{"id":"https://openalex.org/W4283323360","doi":"https://doi.org/10.3389/fmed.2022.915243","title":"Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning","display_name":"Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283323360","doi":"https://doi.org/10.3389/fmed.2022.915243","pmid":"https://pubmed.ncbi.nlm.nih.gov/35814761","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9259876"},"language":"en","primary_location":{"id":"doi:10.3389/fmed.2022.915243","doi":"https://doi.org/10.3389/fmed.2022.915243","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fmed.2022.915243","pdf_url":null,"source":{"id":"https://openalex.org/S2597052008","display_name":"Frontiers in Medicine","issn_l":"2296-858X","issn":["2296-858X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3389/fmed.2022.915243","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085653895","display_name":"Turkey Refaee","orcid":"https://orcid.org/0000-0001-6605-1845","observed_orcids":["https://orcid.org/0000-0001-6605-1845"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]},{"id":"https://openalex.org/I91450128","display_name":"Jazan University","ror":"https://ror.org/02bjnq803","country_code":"SA","type":"education","lineage":["https://openalex.org/I91450128"]}],"countries":["NL","SA"],"is_corresponding":true,"raw_author_name":"Turkey Refaee","raw_affiliation_strings":["Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia","The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia","institution_ids":["https://openalex.org/I91450128"]},{"raw_affiliation_string":"The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034894826","display_name":"Zohaib Salahuddin","orcid":"https://orcid.org/0000-0002-9900-329X","observed_orcids":["https://orcid.org/0000-0002-9900-329X"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zohaib Salahuddin","raw_affiliation_strings":["The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032202100","display_name":"Anne-No\u00eblle Frix","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210134544","display_name":"Centre Hospitalier Universitaire de Li\u00e8ge","ror":"https://ror.org/044s61914","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I4210134544"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Anne-Noelle Frix","raw_affiliation_strings":["Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium","institution_ids":["https://openalex.org/I4210134544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023469305","display_name":"Chenggong Yan","orcid":"https://orcid.org/0000-0002-2968-4595","observed_orcids":["https://orcid.org/0000-0002-2968-4595"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]},{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN","NL"],"is_corresponding":false,"raw_author_name":"Chenggong Yan","raw_affiliation_strings":["Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China","The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I4210103346","https://openalex.org/I58200834"]},{"raw_affiliation_string":"The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827264","display_name":"Guangyao Wu","orcid":"https://orcid.org/0000-0003-0658-2956","observed_orcids":["https://orcid.org/0000-0003-0658-2956"]},"institutions":[{"id":"https://openalex.org/I4210129222","display_name":"Wuhan Union Hospital","ror":"https://ror.org/0371fqr87","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129222"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyao Wu","raw_affiliation_strings":["Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I4210129222","https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001892623","display_name":"Henry C. Woodruff","orcid":"https://orcid.org/0000-0001-7911-5123","observed_orcids":["https://orcid.org/0000-0001-7911-5123"]},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2800191616"]},{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henry C. Woodruff","raw_affiliation_strings":["Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands","The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands","institution_ids":["https://openalex.org/I2800191616","https://openalex.org/I34352273"]},{"raw_affiliation_string":"The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019398390","display_name":"Hester A. Gietema","orcid":"https://orcid.org/0000-0001-6077-1446","observed_orcids":["https://orcid.org/0000-0001-6077-1446","https://orcid.org/0000-0001-7036-3307"]},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2800191616"]},{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hester Gietema","raw_affiliation_strings":["Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands","institution_ids":["https://openalex.org/I2800191616","https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044070598","display_name":"Paul Meunier","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210134544","display_name":"Centre Hospitalier Universitaire de Li\u00e8ge","ror":"https://ror.org/044s61914","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I4210134544"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paul Meunier","raw_affiliation_strings":["Department of Radiology, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium","institution_ids":["https://openalex.org/I4210134544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030456446","display_name":"Renaud E. Louis","orcid":"https://orcid.org/0000-0002-4737-9084","observed_orcids":["https://orcid.org/0000-0002-4737-9084"]},"institutions":[{"id":"https://openalex.org/I4210134544","display_name":"Centre Hospitalier Universitaire de Li\u00e8ge","ror":"https://ror.org/044s61914","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I4210134544"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Renaud Louis","raw_affiliation_strings":["Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium","institution_ids":["https://openalex.org/I4210134544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034513324","display_name":"Julien Guiot","orcid":"https://orcid.org/0000-0001-7800-1730","observed_orcids":["https://orcid.org/0000-0001-7800-1730"]},"institutions":[{"id":"https://openalex.org/I4210134544","display_name":"Centre Hospitalier Universitaire de Li\u00e8ge","ror":"https://ror.org/044s61914","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I4210134544"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Julien Guiot","raw_affiliation_strings":["Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory Medicine, University Hospital of Li\u00e8ge, Li\u00e8ge, Belgium","institution_ids":["https://openalex.org/I4210134544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058987737","display_name":"Philippe Lambin","orcid":"https://orcid.org/0000-0001-7961-0191","observed_orcids":["https://orcid.org/0000-0001-7961-0191","https://orcid.org/0000-0002-9034-0177"]},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2800191616"]},{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Philippe Lambin","raw_affiliation_strings":["Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands","The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands","institution_ids":["https://openalex.org/I2800191616","https://openalex.org/I34352273"]},{"raw_affiliation_string":"The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5085653895"],"corresponding_institution_ids":["https://openalex.org/I34352273","https://openalex.org/I91450128"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":4.1274,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95482202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"915243","last_page":"915243"},"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":0.9735999703407288,"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":0.9735999703407288,"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/T10870","display_name":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T13759","display_name":"Medical Imaging and Pathology Studies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/idiopathic-pulmonary-fibrosis","display_name":"idiopathic pulmonary fibrosis","score":0.9359999895095825},{"id":"https://openalex.org/keywords/interstitial-lung-disease","display_name":"interstitial lung disease","score":0.9869999885559082},{"id":"https://openalex.org/keywords/high-resolution-computed-tomography","display_name":"high-resolution computed tomography","score":0.8939999938011169},{"id":"https://openalex.org/keywords/radiomics","display_name":"radiomics","score":0.8109999895095825},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9010000228881836},{"id":"https://openalex.org/keywords/automated-diagnosis","display_name":"automated diagnosis","score":0.8650000095367432},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.8040000200271606},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.7860000133514404},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.7390000224113464},{"id":"https://openalex.org/keywords/grad-cam","display_name":"Grad-CAM","score":0.9570000171661377},{"id":"https://openalex.org/keywords/radiologist-performance-comparison","display_name":"radiologist performance comparison","score":0.6499999761581421},{"id":"https://openalex.org/keywords/texture-analysis","display_name":"texture analysis","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8847795724868774},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.7505441904067993},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5906814336776733},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5863470435142517},{"id":"https://openalex.org/C2777524225","wikidata":"https://www.wikidata.org/wiki/Q4230125","display_name":"High-resolution computed tomography","level":3,"score":0.5754959583282471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5180240273475647},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4343321919441223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36512279510498047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20773059129714966},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09086763858795166},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.06806197762489319}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3389/fmed.2022.915243","doi":"https://doi.org/10.3389/fmed.2022.915243","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fmed.2022.915243","pdf_url":null,"source":{"id":"https://openalex.org/S2597052008","display_name":"Frontiers in Medicine","issn_l":"2296-858X","issn":["2296-858X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Medicine","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9259876","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9259876/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9259876/pdf/","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Front Med (Lausanne)","raw_type":"Text"},{"id":"pmid:35814761","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35814761","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/57d2aea7-edaf-4426-8fa1-42db22207559","doi":null,"is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/57d2aea7-edaf-4426-8fa1-42db22207559","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Refaee, T, Salahuddin, Z, Frix, A-N, Yan, C, Wu, G, Woodruff, H C, Gietema, H, Meunier, P, Louis, R, Guiot, J & Lambin, P 2022, 'Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning', Frontiers in medicine, vol. 9, 915243. https://doi.org/10.3389/fmed.2022.915243","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:abc44a2c85a042fe84e6f61dc79057fa","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/abc44a2c85a042fe84e6f61dc79057fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Medicine, Vol 9 (2022)","raw_type":"article"},{"id":"pmh:oai:orbi.ulg.ac.be:2268/293379","doi":null,"is_oa":true,"landing_page_url":"https://orbi.uliege.be/handle/2268/293379","pdf_url":null,"source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Medicine, 9 (2022-06-23)","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/57d2aea7-edaf-4426-8fa1-42db22207559","doi":null,"is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/57d2aea7-edaf-4426-8fa1-42db22207559","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in medicine, 9:915243. Frontiers Media S.A.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3389/fmed.2022.915243","doi":"https://doi.org/10.3389/fmed.2022.915243","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fmed.2022.915243","pdf_url":null,"source":{"id":"https://openalex.org/S2597052008","display_name":"Frontiers in Medicine","issn_l":"2296-858X","issn":["2296-858X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9537000060081482}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1298692384","display_name":null,"funder_award_id":"733008","funder_id":"https://openalex.org/F4320322777","funder_display_name":"KWF Kankerbestrijding"},{"id":"https://openalex.org/G1948331313","display_name":"A new era in personalised medicine: Radiomics as decision support tool for diagnostics and theragnostics in oncology","funder_award_id":"766276","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2719010513","display_name":"Optimal treatment for patients with solid tumours in Europe through Artificial intelligence","funder_award_id":"101034347","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G316303476","display_name":null,"funder_award_id":"952172","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4737948240","display_name":"A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology","funder_award_id":"952103","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4972494927","display_name":null,"funder_award_id":"733008","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G5179897216","display_name":null,"funder_award_id":"766276","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G5191431762","display_name":null,"funder_award_id":"14449/2021-PoC","funder_id":"https://openalex.org/F4320322777","funder_display_name":"KWF Kankerbestrijding"},{"id":"https://openalex.org/G5499899087","display_name":null,"funder_award_id":"101034347","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5502825838","display_name":"Clinical proof of concept through a randomised phase II study: a combination of immunotherapy and stereotactic ablative radiotherapy as a curative treatment for limited metastatic lung cancer","funder_award_id":"733008","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6312154262","display_name":null,"funder_award_id":"ERC-ADG-2015 694812","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G6632400785","display_name":"KidnAI: Automatische detectie, segmentatie en classificatie van laesies in abdominale medische beeldvorming - naar een virtuele biopsie","funder_award_id":"14449","funder_id":"https://openalex.org/F4320322777","funder_display_name":"KWF Kankerbestrijding"},{"id":"https://openalex.org/G7202388024","display_name":"Accelerating the lab to market transition of AI tools for cancer management","funder_award_id":"952172","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8148170077","display_name":null,"funder_award_id":"952013","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G8535596019","display_name":"A fully automated deep learning-based software for fast, robust and accurate detection and segmentation of tumours and metastasis","funder_award_id":"957565","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322777","display_name":"KWF Kankerbestrijding","ror":"https://ror.org/0368jnd28"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283323360.pdf","grobid_xml":"https://content.openalex.org/works/W4283323360.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1239143784","https://openalex.org/W2094932363","https://openalex.org/W2116000536","https://openalex.org/W2117488044","https://openalex.org/W2125079712","https://openalex.org/W2128739912","https://openalex.org/W2149661971","https://openalex.org/W2167383172","https://openalex.org/W2174661749","https://openalex.org/W2599075603","https://openalex.org/W2618851150","https://openalex.org/W2763355946","https://openalex.org/W2781702938","https://openalex.org/W2889197569","https://openalex.org/W2891706393","https://openalex.org/W2896844611","https://openalex.org/W2914531051","https://openalex.org/W2915510464","https://openalex.org/W2915540738","https://openalex.org/W2919115771","https://openalex.org/W2925031052","https://openalex.org/W2944540533","https://openalex.org/W2952058328","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2965399740","https://openalex.org/W2998789541","https://openalex.org/W3004476491","https://openalex.org/W3008530522","https://openalex.org/W3020992444","https://openalex.org/W3028711397","https://openalex.org/W3032938107","https://openalex.org/W3139508154","https://openalex.org/W3158487647","https://openalex.org/W3184751587","https://openalex.org/W3193956823","https://openalex.org/W3211317523","https://openalex.org/W4205612390","https://openalex.org/W6912412674"],"related_works":["https://openalex.org/W3096648474","https://openalex.org/W4242632670","https://openalex.org/W4214715882","https://openalex.org/W4282841131","https://openalex.org/W7165561961","https://openalex.org/W4306690009","https://openalex.org/W4387566227","https://openalex.org/W4404090606","https://openalex.org/W4404090878","https://openalex.org/W4411428381"],"abstract_inverted_index":{"Purpose":[0],"To":[1],"develop":[2],"handcrafted":[3],"radiomics":[4],"(HCR)":[5],"and":[6,22,37,82,87,101,120,128,139,152,157,169,179,190,195,203,262,274,279,282,294,311,329,336,347],"deep":[7],"learning":[8,328],"(DL)":[9],"based":[10],"automated":[11],"diagnostic":[12,211],"tools":[13],"that":[14,314],"can":[15,332],"differentiate":[16],"between":[17,272],"idiopathic":[18],"pulmonary":[19],"fibrosis":[20],"(IPF)":[21],"non-IPF":[23,180,348],"interstitial":[24],"lung":[25],"diseases":[26],"(ILDs)":[27],"in":[28],"patients":[29,69],"using":[30,117],"high-resolution":[31],"computed":[32],"tomography":[33],"(HRCT)":[34],"scans.":[35,62],"Material":[36],"Methods":[38],"In":[39,144],"this":[40],"retrospective":[41],"study,":[42],"474":[43],"HRCT":[44,61],"scans":[45],"were":[46,90,131,292],"included":[47],"(mean":[48],"age,":[49],"64.10":[50],"years":[51],"\u00b1":[52,164,167,171,222],"9.57":[53],"[SD]).":[54],"Five-fold":[55],"cross-validation":[56],"was":[57,70,96,115,248,251,277],"performed":[58],"on":[59,104,182,244,318],"365":[60],"Furthermore,":[63],"an":[64,83],"external":[65,107,184],"dataset":[66],"comprising":[67],"109":[68],"used":[71,132],"as":[72,303,338],"a":[73,79,217],"test":[74,108,185,246],"set.":[75],"An":[76],"HCR":[77,86,138,148,156,194,256,273,330],"model,":[78,81,149,151],"DL":[80,88,140,150,158,196,264,275],"ensemble":[84,154,192,207,242],"of":[85,137,155,162,177,193,200,213,220,323,345],"model":[89,208,243,257,265,316],"developed.":[91],"A":[92],"virtual":[93],"in-silico":[94,229],"trial":[95],"conducted":[97],"with":[98],"two":[99],"radiologists":[100],"one":[102],"pulmonologist":[103],"the":[105,134,147,153,175,183,187,191,210,228,234,241,245,255,263,280,285,289,300,304,315,319,324,343],"same":[106],"set":[109,247],"for":[110,133,240,284,308,342],"performance":[111,114,212],"comparison.":[112],"The":[113,206,231,270],"compared":[116],"DeLong":[118],"method":[119],"McNemar":[121],"test.":[122],"Shapley":[123],"Additive":[124],"exPlanations":[125],"(SHAP)":[126],"plots":[127],"Grad-CAM":[129,312],"heatmaps":[130],"post-hoc":[135],"interpretability":[136],"models,":[141],"respectively.":[142,173,205,296],"Results":[143],"five-fold":[145],"cross-validation,":[146],"models":[159,197,276,290,331],"achieved":[160,198,216],"accuracies":[161,199],"76.2":[163],"6.8,":[165],"77.9":[166],"4.6,":[168],"85.2":[170],"2.7%,":[172],"For":[174],"diagnosis":[176,310,344],"IPF":[178,309,346],"ILDs":[181],"set,":[186],"HCR,":[188],"DL,":[189],"76.1,":[201],"77.9,":[202],"85.3%,":[204],"outperformed":[209],"clinicians":[214],"who":[215],"mean":[218],"accuracy":[219,281],"66.3":[221],"6.7%":[223],"(p":[224],"<":[225],"0.05)":[226],"during":[227],"trial.":[230],"area":[232],"under":[233],"receiver":[235],"operating":[236],"characteristic":[237],"curve":[238],"(AUC)":[239],"0.917":[249],"which":[250],"significantly":[252],"higher":[253],"than":[254],"(0.817,":[258],"p":[259,267],"=":[260,268],"0.02)":[261],"(0.823,":[266],"0.005).":[269],"agreement":[271],"61.4%,":[278],"specificity":[283],"predictions":[286],"when":[287],"both":[288],"agree":[291],"93":[293],"97%,":[295],"SHAP":[297],"analysis":[298],"showed":[299,313],"texture":[301],"features":[302,307],"most":[305],"important":[306],"focused":[317],"clinically":[320],"relevant":[321],"part":[322],"image.":[325],"Conclusion":[326],"Deep":[327],"complement":[333],"each":[334],"other":[335],"serve":[337],"useful":[339],"clinical":[340],"aids":[341],"ILDs.":[349]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2022-06-24T00:00:00"}
