{"id":"https://openalex.org/W2108988242","doi":"https://doi.org/10.1109/isbi.2010.5490125","title":"Contrast mapping and statistical testing for low-grade glioma growth quantification on brain MRI","display_name":"Contrast mapping and statistical testing for low-grade glioma growth quantification on brain MRI","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2108988242","doi":"https://doi.org/10.1109/isbi.2010.5490125","mag":"2108988242"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5008972669","display_name":"Elsa D. Angelini","orcid":"https://orcid.org/0000-0002-1602-300X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Elsa D. Angelini","raw_affiliation_strings":["Institut Telecom, Telecom ParisTech, CNRS, LTCI, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Telecom, Telecom ParisTech, CNRS, LTCI, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019518434","display_name":"Julie Delon","orcid":"https://orcid.org/0000-0002-7182-7537"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julie Delon","raw_affiliation_strings":["Institut Telecom, Telecom ParisTech, CNRS, LTCI, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Telecom, Telecom ParisTech, CNRS, LTCI, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101089569","display_name":"Laurent Capelle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121705","display_name":"Piti\u00e9-Salp\u00eatri\u00e8re Hospital","ror":"https://ror.org/02mh9a093","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210121705"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210119095","display_name":"H\u00f4pital Lariboisi\u00e8re","ror":"https://ror.org/02mqtne57","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210119095"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Capelle","raw_affiliation_strings":["Neurosurgery Department, Hopital Lariboisiere, Paris, France","Neurosurgery Department, Hopital Pitie Salpetriere, Paris, France"],"affiliations":[{"raw_affiliation_string":"Neurosurgery Department, Hopital Lariboisiere, Paris, France","institution_ids":["https://openalex.org/I4210119095"]},{"raw_affiliation_string":"Neurosurgery Department, Hopital Pitie Salpetriere, Paris, France","institution_ids":["https://openalex.org/I4210121705","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073443364","display_name":"Emmanuel Mandonnet","orcid":"https://orcid.org/0000-0003-0230-9282"},"institutions":[{"id":"https://openalex.org/I4210121705","display_name":"Piti\u00e9-Salp\u00eatri\u00e8re Hospital","ror":"https://ror.org/02mh9a093","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210121705"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210119095","display_name":"H\u00f4pital Lariboisi\u00e8re","ror":"https://ror.org/02mqtne57","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210119095"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Mandonnet","raw_affiliation_strings":["Neurosurgery Department, Hopital Lariboisiere, Paris, France","Neurosurgery Department, Hopital Pitie Salpetriere, Paris, France"],"affiliations":[{"raw_affiliation_string":"Neurosurgery Department, Hopital Lariboisiere, Paris, France","institution_ids":["https://openalex.org/I4210119095"]},{"raw_affiliation_string":"Neurosurgery Department, Hopital Pitie Salpetriere, Paris, France","institution_ids":["https://openalex.org/I4210121705","https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008972669"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I205703379","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.3233,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62641903,"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":"872","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.988099992275238,"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":0.9854999780654907,"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":0.6677361130714417},{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.6504722237586975},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5668624043464661},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.5275356769561768},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.5260089635848999},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4487987756729126},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.42668572068214417},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.41617342829704285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3524516224861145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3496311902999878},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.33889007568359375},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.262045681476593},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23900002241134644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22676625847816467}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6677361130714417},{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.6504722237586975},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5668624043464661},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.5275356769561768},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.5260089635848999},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4487987756729126},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.42668572068214417},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.41617342829704285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3524516224861145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3496311902999878},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.33889007568359375},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.262045681476593},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23900002241134644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22676625847816467},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2010.5490125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.406.26","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.26","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://perso.telecom-paristech.fr/~angelini/shared_files/angelini_isbi10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1976253288","https://openalex.org/W1981472502","https://openalex.org/W2007866395","https://openalex.org/W2109928907","https://openalex.org/W2117530999","https://openalex.org/W2127093284","https://openalex.org/W2133467637","https://openalex.org/W2141460808","https://openalex.org/W2168231032"],"related_works":["https://openalex.org/W2397888002","https://openalex.org/W2356247871","https://openalex.org/W2373716292","https://openalex.org/W2381429000","https://openalex.org/W2364564193","https://openalex.org/W2393352769","https://openalex.org/W2131742827","https://openalex.org/W4389341328","https://openalex.org/W4309923383","https://openalex.org/W2408873457"],"abstract_inverted_index":{"A":[0,74],"statistical":[1,61],"differential":[2],"analysis":[3],"framework":[4],"of":[5,36,110],"longitudinal":[6],"MRI":[7,30,47,67,90],"volumes":[8],"is":[9],"proposed,":[10],"based":[11],"on":[12,63,79],"difference":[13],"maps":[14],"after":[15],"non-linear":[16],"contrast":[17],"midway":[18],"mapping,":[19],"to":[20,28,32,44,52,113],"quantify":[21],"tumor":[22],"growth.":[23],"This":[24,50],"mapping":[25],"was":[26,39,77,120],"used":[27],"normalize":[29],"scans":[31],"a":[33,60],"common":[34],"range":[35],"values,":[37],"and":[38,69,101,106],"adapted":[40],"in":[41,65,108],"this":[42],"work":[43],"handle":[45],"multiplicative":[46],"inhomogeneity":[48],"fields.":[49],"lead":[51],"two":[53,88],"direct":[54],"applications:":[55],"(1)":[56],"change":[57],"detection":[58],"from":[59],"test":[62],"differences":[64],"midway-mapped":[66],"data,":[68],"(2)":[70],"tumoral":[71],"growth":[72,96,117,130],"quantification.":[73],"clinical":[75,81],"evaluation":[76],"performed":[78],"32":[80],"cases":[82],"with":[83,87,122],"low-grade":[84],"glioma,":[85],"screened":[86],"FLAIR":[89],"scans,":[91],"several":[92],"months":[93],"apart.":[94],"Three":[95],"indices":[97],"(volume,":[98],"maximum":[99],"radius":[100,129],"spherical":[102,128],"radius)":[103],"were":[104],"measured":[105],"evaluated":[107],"terms":[109],"accuracy,":[111],"comparing":[112],"manual":[114],"tracing.":[115],"Millimetric":[116],"estimation":[118],"precision":[119],"achieved":[121],"the":[123,127],"proposed":[124],"method":[125],"for":[126],"index.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
