{"id":"https://openalex.org/W2955697155","doi":"https://doi.org/10.1109/icip.2019.8803045","title":"Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss","display_name":"Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2955697155","doi":"https://doi.org/10.1109/icip.2019.8803045","mag":"2955697155"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803045","doi":"https://doi.org/10.1109/icip.2019.8803045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803045","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5029334093","display_name":"Hongxu Yang","orcid":"https://orcid.org/0000-0003-2447-094X","observed_orcids":["https://orcid.org/0000-0003-2447-094X"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hongxu Yang","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055478558","display_name":"Caifeng Shan","orcid":"https://orcid.org/0000-0002-2131-1671","observed_orcids":["https://orcid.org/0000-0002-2131-1671"]},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Caifeng Shan","raw_affiliation_strings":["Philips Research, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039096815","display_name":"Alexander F. Kolen","orcid":"https://orcid.org/0000-0003-3439-5584","observed_orcids":["https://orcid.org/0000-0003-3439-5584"]},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alexander F. Kolen","raw_affiliation_strings":["Philips Research, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716","observed_orcids":["https://orcid.org/0000-0002-7639-7716"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter H. N. de With","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3221,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61505138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1346","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/T11738","display_name":"Ultrasound in Clinical Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/catheter-localization","display_name":"catheter localization","score":0.9950000047683716},{"id":"https://openalex.org/keywords/volumetric-ultrasound-imaging","display_name":"volumetric ultrasound imaging","score":0.9789999723434448},{"id":"https://openalex.org/keywords/3d-u-net","display_name":"3D U-Net","score":0.9919999837875366},{"id":"https://openalex.org/keywords/focal-loss","display_name":"focal loss","score":1.0},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7730000019073486},{"id":"https://openalex.org/keywords/dense-sampling","display_name":"dense sampling","score":0.7429999709129333}],"concepts":[{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.6999098062515259},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6541645526885986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6497355103492737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5765759348869324},{"id":"https://openalex.org/C2781267111","wikidata":"https://www.wikidata.org/wiki/Q652297","display_name":"Catheter","level":2,"score":0.5361312627792358},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5108749270439148},{"id":"https://openalex.org/C2910474132","wikidata":"https://www.wikidata.org/wiki/Q436572","display_name":"Cardiac Ablation","level":4,"score":0.5054807662963867},{"id":"https://openalex.org/C2776131983","wikidata":"https://www.wikidata.org/wiki/Q436572","display_name":"Catheter ablation","level":3,"score":0.430406391620636},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42347294092178345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41774022579193115},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.39676573872566223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.338016539812088},{"id":"https://openalex.org/C2778902805","wikidata":"https://www.wikidata.org/wiki/Q322177","display_name":"Ablation","level":2,"score":0.3036791682243347},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25020793080329895},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2349720597267151},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip.2019.8803045","doi":"https://doi.org/10.1109/icip.2019.8803045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803045","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:910779","doi":null,"is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=910779","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:library.tue.nl:910779","doi":null,"is_oa":false,"landing_page_url":"http://repository.tue.nl/910779","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/d96a6aca-4c67-4ac6-87a7-9afe415d6f72","doi":null,"is_oa":false,"landing_page_url":"https://www.scopus.com/pages/publications/85076803581","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, H, Shan, C, Kolen, A F & de With, P 2019, Automated catheter localization in volumetric ultrasound using 3D patch-wise U-net with focal loss. in 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings., 8803045, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1346-1350, 26th IEEE International Conference on Image Processing (ICIP 2019), Taipei, Taiwan, 22/09/19. https://doi.org/10.1109/ICIP.2019.8803045","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/d96a6aca-4c67-4ac6-87a7-9afe415d6f72","doi":null,"is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/d96a6aca-4c67-4ac6-87a7-9afe415d6f72","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings, 1346 - 1350","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1978761423","https://openalex.org/W2045494151","https://openalex.org/W2095705004","https://openalex.org/W2301358467","https://openalex.org/W2464708700","https://openalex.org/W2604949900","https://openalex.org/W2750941149","https://openalex.org/W2752207938","https://openalex.org/W2790119865","https://openalex.org/W2884561390","https://openalex.org/W2890336678","https://openalex.org/W2908682738","https://openalex.org/W2912021503","https://openalex.org/W2949117887","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W2912021503","https://openalex.org/W7038454686","https://openalex.org/W2938552962","https://openalex.org/W2948506135","https://openalex.org/W2908682738","https://openalex.org/W2965620884","https://openalex.org/W2990088881","https://openalex.org/W3092407915","https://openalex.org/W2890336678","https://openalex.org/W3093025088"],"abstract_inverted_index":{"3D":[0,18,41,53,93],"ultrasound":[1],"(US)":[2],"imaging":[3],"has":[4],"become":[5],"an":[6,109,130],"attractive":[7],"option":[8],"for":[9,40,114],"image-guided":[10],"interventions.":[11,30],"Fast":[12],"and":[13,25],"accurate":[14],"catheter":[15,37,89,115],"localization":[16,38],"in":[17,91],"cardiac":[19,29,42],"US":[20,43,94],"can":[21,125],"improve":[22],"the":[23,28,45,58,65,86,92,105,118],"outcome":[24],"efficiency":[26],"of":[27,61,112,133],"In":[31],"this":[32],"paper,":[33],"we":[34,78],"propose":[35],"a":[36,80],"method":[39,107,124],"using":[44],"patch-wise":[46],"semantic":[47],"segmentation":[48],"with":[49,57,129],"model":[50],"fitting.":[51],"Our":[52],"U-Net":[54],"is":[55],"trained":[56],"focal":[59],"loss":[60],"cross-entropy,":[62],"which":[63],"makes":[64],"network":[66],"to":[67,75,84],"focus":[68],"more":[69],"on":[70,98],"samples":[71],"that":[72,104],"are":[73],"difficult":[74],"classify.":[76],"Moreover,":[77],"adopt":[79],"dense":[81],"sampling":[82],"strategy":[83],"overcome":[85],"extremely":[87],"imbalanced":[88],"occupation":[90],"data.":[95],"Extensive":[96],"experiments":[97],"our":[99,123],"challenging":[100],"ex-vivo":[101],"dataset":[102],"show":[103],"proposed":[106],"achieves":[108],"F-1":[110],"score":[111],"65.1%":[113],"segmentation,":[116],"outperforming":[117],"state-of-the-art":[119],"methods.":[120],"With":[121],"this,":[122],"localize":[126],"RF-ablation":[127],"catheters":[128],"average":[131],"error":[132],"1.28":[134],"mm.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-07-12T00:00:00"}