https://openalex.org/W2587048717","https://openalex.org/W4235203617","https://openalex.org/W2006359264","https://openalex.org/W3029201158","https://openalex.org/W4794847","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Incorporating":[0],"prior":[1],"knowledge":[2],"into":[3],"a":[4,70,98,111,128,145],"segmentation":[5,156],"process,":[6],"whether":[7],"it":[8],"be":[9],"geometrical":[10,57,77],"constraints":[11,58,78],"such":[12],"as":[13,97],"volume":[14],"penalisation,":[15],"(partial)":[16],"convexity":[17],"enforcement,":[18],"or":[19],"topological":[20],"prescriptions":[21],"to":[22,30,55,143],"preserve":[23],"the":[24,41,51,60,67,73,88,102,114,119,152,163],"contextual":[25],"relations":[26],"between":[27],"objects,":[28],"proves":[29],"improve":[31],"accuracy":[32],"in":[33,37,59,66,72,101,157,162],"medical":[34],"image":[35],"segmentation,":[36],"particular":[38],"when":[39],"addressing":[40],"issue":[42],"of":[43,62,69,113,154,165],"weak":[44],"boundary":[45],"definition.":[46],"Motivated":[47],"by":[48],"this":[49],"observation,":[50],"proposed":[52],"contribution":[53],"aims":[54],"include":[56],"training":[61],"convolutional":[63],"neural":[64],"networks":[65],"form":[68],"penalty":[71],"loss":[74,117],"function.":[75],"These":[76],"take":[79],"several":[80],"forms":[81],"and":[82,104,140],"encompass":[83],"level":[84],"curve":[85],"alignment":[86],"through":[87],"weighted":[89],"total":[90],"variation":[91],"component,":[92],"an":[93,105],"area":[94],"penalisation":[95],"phrased":[96],"hard":[99],"constraint":[100],"modelling,":[103],"intensity":[106],"homogeneity":[107],"criterion":[108],"based":[109],"on":[110],"combination":[112],"standard":[115],"Dice":[116],"with":[118],"piecewise":[120],"constant":[121],"Mumford-Shah":[122],"model.":[123],"The":[124,148],"mathematical":[125],"formulation":[126],"yields":[127],"non-smooth":[129],"non-convex":[130],"optimisation":[131,138],"problem,":[132],"which":[133],"rules":[134],"out":[135],"conventional":[136],"smooth":[137],"techniques":[139],"leads":[141],"us":[142],"adopt":[144],"Lagrangian":[146],"setting.":[147],"application":[149],"falls":[150],"within":[151],"scope":[153],"organ-at-risk":[155],"CT":[158],"(Computed":[159],"Tomography)":[160],"images,":[161],"context":[164],"radiotherapy":[166],"planning.":[167],"Experiments":[168],"demonstrate":[169],"that":[170],"our":[171],"method":[172],"provides":[173],"significant":[174],"improvements":[175],"over":[176],"existing":[177],"non-constrained":[178],"approaches.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
