{"id":"https://openalex.org/W4205170336","doi":"https://doi.org/10.1109/ismr48346.2021.9661511","title":"Model-to-Image Registration via Deep Learning towards Image-Guided Endovascular Interventions","display_name":"Model-to-Image Registration via Deep Learning towards Image-Guided Endovascular Interventions","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4205170336","doi":"https://doi.org/10.1109/ismr48346.2021.9661511"},"language":"en","primary_location":{"id":"doi:10.1109/ismr48346.2021.9661511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismr48346.2021.9661511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Medical Robotics (ISMR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11311/1203618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101886659","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0001-6959-7608"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["IT","NL"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands","Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055109532","display_name":"Maria Elisabetta Mancini","orcid":"https://orcid.org/0000-0002-9117-8466"},"institutions":[{"id":"https://openalex.org/I4210089474","display_name":"Centro Cardiologico Monzino","ror":"https://ror.org/006pq9r08","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210089474","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Elisabetta Mancini","raw_affiliation_strings":["Centro Cardiologico Monzino, IRCCS, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Cardiologico Monzino, IRCCS, Milan, Italy","institution_ids":["https://openalex.org/I4210089474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082495863","display_name":"Giovanni Monizzi","orcid":"https://orcid.org/0000-0001-5131-5596"},"institutions":[{"id":"https://openalex.org/I4210089474","display_name":"Centro Cardiologico Monzino","ror":"https://ror.org/006pq9r08","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210089474","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Monizzi","raw_affiliation_strings":["Centro Cardiologico Monzino, IRCCS, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Cardiologico Monzino, IRCCS, Milan, Italy","institution_ids":["https://openalex.org/I4210089474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000029547","display_name":"Daniele Andreini","orcid":"https://orcid.org/0000-0002-5996-9209"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]},{"id":"https://openalex.org/I4210089474","display_name":"Centro Cardiologico Monzino","ror":"https://ror.org/006pq9r08","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210089474","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Andreini","raw_affiliation_strings":["Centro Cardiologico Monzino, IRCCS, Milan, Italy","Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Cardiologico Monzino, IRCCS, Milan, Italy","institution_ids":["https://openalex.org/I4210089474"]},{"raw_affiliation_string":"Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045080493","display_name":"Giancarlo Ferrigno","orcid":"https://orcid.org/0000-0001-5913-9451"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Ferrigno","raw_affiliation_strings":["Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068143444","display_name":"Jenny Dankelman","orcid":"https://orcid.org/0000-0003-3951-2129"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jenny Dankelman","raw_affiliation_strings":["Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083795699","display_name":"Elena De Momi","orcid":"https://orcid.org/0000-0002-8819-2734"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elena De Momi","raw_affiliation_strings":["Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Information and Bioengineering (DEIB), NearLab, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10983","display_name":"Aortic aneurysm repair treatments","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9930999875068665,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7419236898422241},{"id":"https://openalex.org/keywords/digital-subtraction-angiography","display_name":"Digital subtraction angiography","score":0.6570331454277039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205683946609497},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6106187701225281},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5956478118896484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5420591831207275},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5302108526229858},{"id":"https://openalex.org/keywords/fluoroscopy","display_name":"Fluoroscopy","score":0.5037941336631775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47686347365379333},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4487966299057007},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.43490633368492126},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3198242783546448},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.27210256457328796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2690843343734741},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2581501007080078}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7419236898422241},{"id":"https://openalex.org/C2778286760","wikidata":"https://www.wikidata.org/wiki/Q1224954","display_name":"Digital subtraction angiography","level":3,"score":0.6570331454277039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205683946609497},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6106187701225281},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5956478118896484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5420591831207275},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5302108526229858},{"id":"https://openalex.org/C2776805002","wikidata":"https://www.wikidata.org/wiki/Q614984","display_name":"Fluoroscopy","level":2,"score":0.5037941336631775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47686347365379333},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4487966299057007},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.43490633368492126},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3198242783546448},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.27210256457328796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2690843343734741},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2581501007080078}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ismr48346.2021.9661511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismr48346.2021.9661511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Medical Robotics (ISMR)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.amsterdamumc.nl:publications/04961877-361c-48af-a689-e5cf461fbb15","is_oa":false,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/04961877-361c-48af-a689-e5cf461fbb15","pdf_url":null,"source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:amcpub:oai:pure.amc.nl:publications/088df516-b258-4c42-a076-9e8ff2f3f116","is_oa":false,"landing_page_url":"https://pure.amc.nl/en/publications/modeltoimage-registration-via-deep-learning-towards-imageguided-endovascular-interventions(088df516-b258-4c42-a076-9e8ff2f3f116).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 International Symposium on Medical Robotics, ISMR 2021","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:re.public.polimi.it:11311/1203618","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1203618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:tudelft.nl:uuid:a207a943-0e56-4dbb-bfde-2d668a43b81a","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:a207a943-0e56-4dbb-bfde-2d668a43b81a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1203618","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1203618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7760723010","display_name":"AuTonomous intraLuminAl Surgery","funder_award_id":"813782","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1984874281","https://openalex.org/W2536573838","https://openalex.org/W2791117644","https://openalex.org/W2793966962","https://openalex.org/W2799774179","https://openalex.org/W2808823755","https://openalex.org/W2900155821","https://openalex.org/W2907536845","https://openalex.org/W2910813723","https://openalex.org/W2913237031","https://openalex.org/W2918257301","https://openalex.org/W2962858109","https://openalex.org/W2968321522","https://openalex.org/W2970005570","https://openalex.org/W3090836936","https://openalex.org/W3096597946","https://openalex.org/W3099561884","https://openalex.org/W3125476166","https://openalex.org/W6618372016"],"related_works":["https://openalex.org/W2015651921","https://openalex.org/W2079637538","https://openalex.org/W4377014751","https://openalex.org/W2170032467","https://openalex.org/W2055350243","https://openalex.org/W3133964112","https://openalex.org/W2081914447","https://openalex.org/W4200510783","https://openalex.org/W2153667234","https://openalex.org/W2157102420"],"abstract_inverted_index":{"Cardiologists":[0],"highlight":[1],"the":[2,21,42,66,195,200],"need":[3],"for":[4,72,93,163,170],"an":[5,36],"intra-operative":[6,13,104],"3D":[7,46],"visualization":[8],"to":[9],"assist":[10],"interventions.":[11],"The":[12,173,212],"2D":[14],"X-ray/Digital":[15],"Subtraction":[16],"Angiography":[17,52],"(DSA)":[18],"images":[19,106],"in":[20,149,204],"standard":[22],"clinical":[23],"workflow":[24],"limit":[25],"cardiologists\u2019":[26],"views":[27],"significantly.":[28],"Compared":[29],"with":[30],"image-to-image":[31],"registration,":[32],"model-to-image":[33,87,114,228],"registration":[34,57,74,88],"is":[35],"essential":[37],"approach":[38,214],"taking":[39],"advantage":[40],"of":[41,44,68,145,152,159,185,208,210,219,227],"reuse":[43],"pre-operative":[45],"models":[47],"reconstructed":[48],"from":[49,61,103,128],"Computed":[50],"Tomography":[51],"(CTA)":[53],"images.":[54],"Traditional":[55],"optimized-based":[56],"methods":[58],"suffer":[59],"severely":[60],"high":[62],"computational":[63],"complexity.":[64],"Moreover,":[65],"consequence":[67],"lacking":[69],"ground":[70],"truth":[71],"learning-based":[73],"approaches":[75],"should":[76],"not":[77,189],"be":[78],"neglected.":[79],"To":[80],"overcome":[81],"these":[82],"challenges,":[83],"we":[84],"introduce":[85],"a":[86,108,113,117,205,216,223],"framework":[89],"via":[90,107,116],"deep":[91,109],"learning":[92],"image-guided":[94],"endovascular":[95],"catheterization.":[96],"This":[97],"work":[98],"performs":[99],"autonomous":[100],"vessel":[101,143,220],"segmentation":[102,144,174,221],"fluoroscopy":[105],"residual":[110],"U-net":[111],"and":[112,157,166,181,199,222],"matching":[115,193],"convolutional":[118],"neural":[119],"network.":[120],"For":[121],"this":[122],"study,":[123],"image":[124,198,202],"data":[125,147],"were":[126,188],"collected":[127],"10":[129],"patients":[130],"who":[131],"performed":[132],"Transcatheter":[133],"Aortic":[134],"Valve":[135],"Implantation":[136],"(TAVI)":[137],"procedures.":[138],"It":[139],"was":[140],"found":[141],"that":[142,187],"test":[146],"results":[148,203],"median":[150,206],"values":[151],"Dice":[153],"Similarity":[154],"Coefficient,":[155],"Precision,":[156],"Recall":[158,209],"(0.75,":[160],"0.58,":[161],"0.67)":[162],"femoral":[164],"artery,":[165],"(0.71,":[167],"0.56,":[168],"0.74)":[169],"aortic":[171],"root.":[172],"network":[175],"behaves":[176],"better":[177],"than":[178],"manual":[179],"annotation,":[180],"it":[182],"recognizes":[183],"part":[184],"vessels":[186],"labeled":[190],"manually.":[191],"Image":[192],"between":[194],"transformed":[196],"moving":[197],"fixed":[201],"value":[207,226],"0.90.":[211],"proposed":[213],"achieves":[215],"good":[217,224],"accuracy":[218],"recall":[225],"matching.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}