{"id":"https://openalex.org/W4401752958","doi":"https://doi.org/10.1109/isbi56570.2024.10635456","title":"Graph-Radiomics Learning (GrRAiL): Application to Distinguishing Glioblastoma Recurrence from Pseudo-Progression on Structural MRI","display_name":"Graph-Radiomics Learning (GrRAiL): Application to Distinguishing Glioblastoma Recurrence from Pseudo-Progression on Structural MRI","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401752958","doi":"https://doi.org/10.1109/isbi56570.2024.10635456"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5079491141","display_name":"Dheerendranath Battalapalli","orcid":"https://orcid.org/0000-0002-4158-6875"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dheerendranath Battalapalli","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Radiology,Madison,USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Radiology,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036145998","display_name":"Apoorva Safai","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apoorva Safai","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Radiology,Madison,USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Radiology,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032571776","display_name":"Marwa Ismail","orcid":"https://orcid.org/0000-0002-1396-0372"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marwa Ismail","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Radiology,Madison,USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Radiology,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067429873","display_name":"Virginia Hill","orcid":"https://orcid.org/0000-0001-9146-9370"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Virginia Hill","raw_affiliation_strings":["Imaging Institute, Cleveland Clinic,Department of Neuroradiology,Cleveland,USA"],"affiliations":[{"raw_affiliation_string":"Imaging Institute, Cleveland Clinic,Department of Neuroradiology,Cleveland,USA","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076851027","display_name":"Volodymyr Statsevych","orcid":"https://orcid.org/0000-0003-2991-4730"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Volodymyr Statsevych","raw_affiliation_strings":["Imaging Institute, Cleveland Clinic,Department of Neuroradiology,Cleveland,USA"],"affiliations":[{"raw_affiliation_string":"Imaging Institute, Cleveland Clinic,Department of Neuroradiology,Cleveland,USA","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066126749","display_name":"Raymond Y. Huang","orcid":"https://orcid.org/0000-0001-7661-797X"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Huang","raw_affiliation_strings":["Harvard Medical School,Department of Radiology,Boston,USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School,Department of Radiology,Boston,USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035416012","display_name":"Manmeet S. Ahluwalia","orcid":"https://orcid.org/0000-0003-3794-9511"},"institutions":[{"id":"https://openalex.org/I4210097785","display_name":"Baptist Health South Florida","ror":"https://ror.org/00v47pv90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210097785"]},{"id":"https://openalex.org/I1292848113","display_name":"Baptist Hospital of Miami","ror":"https://ror.org/000pfrh90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1292848113","https://openalex.org/I4210097785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manmeet Singh Ahluwalia","raw_affiliation_strings":["Miami Cancer Institute, Baptist Health South Florida,Miami,USA"],"affiliations":[{"raw_affiliation_string":"Miami Cancer Institute, Baptist Health South Florida,Miami,USA","institution_ids":["https://openalex.org/I1292848113","https://openalex.org/I4210097785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042392208","display_name":"Pallavi Tiwari","orcid":"https://orcid.org/0000-0001-9477-4856"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pallavi Tiwari","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Radiology,Madison,USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Radiology,Madison,USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5079491141"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.4307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64899723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/radiomics","display_name":"Radiomics","score":0.8578439950942993},{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.7545799016952515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997079014778137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5435992479324341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4826386570930481},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31583142280578613},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18934890627861023},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.11328762769699097}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8578439950942993},{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.7545799016952515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997079014778137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5435992479324341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4826386570930481},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31583142280578613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18934890627861023},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.11328762769699097}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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":12,"referenced_works":["https://openalex.org/W2062571913","https://openalex.org/W2071274604","https://openalex.org/W2587297900","https://openalex.org/W2891385203","https://openalex.org/W2899014593","https://openalex.org/W2949763225","https://openalex.org/W3015903713","https://openalex.org/W3179570440","https://openalex.org/W4200327950","https://openalex.org/W4210427607","https://openalex.org/W4211078038","https://openalex.org/W4385230180"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W4321251649","https://openalex.org/W3128847470","https://openalex.org/W2909044173","https://openalex.org/W2555360349"],"abstract_inverted_index":{"A":[0],"significant":[1],"challenge":[2],"in":[3,75,88,146,157,253],"managing":[4],"aggressive":[5,162],"cancers":[6],"is":[7,83],"the":[8,12,42,72,85,98,102,112,117,120,137,142,160,190],"ability":[9],"to":[10,17,27,52,70,135,151,170,173,234],"quantify":[11,136],"intra-tumoral":[13],"heterogeneity":[14,100,150],"that":[15,66,84,187],"contributes":[16],"poor":[18],"prognostic":[19],"outcomes.":[20],"While":[21],"radiomics":[22,267],"approaches":[23,134,274],"have":[24,32],"previously":[25],"attempted":[26],"characterize":[28],"tumor":[29,43,138],"heterogeneity,":[30],"they":[31],"primarily":[33],"focused":[34],"on":[35,45,194],"utilizing":[36],"textural-":[37],"and":[38,58,126,214,265,271],"morphological-based":[39],"features":[40,246],"from":[41,111,179,205,237,256],"confines":[44],"imaging.":[46],"In":[47,165],"this":[48,81,166],"work,":[49],"we":[50,168],"seek":[51,169],"go":[53],"beyond":[54],"textural":[55],"intensity":[56],"patterns":[57,69],"present":[59],"a":[60,153,182,228,260],"new":[61],"Graph-Radiomics":[62],"Learning":[63],"(GrRAiL)":[64],"approach":[65],"utilizes":[67],"graph":[68,124,251,273],"capture":[71],"spatial":[73,86],"interactions":[74,87],"radiomic":[76,89,108,245],"features.":[77],"The":[78],"rationale":[79],"for":[80,212,222],"work":[82],"expressions":[90],"when":[91],"mapped":[92],"via":[93],"connected":[94],"graphs,":[95],"can":[96],"model":[97],"extensive":[99],"of":[101,144,192,263],"tumor.":[103,164],"GrRAiL":[104,145,172,226,258],"involves":[105],"(a)":[106],"extracting":[107,225],"expression":[109,121],"maps":[110],"segmented":[113],"lesion,":[114],"(b)":[115],"clustering":[116],"sub-regions":[118],"within":[119],"maps,":[122],"(c)":[123],"construction":[125],"feature":[127],"extraction,":[128],"followed":[129],"by":[130],"using":[131],"machine":[132],"learning":[133],"regions.":[139],"We":[140],"assess":[141],"efficacy":[143],"accurately":[147],"quantifying":[148],"lesion":[149],"address":[152],"challenging":[154],"clinical":[155],"dilemma":[156],"Glioblastoma":[158],"(GB),":[159],"most":[161],"brain":[163],"context,":[167],"utilize":[171],"differentiate":[174],"GB":[175,203],"true":[176],"progression":[177],"(TP)":[178],"pseudo-progression":[180],"(PsP),":[181],"benign":[183],"radiation-induced":[184],"treatment":[185],"effect":[186],"often":[188],"mimics":[189],"appearance":[191],"TP":[193,236,255],"MRI":[195],"scans.":[196],"Our":[197],"study":[198],"included":[199],"n":[200],"=":[201,269,276],"106":[202],"patients":[204],"Cleveland":[206],"Clinic":[207],"(TP:":[208,218],"38,":[209],"PsP:":[210,220],"22":[211],"training)":[213],"Dana-Farber":[215],"Cancer":[216],"Center":[217],"33,":[219],"13":[221],"testing).":[223],"After":[224],"features,":[227,252],"Random":[229],"Forest":[230],"classifier":[231],"was":[232,242],"employed":[233],"distinguish":[235],"PsP.":[238,257],"Further,":[239],"GrRAiL\u2019s":[240],"performance":[241],"compared":[243],"with":[244],"as":[247,249],"well":[248],"intensity-based":[250,272],"distinguishing":[254],"achieved":[259],"test":[261],"accuracy":[262],"0.76":[264],"outperformed":[266],"(accuracy":[268,275],"0.69)":[270],"0.61).":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}