{"id":"https://openalex.org/W2559809792","doi":null,"title":"Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with","display_name":"Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2559809792","mag":"2559809792"},"language":"en","primary_location":{"id":"mag:2559809792","doi":null,"is_oa":false,"landing_page_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-16239-8_21.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5026303255","display_name":"Conformal Prediction","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Conformal Prediction","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042951637","display_name":"Antonis Lambrou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonis Lambrou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008815275","display_name":"Harris Papadopoulos","orcid":"https://orcid.org/0000-0002-6839-6940","observed_orcids":["https://orcid.org/0000-0002-6839-6940"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harris Papadopoulos","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6839-6940","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034003758","display_name":"Efthyvoulos C. Kyriacou","orcid":"https://orcid.org/0000-0002-4589-519X","observed_orcids":["https://orcid.org/0000-0002-4589-519X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Efthyvoulos Kyriacou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079839426","display_name":"Constantinos S. Pattichis","orcid":"https://orcid.org/0000-0003-1271-8151","observed_orcids":["https://orcid.org/0000-0003-1271-8151"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Constantinos S. Pattichis","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1271-8151","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035540038","display_name":"Alex Gammerman","orcid":"https://orcid.org/0000-0002-9671-8441","observed_orcids":["https://orcid.org/0000-0002-9671-8441"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Gammerman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9671-8441","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061702412","display_name":"Andrew N Nicolaides","orcid":"https://orcid.org/0000-0003-3912-7394","observed_orcids":["https://orcid.org/0000-0003-3912-7394"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Nicolaides","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3912-7394","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59786225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.6714000105857849,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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":0.6714000105857849,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.2660999894142151,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.027300000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stroke-risk-assessment","display_name":"stroke risk assessment","score":0.9929999709129333},{"id":"https://openalex.org/keywords/carotid-plaque","display_name":"carotid plaque","score":0.8050000071525574},{"id":"https://openalex.org/keywords/atherosclerosis","display_name":"atherosclerosis","score":0.7509999871253967},{"id":"https://openalex.org/keywords/conformal-prediction","display_name":"conformal prediction","score":0.7509999871253967},{"id":"https://openalex.org/keywords/confidence-measures","display_name":"confidence measures","score":0.9670000076293945},{"id":"https://openalex.org/keywords/morphological-features","display_name":"morphological features","score":0.6380000114440918},{"id":"https://openalex.org/keywords/ultrasound-image-analysis","display_name":"ultrasound image analysis","score":0.8090000152587891},{"id":"https://openalex.org/keywords/non-invasive-imaging","display_name":"non-invasive imaging","score":0.6620000004768372},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.628000020980835},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.8050000071525574},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.8870000243186951},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9800000190734863}],"concepts":[{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.6080873608589172},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5959509611129761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5786802768707275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5638083815574646},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5577653050422668},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5132253170013428},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5127507448196411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5013933181762695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46229714155197144},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.45700088143348694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.444173663854599},{"id":"https://openalex.org/C3020200829","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Stroke risk","level":4,"score":0.4246734082698822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2597275376319885},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23975086212158203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2040632665157318},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20195063948631287},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.1586301028728485},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.13982662558555603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08796393871307373},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2559809792","doi":null,"is_oa":false,"landing_page_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-16239-8_21.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9537000060081482,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W173121032","https://openalex.org/W1488642921","https://openalex.org/W1499689786","https://openalex.org/W1513945160","https://openalex.org/W1521746852","https://openalex.org/W1652955026","https://openalex.org/W1661212201","https://openalex.org/W2020703303","https://openalex.org/W2054641134","https://openalex.org/W2077415712","https://openalex.org/W2085425078","https://openalex.org/W2098075945","https://openalex.org/W2145276509","https://openalex.org/W2160965321"],"related_works":["https://openalex.org/W1485956525","https://openalex.org/W2059199289","https://openalex.org/W2523257400","https://openalex.org/W2061655168","https://openalex.org/W2130802987","https://openalex.org/W2296253822","https://openalex.org/W7155017782","https://openalex.org/W2941963178","https://openalex.org/W2556985958","https://openalex.org/W4230330033"],"abstract_inverted_index":{"Non-invasive":[0],"ultrasound":[1,72],"imaging":[2],"of":[3,10,20,34,54,74,83,122,130],"carotid":[4,76],"plaques":[5],"allows":[6],"for":[7,30,47],"the":[8,18,31,38,81,118,123,128],"development":[9],"plaque":[11],"image":[12],"analysis":[13],"in":[14],"order":[15],"to":[16,52],"assess":[17],"risk":[19,132],"stroke.":[21],"In":[22],"our":[23],"work,":[24],"we":[25,79],"provide":[26],"reliable":[27],"confidence":[28,50,125],"measures":[29,51,126],"as-":[32],"sessment":[33],"stroke":[35,131],"risk,":[36],"using":[37],"Conformal":[39,86],"Prediction":[40],"framework.":[41],"This":[42],"framework":[43],"provides":[44],"a":[45,64],"way":[46],"assigning":[48],"valid":[49],"predictions":[53],"classical":[55],"machine":[56],"learning":[57],"algorithms.":[58],"We":[59],"conduct":[60],"exper-":[61],"iments":[62],"on":[63,94,127],"dataset":[65],"which":[66],"contains":[67],"morphological":[68],"features":[69],"derived":[70],"from":[71],"images":[73],"atherosclerotic":[75],"plaques,":[77],"and":[78,107,120],"evaluate":[80],"results":[82,112],"four":[84,90],"different":[85],"Predictors":[87],"(CPs).":[88],"The":[89,111],"CPs":[91,116],"are":[92],"based":[93],"Artificial":[95],"Neural":[96],"Networks":[97],"(ANNs),":[98],"Support":[99],"Vector":[100],"Machines":[101],"(SVMs),":[102],"Naive":[103],"Bayes":[104],"classification":[105],"(NBC),":[106],"k-Nearest":[108],"Neighbours":[109],"(k-NN).":[110],"given":[113],"by":[114],"all":[115],"demonstrate":[117],"reliability":[119],"usefulness":[121],"obtained":[124],"problem":[129],"assessment.":[133]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2016-12-16T00:00:00"}
