{"id":"https://openalex.org/W2127272017","doi":"https://doi.org/10.1109/isbi.2011.5872503","title":"Spatio-temporal analysis for automatic contrast injection detection on angiography during trans-catheter aortic valve implantation","display_name":"Spatio-temporal analysis for automatic contrast injection detection on angiography during trans-catheter aortic valve implantation","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2127272017","doi":"https://doi.org/10.1109/isbi.2011.5872503","mag":"2127272017"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","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/A5016647611","display_name":"Wei You","orcid":"https://orcid.org/0000-0003-0466-6486"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei You","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","[Siemens Corporate Res., Princeton, NJ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057068227","display_name":"Rui Liao","orcid":"https://orcid.org/0000-0002-0057-2792"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Liao","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","[Siemens Corporate Res., Princeton, NJ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113663870","display_name":"Michelle Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Yan","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","[Siemens Corporate Res., Princeton, NJ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"[Siemens Corporate Res., Princeton, NJ, USA]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114180467","display_name":"Matthias John","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias John","raw_affiliation_strings":["Healthcare Sector, Siemens AG, Forchheim, Germany","Siemens AG, Healthcare Sector, Forchheim, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Healthcare Sector, Siemens AG, Forchheim, Germany","institution_ids":["https://openalex.org/I4210153902"]},{"raw_affiliation_string":"Siemens AG, Healthcare Sector, Forchheim, Germany#TAB#","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5019,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72995921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"702","last_page":"706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9860000014305115,"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":0.9860000014305115,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9811999797821045,"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"}},{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.6238937377929688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.615086019039154},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.517906129360199},{"id":"https://openalex.org/keywords/aortic-valve","display_name":"Aortic valve","score":0.5013301372528076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4786071479320526},{"id":"https://openalex.org/keywords/aorta","display_name":"Aorta","score":0.4774899184703827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4681940972805023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4439737796783447},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4372308850288391},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4051051139831543},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.29656773805618286},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.16227054595947266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238937377929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.615086019039154},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.517906129360199},{"id":"https://openalex.org/C2780714102","wikidata":"https://www.wikidata.org/wiki/Q616071","display_name":"Aortic valve","level":2,"score":0.5013301372528076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4786071479320526},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.4774899184703827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4681940972805023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4439737796783447},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4372308850288391},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4051051139831543},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29656773805618286},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.16227054595947266},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1564314741","https://openalex.org/W1565106057","https://openalex.org/W1842290555","https://openalex.org/W1977514201","https://openalex.org/W2004586880","https://openalex.org/W2059134460","https://openalex.org/W2109731094","https://openalex.org/W2147484997","https://openalex.org/W2148440008","https://openalex.org/W2153635508","https://openalex.org/W2211764303","https://openalex.org/W2292715788","https://openalex.org/W3120421331","https://openalex.org/W6633986074","https://openalex.org/W6639004578"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2998542275"],"abstract_inverted_index":{"Registration":[0],"of":[1,63,80,114,144],"3-D":[2],"aortic":[3,17,29],"model":[4],"onto":[5],"X-ray":[6],"images":[7],"provides":[8],"anatomical":[9],"details":[10],"for":[11,146,151],"optimal":[12],"valve":[13,18],"deployment":[14],"in":[15,27,31,70,105],"Trans-catheter":[16],"implantation":[19],"(TAVI)":[20],"procedures.":[21],"Fast":[22],"and":[23,53,149],"automatic":[24],"contrast":[25,65],"detection":[26],"the":[28,61,64,91,95,112,140],"root":[30],"fluoroscopic":[32,57],"sequences":[33,58,75,106,134,148],"facilitates":[34],"a":[35,77,84,118],"seamless":[36],"workflow":[37],"by":[38],"triggering":[39],"2-D/3-D":[40],"registration":[41],"automatically":[42],"when":[43],"necessary.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"an":[50],"integrated":[51],"spatial":[52],"temporal":[54],"analysis":[55],"on":[56,132],"to":[59,89,110,127],"improve":[60],"performance":[62],"feature":[66,122],"curve":[67],"based":[68,123],"method":[69],"our":[71],"previous":[72],"work.":[73],"For":[74],"with":[76,107],"high":[78],"likelihood":[79],"containing":[81],"contrasted":[82,92,96,108,152],"aorta,":[83],"cascaded":[85],"classifier":[86,124],"is":[87,102,125],"used":[88],"separate":[90],"aorta":[93,109],"from":[94],"balloons.":[97],"A":[98],"local":[99],"training":[100],"procedure":[101],"then":[103],"performed":[104],"identify":[111],"range":[113],"well-contrasted":[115],"frames.":[116],"Next,":[117],"multi-layer":[119],"sparse":[120],"Gabor":[121],"adopted":[126],"recognize":[128],"faint":[129],"contrast.":[130],"Experiments":[131],"69":[133],"acquired":[135],"during":[136],"TAVI":[137],"procedures":[138],"achieved":[139],"correct":[141],"classification":[142],"rate":[143],"12/12":[145],"non-contrasted":[147],"56/57":[150],"sequences.":[153]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
