{"id":"https://openalex.org/W3112042655","doi":"https://doi.org/10.1109/ipta50016.2020.9286658","title":"A Time-Dependent Joint Segmentation and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences","display_name":"A Time-Dependent Joint Segmentation and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3112042655","doi":"https://doi.org/10.1109/ipta50016.2020.9286658","mag":"3112042655"},"language":"en","primary_location":{"id":"doi:10.1109/ipta50016.2020.9286658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"preprint","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/A5044481058","display_name":"No\u00e9mie Debroux","orcid":"https://orcid.org/0000-0002-5329-5485"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Noemie Debroux","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I4210123221","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015524024","display_name":"Guillaume Lienemann","orcid":"https://orcid.org/0009-0004-1032-7557"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Lienemann","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I4210123221","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085499805","display_name":"Beno\u00eet Magnin","orcid":"https://orcid.org/0000-0002-4246-5688"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Magnin","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I4210123221","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I1294671590"]}]},{"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/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Carole Le Guyader","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I4210123221","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070742303","display_name":"Antoine Vacavant","orcid":"https://orcid.org/0000-0001-9616-3282"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Vacavant","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I4210123221","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43149778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9959999918937683,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9916999936103821,"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":0.5765463709831238},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5602771043777466},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49976038932800293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4763795733451843},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4455629885196686},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4427054524421692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3622162938117981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34443721175193787},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3298838138580322},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.287561297416687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5765463709831238},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5602771043777466},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49976038932800293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4763795733451843},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4455629885196686},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4427054524421692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3622162938117981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34443721175193787},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3298838138580322},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.287561297416687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta50016.2020.9286658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3502665876","display_name":"Robust vascular network extraction and understanding within hepatic biomedical images","funder_award_id":"ANR-18-CE45-0018","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1537639429","https://openalex.org/W1692193044","https://openalex.org/W1968941901","https://openalex.org/W1974897477","https://openalex.org/W1990804363","https://openalex.org/W2010115470","https://openalex.org/W2032316144","https://openalex.org/W2037316890","https://openalex.org/W2076629172","https://openalex.org/W2077079080","https://openalex.org/W2080179319","https://openalex.org/W2114487471","https://openalex.org/W2129759040","https://openalex.org/W2138835141","https://openalex.org/W2141383192","https://openalex.org/W2529646902","https://openalex.org/W2547269439","https://openalex.org/W2571726372","https://openalex.org/W2615556113","https://openalex.org/W2624881194","https://openalex.org/W2795823403","https://openalex.org/W2898504672","https://openalex.org/W2950948854","https://openalex.org/W3031769985","https://openalex.org/W3211330693","https://openalex.org/W4300029058","https://openalex.org/W6642323857","https://openalex.org/W6670007850","https://openalex.org/W6729454801","https://openalex.org/W6778556595"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W3125889879","https://openalex.org/W2113201962","https://openalex.org/W1522196789"],"abstract_inverted_index":{"While":[0],"segmentation":[1],"consists":[2],"in":[3,11,39,46,63,118,178],"partitioning":[4],"a":[5,54,110,162,182,186,197,232],"given":[6,24],"image":[7,41],"into":[8,42,53],"meaningful":[9],"constituents":[10],"order":[12,179],"to":[13,59,147,153,180,236,246],"identify":[14],"relevant":[15],"structures":[16,37],"such":[17],"as":[18,158],"homogeneous":[19],"regions":[20],"or":[21],"edges,":[22],"registration,":[23],"two":[25],"images,":[26],"aims":[27],"at":[28],"finding":[29],"an":[30,40,148,263],"optimal":[31],"orientationpreserving":[32],"one-to-one":[33],"deformation":[34,195],"aligning":[35],"the":[36,43,47,70,81,119,124,133,141,145,190,194,200,214,218,224,229,237,247,267],"visible":[38],"corresponding":[44],"ones":[45],"other.":[48],"Recently,":[49],"intertwining":[50],"both":[51,127,136,185],"tasks":[52,137],"single":[55],"framework":[56],"has":[57,262],"proven":[58],"yield":[60],"better":[61],"results":[62,212],"terms":[64],"of":[65,78,80,165,193,217,226,231,250,270],"accuracy":[66],"-in":[67],"particular":[68],"when":[69],"images":[71],"exhibit":[72],"weak":[73,233],"boundary":[74],"definition":[75],"-and":[76],"increase":[77],"reliability":[79],"encoded":[82],"structure":[83,205],"matching":[84,206],"-since":[85],"now,":[86],"not":[87],"only":[88],"based":[89],"on":[90,96,266],"intensity":[91,209],"distribution":[92],"comparison":[93],"but":[94],"also":[95],"geometrical":[97],"and":[98,129,168,196,228,256],"topological":[99],"features":[100],"-.":[101],"In":[102],"line":[103],"with":[104],"this":[105],"idea,":[106],"we":[107],"propose":[108],"going":[109],"step":[111],"further":[112],"by":[113,122,172],"adding":[114],"explicitly":[115],"some":[116],"dynamics":[117],"modelling,":[120],"i.e.,":[121],"making":[123],"minimization":[125],"problem":[126,146],"space":[128],"time-dependent":[130],"so":[131],"that":[132],"correlation":[134],"between":[135],"is":[138,243],"achieved":[139],"through":[140],"process,":[142],"connecting":[143],"thus":[144,203],"interpolation":[149],"one.":[150],"The":[151,241],"shapes":[152],"be":[154],"matched":[155],"are":[156,169,176,220],"viewed":[157],"Saint":[159],"Venant-Kirchhoff":[160],"materials,":[161],"special":[163],"instance":[164],"hyperelastic":[166],"ones,":[167],"implicitly":[170],"modelled":[171],"level-set":[173],"functions.":[174],"These":[175],"evolved":[177],"minimize":[181],"functional":[183],"including":[184],"nonlinear-elasticity-based":[187],"regularizer":[188],"prescribing":[189],"physical":[191],"nature":[192],"term":[198],"penalizing":[199],"shape":[201],"misalignment,":[202],"promoting":[204],"rather":[207],"than":[208],"pairing.":[210],"Theoretical":[211],"emphasizing":[213],"mathematical":[215],"soundness":[216],"model":[219,242],"provided,":[221],"among":[222],"which":[223],"existence":[225,230],"minimizers":[227],"viscosity":[234],"solution":[235],"related":[238],"evolution":[239],"problem.":[240],"then":[244],"applied":[245],"longitudinal":[248],"registration":[249],"hepatic":[251],"dynamic":[252],"contrast-enhanced":[253],"MRI":[254],"sequences":[255],"shows":[257],"good":[258],"performance.":[259],"This":[260],"application":[261],"important":[264],"impact":[265],"computer-aided":[268],"follow-up":[269],"patients":[271],"suffering":[272],"from":[273],"liver":[274],"cancers.":[275]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
