{"id":"https://openalex.org/W2975608192","doi":"https://doi.org/10.1109/bigdata47090.2019.9006467","title":"Exascale Deep Learning to Accelerate Cancer Research","display_name":"Exascale Deep Learning to Accelerate Cancer Research","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2975608192","doi":"https://doi.org/10.1109/bigdata47090.2019.9006467","mag":"2975608192"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.12291","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021986280","display_name":"Robert M. Patton","orcid":"https://orcid.org/0000-0002-8101-0571"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert M. Patton","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084600563","display_name":"Travis Johnston","orcid":"https://orcid.org/0000-0001-7108-1934"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Travis Johnston","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029444976","display_name":"Steven R. Young","orcid":"https://orcid.org/0000-0003-0591-4330"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven R. Young","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033784578","display_name":"Catherine D. Schuman","orcid":"https://orcid.org/0000-0002-4264-8097"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine D. Schuman","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000241304","display_name":"Thomas E. Potok","orcid":"https://orcid.org/0000-0001-6687-3435"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas E. Potok","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070858681","display_name":"Derek Rose","orcid":"https://orcid.org/0000-0002-5217-4374"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek C. Rose","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108103364","display_name":"Seung-Hwan Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Hwan Lim","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061467967","display_name":"Junghoon Chae","orcid":"https://orcid.org/0000-0002-0601-6746"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junghoon Chae","raw_affiliation_strings":["Oak Ridge National Lab, Oak Ridge, TN, United States"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab, Oak Ridge, TN, United States","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561297","display_name":"Le Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Hou","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, United States","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023386865","display_name":"Shahira Abousamra","orcid":"https://orcid.org/0000-0001-6214-1923"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahira Abousamra","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, United States","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109460487","display_name":"Dimitris Samaras","orcid":"https://orcid.org/0000-0002-1373-0294"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Samaras","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, United States","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072946826","display_name":"Joel Saltz","orcid":"https://orcid.org/0000-0002-3451-2165"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Saltz","raw_affiliation_strings":["Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, United States","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5021986280"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.5781,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76192228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1488","last_page":"1496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9939000010490417,"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":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.8276928663253784},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7465486526489258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7371149063110352},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.7342462539672852},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6833041310310364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.673351526260376},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6273641586303711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6216144561767578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5496321320533752},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5313257575035095},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4554878771305084},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32825666666030884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3245020806789398},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.22514495253562927},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08761870861053467},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08164829015731812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276928663253784},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7465486526489258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7371149063110352},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.7342462539672852},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6833041310310364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.673351526260376},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6273641586303711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6216144561767578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5496321320533752},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5313257575035095},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4554878771305084},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32825666666030884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3245020806789398},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.22514495253562927},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08761870861053467},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08164829015731812},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.12291","pdf_url":"https://arxiv.org/pdf/1909.12291","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:osti.gov:1648903","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1648903","pdf_url":"https://www.osti.gov/servlets/purl/1648903","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"mag:2975608192","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1909.12291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1909.12291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.12291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.12291","pdf_url":"https://arxiv.org/pdf/1909.12291","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1489425746","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G1645119126","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1719536385","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2296932962","display_name":null,"funder_award_id":"DE-AC05-00OR227","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3299391273","display_name":null,"funder_award_id":"E-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G4370606643","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G4694431782","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G6488227018","display_name":null,"funder_award_id":"DE-AC05-00OR227","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G691578896","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7995982022","display_name":null,"funder_award_id":"DE-AC05","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8269158468","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8414908677","display_name":null,"funder_award_id":"DE-AC0","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8799952057","display_name":null,"funder_award_id":"DE-AC05-00OR22","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8906985441","display_name":null,"funder_award_id":"00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W44465109","https://openalex.org/W1587003203","https://openalex.org/W1653273292","https://openalex.org/W2049491375","https://openalex.org/W2069087118","https://openalex.org/W2076910098","https://openalex.org/W2077275352","https://openalex.org/W2111935653","https://openalex.org/W2134797427","https://openalex.org/W2221588520","https://openalex.org/W2293398095","https://openalex.org/W2294929133","https://openalex.org/W2302302587","https://openalex.org/W2419597278","https://openalex.org/W2470965540","https://openalex.org/W2604440528","https://openalex.org/W2611669764","https://openalex.org/W2762153201","https://openalex.org/W2766065766","https://openalex.org/W2767077319","https://openalex.org/W2781584470","https://openalex.org/W2788193959","https://openalex.org/W2796207838","https://openalex.org/W2796409016","https://openalex.org/W2808133870","https://openalex.org/W2844479918","https://openalex.org/W2895512264","https://openalex.org/W2900654702","https://openalex.org/W2902851082","https://openalex.org/W2908735595","https://openalex.org/W2913525628","https://openalex.org/W2913827553","https://openalex.org/W2952046647","https://openalex.org/W3101584733","https://openalex.org/W6601814988","https://openalex.org/W6679909955","https://openalex.org/W6717177883","https://openalex.org/W6757902040"],"related_works":["https://openalex.org/W3007579076","https://openalex.org/W3005049034","https://openalex.org/W2581399127","https://openalex.org/W2603037274","https://openalex.org/W3118776433","https://openalex.org/W3092249339","https://openalex.org/W2805045974","https://openalex.org/W2785105386","https://openalex.org/W3165070570","https://openalex.org/W2963113314","https://openalex.org/W2949493108","https://openalex.org/W3017286962","https://openalex.org/W2731619549","https://openalex.org/W2982944321","https://openalex.org/W3042766772","https://openalex.org/W2900042580","https://openalex.org/W2949382862","https://openalex.org/W2897656818","https://openalex.org/W3168345181","https://openalex.org/W3108426037"],"abstract_inverted_index":{"Deep":[0],"learning,":[1],"through":[2],"the":[3,48,56,90,164,173,192],"use":[4],"of":[5,30,33,92,118,122,163,168,194],"neural":[6,25,49,62,102,131,136],"networks,":[7],"has":[8,70,81],"demonstrated":[9],"remarkable":[10],"ability":[11],"to":[12,53,72,141,185,188,206],"automate":[13],"many":[14],"routine":[15],"tasks":[16],"when":[17],"presented":[18],"with":[19,89,114,138,191,202],"sufficient":[20],"data":[21,195,210],"for":[22,61,110,130,180],"training.":[23],"The":[24,59,79,156],"network":[26,50,63,103,137],"architecture":[27,132],"(e.g.":[28],"number":[29],"layers,":[31,34,37],"types":[32],"connections":[35],"between":[36],"etc.)":[38],"plays":[39],"a":[40,111,135,145],"critical":[41],"role":[42],"in":[43,158],"determining":[44],"what,":[45],"if":[46],"anything,":[47],"is":[51,150,160,214],"able":[52],"learn":[54],"from":[55],"training":[57],"data.":[58],"trend":[60],"architectures,":[64],"especially":[65],"those":[66],"trained":[67],"on":[68,86,144],"ImageNet,":[69],"been":[71,82],"grow":[73],"ever":[74,83],"deeper":[75],"and":[76,120,166],"more":[77],"complex.":[78],"result":[80],"increasing":[84],"accuracy":[85,117,140],"benchmark":[87],"datasets":[88],"cost":[91],"increased":[93],"computational":[94,204],"demands.":[95],"In":[96],"this":[97],"paper":[98],"we":[99],"demonstrate":[100],"that":[101,149],"architectures":[104],"can":[105],"be":[106],"automatically":[107],"generated,":[108],"tailored":[109],"specific":[112],"application,":[113],"dual":[115],"objectives:":[116],"prediction":[119],"speed":[121],"prediction.":[123],"Using":[124],"MENNDL-":[125],"an":[126],"HPC-enabled":[127],"software":[128],"stack":[129],"search-we":[133],"generate":[134],"comparable":[139],"state-of-the-art":[142,175],"networks":[143,176],"cancer":[146,169],"pathology":[147,170],"dataset":[148],"also":[151],"16\u00d7":[152],"faster":[153,211],"at":[154],"inference.":[155],"speedup":[157],"inference":[159],"necessary":[161],"because":[162],"volume":[165],"velocity":[167],"data;":[171],"specifically,":[172],"previous":[174],"are":[177],"too":[178],"slow":[179],"individual":[181],"researchers":[182,201],"without":[183],"access":[184],"HPC":[186],"systems":[187],"keep":[189],"pace":[190],"rate":[193],"generation.":[196],"Our":[197],"new":[198],"model":[199],"enables":[200],"modest":[203],"resources":[205],"analyze":[207],"newly":[208],"generated":[209],"than":[212],"it":[213],"collected.":[215]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
