{"id":"https://openalex.org/W2698380058","doi":"https://doi.org/10.1109/isbi.2017.7950737","title":"Direct aneurysm volume estimation by multi-view semi-supervised manifold learning","display_name":"Direct aneurysm volume estimation by multi-view semi-supervised manifold learning","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2698380058","doi":"https://doi.org/10.1109/isbi.2017.7950737","mag":"2698380058"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034588778","display_name":"Shusheng Li","orcid":"https://orcid.org/0000-0002-8799-6394"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Shusheng Li","raw_affiliation_strings":["Dept. of Medical Imaging, University of Western Ontario","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Medical Imaging, University of Western Ontario","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100525816","display_name":"Lin Jian-kun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiankun Lin","raw_affiliation_strings":["Department of Medical Imaging, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406056","display_name":"Changhua Liu","orcid":"https://orcid.org/0000-0001-5669-5364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changhua Liu","raw_affiliation_strings":["Department of Medical Imaging, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068889532","display_name":"Xiantong Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiantong Zeng","raw_affiliation_strings":["Dept. of Medical Imaging, University of Western Ontario"],"affiliations":[{"raw_affiliation_string":"Dept. of Medical Imaging, University of Western Ontario","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Dept. of Medical Imaging, University of Western Ontario","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Medical Imaging, University of Western Ontario","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100613491"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2083,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5667812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"1222","last_page":"1225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9937000274658203,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9937000274658203,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886000156402588,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7443159818649292},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7412014007568359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837084889411926},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6256746649742126},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6053183674812317},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5610234141349792},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5589002370834351},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5461075305938721},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5005009174346924},{"id":"https://openalex.org/keywords/aneurysm","display_name":"Aneurysm","score":0.45583251118659973},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4471481442451477},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44394081830978394},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43803125619888306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4108770191669464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3742087483406067},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.19129538536071777},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11817073822021484}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7443159818649292},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7412014007568359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837084889411926},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6256746649742126},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6053183674812317},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5610234141349792},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5589002370834351},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5461075305938721},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5005009174346924},{"id":"https://openalex.org/C2776098176","wikidata":"https://www.wikidata.org/wiki/Q189389","display_name":"Aneurysm","level":2,"score":0.45583251118659973},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4471481442451477},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44394081830978394},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43803125619888306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4108770191669464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3742087483406067},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19129538536071777},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11817073822021484},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1901581672","https://openalex.org/W2036956324","https://openalex.org/W2148516227","https://openalex.org/W2154872931","https://openalex.org/W2161969291","https://openalex.org/W2295452827","https://openalex.org/W6639896289","https://openalex.org/W6682644385","https://openalex.org/W6697103824"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Accurate":[0],"volume":[1,115,177],"estimation":[2,52,56,127,178],"of":[3,29,35,57,128,138,144,156],"left":[4,129],"atrial":[5,58,130],"aneurysm":[6,59,91,131,176],"plays":[7],"an":[8],"essential":[9],"role":[10],"in":[11,184],"the":[12,65,103,120,173],"early":[13],"diagnosis":[14],"and":[15,31,68,89,98,166,179],"therapy":[16],"planning.":[17],"However,":[18],"it":[19],"is":[20],"a":[21,50,72,124,135,142,152],"challenging":[22],"task":[23],"due":[24],"to":[25,39,85,112],"huge":[26],"shape":[27],"variabilities":[28,67],"aneurysms":[30],"great":[32],"appearance":[33],"variations":[34],"images,":[36],"which":[37,80,171],"tends":[38],"be":[40],"intractable":[41],"for":[42,54,119,175],"segmentation":[43],"methods.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,70,107],"propose":[49,71],"novel":[51],"method":[53,118,150],"direct":[55,114],"volumes":[60],"without":[61],"segmentation.":[62],"To":[63],"handle":[64],"high":[66,153],"variations,":[69],"new":[73],"multi-view":[74],"semi-supervised":[75],"manifold":[76],"learning":[77],"(MSML)":[78],"algorithm,":[79],"fuses":[81],"multiple":[82],"complementary":[83],"features":[84],"generate":[86],"compact,":[87],"informative":[88],"discriminative":[90],"image":[92,105],"representation":[93],"by":[94,163],"leveraging":[95],"both":[96],"labeled":[97],"unlabeled":[99],"data.":[100],"Based":[101],"on":[102,134],"obtained":[104],"representation,":[106],"adopt":[108],"random":[109],"regression":[110],"forests":[111],"conduct":[113],"estimation.":[116],"Our":[117],"first":[121],"time":[122],"achieves":[123,151],"fully":[125],"automatic":[126],"volumes.":[132],"Experiments":[133],"clinical":[136,164,185],"dataset":[137],"67":[139],"subjects":[140],"with":[141,158],"total":[143],"1220":[145],"images":[146],"show":[147],"that":[148],"our":[149],"correlation":[154],"co-efficient":[155],"0.91":[157],"ground":[159],"truth":[160],"manually":[161],"labelled":[162],"experts":[165],"largely":[167],"outperforms":[168],"other":[169],"methods,":[170],"demonstrates":[172],"effectiveness":[174],"indicates":[180],"its":[181],"potential":[182],"use":[183],"practise.":[186]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
