{"id":"https://openalex.org/W2697555722","doi":"https://doi.org/10.1109/isbi.2017.7950735","title":"Identifying the primary site of origin of MRI brain metastases from lung and breast cancer following a 2D radiomics approach","display_name":"Identifying the primary site of origin of MRI brain metastases from lung and breast cancer following a 2D radiomics approach","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2697555722","doi":"https://doi.org/10.1109/isbi.2017.7950735","mag":"2697555722"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049849763","display_name":"Rafael Ortiz-Ram\u00f3n","orcid":"https://orcid.org/0000-0002-0654-3028"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Ortiz-Ramon","raw_affiliation_strings":["Center for Biomaterials and Tissue Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomaterials and Tissue Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003973442","display_name":"Andr\u00e9s Larroza","orcid":"https://orcid.org/0000-0003-2182-3930"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andres Larroza","raw_affiliation_strings":["Department of Medicine, Universitat de Val\u00e8ncia, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Universitat de Val\u00e8ncia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049739186","display_name":"Estanislao Arana","orcid":"https://orcid.org/0000-0002-1884-7854"},"institutions":[{"id":"https://openalex.org/I4210103093","display_name":"Fundaci\u00f3n Instituto Valenciano de Oncolog\u00eda","ror":"https://ror.org/01fh9k283","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210103093"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Estanislao Arana","raw_affiliation_strings":["Department of Radiology, Fundaci\u00f3n Instituto Valenciano de Oncolog\u00eda, Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Fundaci\u00f3n Instituto Valenciano de Oncolog\u00eda, Valencia, Spain","institution_ids":["https://openalex.org/I4210103093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039695934","display_name":"David Moratal","orcid":"https://orcid.org/0000-0002-2825-3646"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Moratal","raw_affiliation_strings":["Center for Biomaterials and Tissue Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomaterials and Tissue Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1216"},"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":1.0,"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":1.0,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9976999759674072,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.7921536564826965},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7315482497215271},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5845342874526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5688011050224304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387848615646362},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.49799299240112305},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.49292850494384766},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4757399559020996},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.46631014347076416},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4347992241382599},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4203472137451172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42005449533462524},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2809438109397888},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.23030534386634827},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.11381840705871582},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10002228617668152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09236451983451843}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.7921536564826965},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7315482497215271},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5845342874526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5688011050224304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387848615646362},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.49799299240112305},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.49292850494384766},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4757399559020996},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.46631014347076416},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4347992241382599},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4203472137451172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42005449533462524},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2809438109397888},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.23030534386634827},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.11381840705871582},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10002228617668152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09236451983451843}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307502","display_name":"American Concrete Institute Foundation","ror":"https://ror.org/02a207p76"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W184906668","https://openalex.org/W1932538161","https://openalex.org/W1964634957","https://openalex.org/W1970706614","https://openalex.org/W1977738564","https://openalex.org/W2016908822","https://openalex.org/W2069816479","https://openalex.org/W2090266811","https://openalex.org/W2097475056","https://openalex.org/W2099698084","https://openalex.org/W2107956883","https://openalex.org/W2116531017","https://openalex.org/W2119440128","https://openalex.org/W2128739912","https://openalex.org/W2174661749","https://openalex.org/W2185805785","https://openalex.org/W2207642946","https://openalex.org/W2248644291","https://openalex.org/W2533301708"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W3030796519","https://openalex.org/W4383892348","https://openalex.org/W2149187843"],"abstract_inverted_index":{"Detection":[0],"of":[1,24,31,46,60,67,71,76,105,110],"brain":[2,61],"metastases":[3,62],"in":[4],"patients":[5],"with":[6,125,134],"undiagnosed":[7],"primary":[8],"cancer":[9,22],"is":[10,26],"unusual":[11],"but":[12],"still":[13],"an":[14],"existing":[15],"phenomenon.":[16],"In":[17,51],"these":[18],"cases,":[19],"identifying":[20],"the":[21,84,100,131,140],"site":[23],"origin":[25],"non-feasible":[27],"by":[28],"visual":[29],"examination":[30],"magnetic":[32],"resonance":[33],"(MR)":[34],"images.":[35],"Recently,":[36],"radiomics":[37,78],"has":[38],"been":[39],"proposed":[40],"to":[41,98],"analyze":[42],"differences":[43],"among":[44],"classes":[45],"visually":[47],"imperceptible":[48],"imaging":[49],"characteristics.":[50],"this":[52],"study":[53],"we":[54],"analyzed":[55],"46":[56],"T1-weighted":[57],"MR":[58],"images":[59],"from":[63,83,139],"29":[64,66],"patients:":[65],"lung":[68],"and":[69,91],"17":[70],"breast":[72],"origin.":[73],"A":[74],"total":[75],"43":[77],"texture":[79,111,136],"features":[80,112,137],"were":[81,96],"extracted":[82],"metastatic":[85],"lesions.":[86],"Support":[87],"vector":[88],"machine":[89],"(SVM)":[90],"k-nearest":[92],"neighbors":[93],"(k-NN)":[94],"classifiers":[95],"implemented":[97],"evaluate":[99],"classification":[101,118],"performance.":[102],"The":[103,116],"influence":[104],"gray-level":[106,142],"quantization":[107,143],"for":[108],"computation":[109],"was":[113,128],"also":[114],"examined.":[115],"best":[117],"(AUC":[119],"=":[120],"0.953":[121],"\u00b1":[122],"0.061),":[123],"evaluated":[124],"nested":[126],"cross-validation,":[127],"obtained":[129],"using":[130],"SVM":[132],"classifier":[133],"two":[135],"derived":[138],"16":[141],"co-occurrence":[144],"matrix.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
