{"id":"https://openalex.org/W2921146225","doi":"https://doi.org/10.1117/12.2512553","title":"Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images","display_name":"Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images","publication_year":2019,"publication_date":"2019-03-13","ids":{"openalex":"https://openalex.org/W2921146225","doi":"https://doi.org/10.1117/12.2512553","mag":"2921146225"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512553","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512553","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","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/A5049656223","display_name":"Tonghe Wang","orcid":"https://orcid.org/0000-0001-9021-1204"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonghe Wang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903902","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0002-3572-0345"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lei","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059264571","display_name":"Ghazal Shafai\u2010Erfani","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghazal Shafai-Erfani","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896306","display_name":"Xiaojun Jiang","orcid":"https://orcid.org/0000-0002-1087-8787"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojun Jiang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600403","display_name":"Xue Dong","orcid":"https://orcid.org/0000-0002-6213-2821"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Dong","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043052005","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0002-6078-9424"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365653","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-5810-4318"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088869","display_name":"Walter J. Curran","orcid":"https://orcid.org/0000-0002-7552-4453"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Curran","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032332424","display_name":"Hui\u2010Kuo G. Shu","orcid":"https://orcid.org/0000-0002-4060-0874"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui-Kuo Shu","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.7744,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71755814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"155","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11402","display_name":"Vascular Malformations Diagnosis and Treatment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11402","display_name":"Vascular Malformations Diagnosis and Treatment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11251","display_name":"Meningioma and schwannoma management","score":0.984000027179718,"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/digital-subtraction-angiography","display_name":"Digital subtraction angiography","score":0.7040230631828308},{"id":"https://openalex.org/keywords/arteriovenous-malformation","display_name":"Arteriovenous malformation","score":0.671534538269043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6605466604232788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6058445572853088},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5925975441932678},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5712429881095886},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4798581004142761},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4784110486507416},{"id":"https://openalex.org/keywords/radiosurgery","display_name":"Radiosurgery","score":0.4740864038467407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46132487058639526},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4360222816467285},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42901164293289185},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4244103729724884},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.37919339537620544},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.35710036754608154},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.16922491788864136}],"concepts":[{"id":"https://openalex.org/C2778286760","wikidata":"https://www.wikidata.org/wiki/Q1224954","display_name":"Digital subtraction angiography","level":3,"score":0.7040230631828308},{"id":"https://openalex.org/C2779603958","wikidata":"https://www.wikidata.org/wiki/Q1584110","display_name":"Arteriovenous malformation","level":2,"score":0.671534538269043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605466604232788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6058445572853088},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5925975441932678},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5712429881095886},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4798581004142761},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4784110486507416},{"id":"https://openalex.org/C2780387249","wikidata":"https://www.wikidata.org/wiki/Q973234","display_name":"Radiosurgery","level":3,"score":0.4740864038467407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46132487058639526},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4360222816467285},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42901164293289185},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4244103729724884},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.37919339537620544},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35710036754608154},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.16922491788864136},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512553","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512553","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W224483403","https://openalex.org/W1901129140","https://openalex.org/W1969710969","https://openalex.org/W2009532336","https://openalex.org/W2017142224","https://openalex.org/W2027654111","https://openalex.org/W2041578551","https://openalex.org/W2043285200","https://openalex.org/W2089100801","https://openalex.org/W2095635492","https://openalex.org/W2097684120","https://openalex.org/W2114389781","https://openalex.org/W2126454275","https://openalex.org/W2128711683","https://openalex.org/W2136915010","https://openalex.org/W2137013440","https://openalex.org/W2432481613","https://openalex.org/W2579567101","https://openalex.org/W2613041730","https://openalex.org/W2901953423","https://openalex.org/W2904700519","https://openalex.org/W2904950251","https://openalex.org/W2914533527","https://openalex.org/W2943734094","https://openalex.org/W2962914239","https://openalex.org/W4235814924","https://openalex.org/W6639824700","https://openalex.org/W6642766259","https://openalex.org/W6674193733","https://openalex.org/W6762144466"],"related_works":["https://openalex.org/W2077579868","https://openalex.org/W2620592657","https://openalex.org/W4390106213","https://openalex.org/W2059122068","https://openalex.org/W4383345996","https://openalex.org/W2166299500","https://openalex.org/W3093994605","https://openalex.org/W2374587722","https://openalex.org/W2078279596","https://openalex.org/W2075883621"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,49,188],"learning-based":[3],"method":[4,150,178],"to":[5,28,41,153],"automatically":[6],"segment":[7],"arteriovenous":[8],"malformations":[9],"(AVM)":[10],"target":[11,156],"volume":[12,131,167],"from":[13,120],"computed":[14],"tomography":[15],"(CT)":[16],"in":[17,162,166,182],"stereotactic":[18],"radiosurgery":[19],"(SRS).":[20],"A":[21],"deeply":[22],"supervised":[23],"3D":[24],"V-Net":[25],"is":[26,35,62,151],"introduced":[27],"enable":[29],"end-to-end":[30],"segmentation.":[31],"Deep":[32],"supervision":[33],"mechanism":[34],"integrated":[36],"into":[37],"the":[38,43,65,70,101,116,148],"hidden":[39],"layers":[40],"overcome":[42],"optimization":[44],"difficulties":[45],"when":[46],"training":[47,53],"such":[48],"network":[50],"with":[51,92,115,158,173],"limited":[52],"data.":[54],"The":[55,127,176],"probability":[56],"map":[57],"of":[58],"new":[59],"AVM":[60,77,102,117,155,195],"contour":[61,157],"generated":[63,105],"by":[64,80,122],"well-trained":[66],"network.":[67],"To":[68],"evaluate":[69],"proposed":[71,99,149,177],"method,":[72,100],"we":[73],"retrospectively":[74],"investigate":[75],"30":[76,138],"patients":[78,139],"treated":[79],"SRS.":[81],"For":[82],"each":[83],"patient,":[84],"both":[85],"digital":[86],"subtraction":[87],"angiography":[88],"(DSA)":[89],"and":[90,112,133,143,169,186],"CT":[91,110],"contrast":[93,109],"had":[94],"been":[95],"acquired.":[96],"Using":[97],"our":[98],"contours":[103,118],"are":[104,113,140],"solely":[106,189],"based":[107],"on":[108],"images,":[111],"compared":[114,172],"delineated":[119],"DSA":[121,184],"physicians":[123],"as":[124],"ground":[125,174],"truth.":[126,175],"average":[128],"centroid":[129],"distance,":[130],"difference":[132],"DSC":[134],"value":[135],"among":[136],"all":[137],"0.83\u00b10.91mm,":[141],"-0.01\u00b10.79":[142],"0.84\u00b10.09,":[144],"which":[145],"indicates":[146],"that":[147],"able":[152],"generate":[154],"around":[159],"1mm":[160],"error":[161,165],"displacement,":[163],"1cc":[164],"size":[168],"84%":[170],"overlapping":[171],"has":[179],"great":[180],"potential":[181],"eliminating":[183],"acquisition":[185],"developing":[187],"CT-based":[190],"treatment":[191],"planning":[192],"workflow":[193],"for":[194],"SRS":[196],"treatment.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}