{"id":"https://openalex.org/W3011950802","doi":"https://doi.org/10.1117/12.2547528","title":"Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults","display_name":"Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011950802","doi":"https://doi.org/10.1117/12.2547528","mag":"3011950802"},"language":"en","primary_location":{"id":"doi:10.1117/12.2547528","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2547528","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: 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 2020: 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/A5057259160","display_name":"Mikhail Milchenko","orcid":"https://orcid.org/0000-0002-4022-1081"},"institutions":[{"id":"https://openalex.org/I4210102181","display_name":"Mallinckrodt (United States)","ror":"https://ror.org/01akman82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102181"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mikhail Milchenko","raw_affiliation_strings":["Mallinckrodt Institute of Radiology (United States)"],"affiliations":[{"raw_affiliation_string":"Mallinckrodt Institute of Radiology (United States)","institution_ids":["https://openalex.org/I4210102181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059949596","display_name":"Pamela LaMontagne","orcid":"https://orcid.org/0000-0002-6752-8518"},"institutions":[{"id":"https://openalex.org/I4210102181","display_name":"Mallinckrodt (United States)","ror":"https://ror.org/01akman82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102181"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pamela LaMontagne","raw_affiliation_strings":["Mallinckrodt Institute of Radiology (United States)"],"affiliations":[{"raw_affiliation_string":"Mallinckrodt Institute of Radiology (United States)","institution_ids":["https://openalex.org/I4210102181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074509006","display_name":"Daniel Marcus","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102181","display_name":"Mallinckrodt (United States)","ror":"https://ror.org/01akman82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102181"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Marcus","raw_affiliation_strings":["Mallinckrodt Institute of Radiology (United States)"],"affiliations":[{"raw_affiliation_string":"Mallinckrodt Institute of Radiology (United States)","institution_ids":["https://openalex.org/I4210102181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057259160"],"corresponding_institution_ids":["https://openalex.org/I4210102181"],"apc_list":null,"apc_paid":null,"fwci":0.1101,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46928814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.993399977684021,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.993399977684021,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9502000212669373,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.932699978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7051537036895752},{"id":"https://openalex.org/keywords/human-brain","display_name":"Human brain","score":0.5440806746482849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5080511569976807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47026878595352173},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.46383723616600037},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.42336422204971313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3297385573387146},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.218582421541214},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20370936393737793},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19590216875076294},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13558632135391235}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7051537036895752},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.5440806746482849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5080511569976807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47026878595352173},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.46383723616600037},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.42336422204971313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3297385573387146},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.218582421541214},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20370936393737793},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19590216875076294},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13558632135391235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2547528","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2547528","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: 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 2020: 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":0,"referenced_works":[],"related_works":["https://openalex.org/W2163751115","https://openalex.org/W2586608483","https://openalex.org/W2988088379","https://openalex.org/W2625093041","https://openalex.org/W2733233723","https://openalex.org/W769135352","https://openalex.org/W4395469579","https://openalex.org/W2415838370","https://openalex.org/W3120218437","https://openalex.org/W3043297934"],"abstract_inverted_index":{"Retrospective":[0],"neuro-oncology":[1],"imaging":[2],"research":[3],"relies":[4],"on":[5,136,150,162,175,183,232],"standardization":[6],"of":[7,11,32,67,98,105,152,236],"large,":[8],"heterogeneous":[9],"sets":[10],"clinical":[12],"images.":[13],"In":[14],"particular,":[15],"many":[16],"tumor":[17],"segmentation":[18],"algorithms":[19],"require":[20],"pre-":[21],"and":[22,76,89,116,147,241],"post-":[23],"Gadolinium":[24],"(Gd)":[25],"T1-weighted":[26,56],"MRI":[27],"scans.":[28,190],"Since":[29],"the":[30,81,86,196],"presence":[31],"contrast":[33],"agent":[34],"cannot":[35],"be":[36],"reliably":[37],"inferred":[38],"from":[39,166],"image":[40,58,225],"metadata,":[41],"we":[42,84,108],"propose":[43],"an":[44,201],"automatic":[45,219],"imagebased":[46],"classifier":[47,205],"for":[48,206,218],"this":[49,194],"purpose.":[50],"We":[51,210],"proceed":[52],"with":[53,112,126,145,177,246],"aligning":[54],"a":[55,60,94,102,233],"MR":[57],"to":[59,80,199,212,221],"standard":[61,82,114,127],"atlas":[62],"space,":[63,83],"by":[64],"selecting":[65],"one":[66],"eight":[68],"affine":[69],"transforms":[70],"produced":[71],"using":[72],"different":[73,167],"registration":[74],"parameters":[75],"atlases.":[77],"After":[78],"resampling":[79],"normalize":[85],"intensity":[87,91],"distribution":[88],"compute":[90],"characteristics":[92],"inside":[93],"pre-built":[95],"binary":[96],"mask":[97],"likely":[99],"enhancement.":[100],"Using":[101],"labeled":[103],"set":[104],"1892":[106],"scans,":[107],"evaluated":[109],"logistic":[110,124],"regressions":[111],"mean,":[113],"deviation,":[115],"95th":[117],"percentile":[118],"as":[119,129],"possible":[120],"factors.":[121],"A":[122],"univariable":[123],"regression":[125],"deviation":[128],"factor":[130],"was":[131,142,172,181],"most":[132],"accurate":[133,247],"at":[134],"98.9%":[135],"testing":[137],"data.":[138],"The":[139,154,227],"slope":[140],"coefficient":[141],"highly":[143,184],"robust":[144],"p&lt;1e-6":[146],"Cramer-Rao":[148],"bound":[149],"variance":[151],"1%.":[153],"resulting":[155],"classification":[156],"script":[157],"is":[158,195],"completely":[159],"unsupervised.":[160],"Accuracy":[161,180],"two":[163],"validation":[164],"datasets":[165],"sources":[168],"(totaling":[169],"1328":[170],"scans)":[171],"over":[173],"99%":[174],"scans":[176],"isotropic":[178],"sampling.":[179],"lower":[182,188],"anisotropic":[185],"or":[186],"otherwise":[187],"quality":[189],"To":[191],"our":[192],"knowledge,":[193],"first":[197],"attempt":[198],"build":[200],"automated":[202],"Gd":[203,223],"enhancement":[204],"big":[207],"data":[208],"applications.":[209],"plan":[211],"integrate":[213],"it":[214],"into":[215],"XNAT":[216],"platform":[217],"labeling,":[220],"enable":[222],"enhanced":[224],"search.":[226],"proposed":[228],"detector":[229],"performed":[230],"well":[231],"wide":[234],"variety":[235],"acquisition":[237,242],"parameters.":[238],"Image":[239],"anisotropy":[240],"artifacts":[243],"may":[244],"interfere":[245],"detection.":[248]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
