{"id":"https://openalex.org/W4362693793","doi":"https://doi.org/10.1117/12.2653929","title":"Self-supervised deep learning to predict molecular markers from routine histopathology slides for high-grade glioma tumors","display_name":"Self-supervised deep learning to predict molecular markers from routine histopathology slides for high-grade glioma tumors","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362693793","doi":"https://doi.org/10.1117/12.2653929"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653929","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","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/A5083293383","display_name":"Olivia K. Krebs","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivia Krebs","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035912783","display_name":"S. K. Agarwal","orcid":"https://orcid.org/0000-0001-9777-291X"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shobhit Agarwal","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]},{"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":["Univ. of Wisconsin-Madison (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Wisconsin-Madison (United States)","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62665763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9969000220298767,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.8087978363037109},{"id":"https://openalex.org/keywords/isocitrate-dehydrogenase","display_name":"Isocitrate dehydrogenase","score":0.6909687519073486},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5838754773139954},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.4827003479003906},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4558109939098358},{"id":"https://openalex.org/keywords/o-6-methylguanine-dna-methyltransferase","display_name":"O-6-methylguanine-DNA methyltransferase","score":0.45099732279777527},{"id":"https://openalex.org/keywords/dna-methylation","display_name":"DNA methylation","score":0.4349965751171112},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4339137673377991},{"id":"https://openalex.org/keywords/subtyping","display_name":"Subtyping","score":0.4291597604751587},{"id":"https://openalex.org/keywords/methylation","display_name":"Methylation","score":0.39582228660583496},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.36874663829803467},{"id":"https://openalex.org/keywords/methyltransferase","display_name":"Methyltransferase","score":0.36237072944641113},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3312642574310303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2971065640449524},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.2517116665840149},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2331157624721527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2265467643737793},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20224368572235107},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13982045650482178},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.0664815604686737}],"concepts":[{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.8087978363037109},{"id":"https://openalex.org/C2777150147","wikidata":"https://www.wikidata.org/wiki/Q261968","display_name":"Isocitrate dehydrogenase","level":3,"score":0.6909687519073486},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5838754773139954},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.4827003479003906},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4558109939098358},{"id":"https://openalex.org/C2779527866","wikidata":"https://www.wikidata.org/wiki/Q21118735","display_name":"O-6-methylguanine-DNA methyltransferase","level":5,"score":0.45099732279777527},{"id":"https://openalex.org/C190727270","wikidata":"https://www.wikidata.org/wiki/Q874745","display_name":"DNA methylation","level":4,"score":0.4349965751171112},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4339137673377991},{"id":"https://openalex.org/C83852419","wikidata":"https://www.wikidata.org/wiki/Q2713292","display_name":"Subtyping","level":2,"score":0.4291597604751587},{"id":"https://openalex.org/C33288867","wikidata":"https://www.wikidata.org/wiki/Q518328","display_name":"Methylation","level":3,"score":0.39582228660583496},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.36874663829803467},{"id":"https://openalex.org/C91965660","wikidata":"https://www.wikidata.org/wiki/Q415875","display_name":"Methyltransferase","level":4,"score":0.36237072944641113},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3312642574310303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2971065640449524},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.2517116665840149},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2331157624721527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2265467643737793},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20224368572235107},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13982045650482178},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0664815604686737},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C181199279","wikidata":"https://www.wikidata.org/wiki/Q8047","display_name":"Enzyme","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2653929","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","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/W3032557428","https://openalex.org/W2157438125","https://openalex.org/W3154887287","https://openalex.org/W2030612391","https://openalex.org/W2351942949","https://openalex.org/W1987028324","https://openalex.org/W4388459684","https://openalex.org/W2165434334","https://openalex.org/W2022873160","https://openalex.org/W1998472924"],"abstract_inverted_index":{"High-grade":[0],"gliomas":[1],"are":[2,28,43],"aggressive":[3],"forms":[4],"of":[5,13,18,61,79,145,171,183,196,207,219],"brain":[6],"cancer":[7],"associated":[8],"with":[9],"a":[10,99,131,143],"poor":[11],"prognosis":[12],"12-15":[14],"months.":[15],"The":[16,167,189],"mutation":[17,209],"isocitrate":[19],"dehydrogenase":[20],"I":[21],"(IDH)":[22],"and":[23,34,45,73,84,107,138,159,174,200,210],"O6-methylguanine-DNA-methyltransferase":[24],"(MGMT)":[25],"promoter":[26,162,212],"methylation":[27,213],"biomarkers":[29],"relevant":[30],"to":[31,38,81,94,105,116,223],"disease":[32],"classification":[33],"prognosis.":[35],"Current":[36],"methods":[37,69],"identify":[39],"patients\u2019":[40],"molecular":[41,64,120],"status":[42,123,214],"expensive":[44],"can":[46],"be":[47,91,114],"resource":[48],"prohibitive.":[49],"Morphological":[50],"attributes":[51],"as":[52],"captured":[53],"on":[54,142],"histopathology":[55,80],"contain":[56],"rich":[57],"phenotypic":[58],"information":[59],"indicative":[60],"the":[62,119,175,205,224],"underlying":[63],"processes.":[65],"Recently,":[66],"deep":[67,101,132,190],"learning":[68,102,133,191],"have":[70],"demonstrated":[71],"diagnostic":[72,187],"prognostic":[74],"value":[75],"via":[76],"computational":[77,100],"analysis":[78],"incorporate":[82],"complex":[83],"subvisual":[85],"morphometric":[86],"features":[87],"that":[88,98,135,178],"may":[89],"not":[90],"visually":[92],"accessible":[93],"pathologists.":[95],"We":[96],"hypothesize":[97],"approach":[103,134,168,192],"applied":[104],"Hematoxylin":[106],"Eosin":[108],"(H&E)-stained":[109],"digitized":[110],"tissue":[111],"slides":[112],"will":[113],"able":[115],"reliably":[117],"predict":[118],"(IDH,":[121],"MGMT)":[122],"in":[124,228],"high-grade":[125,149],"glioma":[126,150],"patients.":[127],"Specifically,":[128],"we":[129],"present":[130],"employs":[136],"self-supervised":[137],"multiple":[139],"instance":[140],"learning,":[141],"total":[144],"n=325":[146],"H&E":[147],"stained":[148],"slides,":[151],"for":[152,204],"identifying":[153],"(a)":[154],"IDHmutant":[155],"versus":[156,164],"IDH-wild-type":[157],"(WT)":[158],"(b)":[160],"MGMT":[161,211],"methylated":[163],"unmethylated":[165],"tumors.":[166],"addressed":[169],"challenges":[170],"patch":[172],"selection":[173],"unbalanced":[176],"instances":[177],"arise":[179],"from":[180],"only":[181],"subregions":[182],"whole-slide":[184],"images":[185],"providing":[186],"value.":[188],"achieved":[193],"accuracy":[194,226],"values":[195,227],"91.17":[197],"(+/-":[198,202],"3.47)":[199],"86.11":[201],"4.45),":[203],"prediction":[206],"IDH":[208],"respectively,":[215],"demonstrating":[216],"an":[217],"improvement":[218],"over":[220],"5%":[221],"compared":[222],"reported":[225],"previous":[229],"studies.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
