{"id":"https://openalex.org/W4361934009","doi":"https://doi.org/10.1158/1078-0432.22470492","title":"Figure S1 from Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging","display_name":"Figure S1 from Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging","publication_year":2023,"publication_date":"2023-03-31","ids":{"openalex":"https://openalex.org/W4361934009","doi":"https://doi.org/10.1158/1078-0432.22470492"},"language":"en","primary_location":{"id":"doi:10.1158/1078-0432.22470492","doi":"https://doi.org/10.1158/1078-0432.22470492","is_oa":true,"landing_page_url":"https://doi.org/10.1158/1078-0432.22470492","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"American Association for Cancer Research","raw_type":"posted-content"},"volume":null,"type":"other","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1158/1078-0432.22470492","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101933970","display_name":"Yiwen Xu","orcid":"https://orcid.org/0000-0002-8546-1521","observed_orcids":["https://orcid.org/0000-0002-8546-1521"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiwen Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057166759","display_name":"Ahmed Hosny","orcid":"https://orcid.org/0000-0002-1844-481X","observed_orcids":["https://orcid.org/0000-0002-1844-481X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Hosny","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031598443","display_name":"Roman Zeleznik","orcid":"https://orcid.org/0000-0002-2433-9151","observed_orcids":["https://orcid.org/0000-0002-2433-9151"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roman Zeleznik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049138051","display_name":"Chintan Parmar","orcid":"https://orcid.org/0000-0002-2140-814X","observed_orcids":["https://orcid.org/0000-0002-2140-814X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chintan Parmar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035783191","display_name":"Thibaud P. Coroller","orcid":"https://orcid.org/0000-0001-7662-8724","observed_orcids":["https://orcid.org/0000-0001-7662-8724"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thibaud Coroller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040597427","display_name":"Idalid \u201cIvy\u201d Franco","orcid":"https://orcid.org/0000-0002-0665-3729","observed_orcids":["https://orcid.org/0000-0002-0665-3729"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Idalid Franco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064724289","display_name":"Raymond H. Mak","orcid":"https://orcid.org/0000-0002-8754-0565","observed_orcids":["https://orcid.org/0000-0002-8754-0565"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raymond H. Mak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001452511","display_name":"Hugo J.W.L. Aerts","orcid":"https://orcid.org/0000-0002-2122-2003","observed_orcids":["https://orcid.org/0000-0002-2122-2003"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hugo J.W.L. Aerts","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9824000000953674,"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":0.9824000000953674,"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/T10862","display_name":"AI in cancer detection","score":0.008899999782443047,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.006399999838322401,"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/lung-cancer","display_name":"lung cancer","score":0.9929999709129333},{"id":"https://openalex.org/keywords/treatment-response-prediction","display_name":"treatment response prediction","score":0.9559999704360962},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7609999775886536},{"id":"https://openalex.org/keywords/radiotherapy","display_name":"radiotherapy","score":0.8560000061988831},{"id":"https://openalex.org/keywords/follow-up-imaging","display_name":"follow-up imaging","score":0.7549999952316284},{"id":"https://openalex.org/keywords/pre-treatment-imaging","display_name":"pre-treatment imaging","score":0.5630000233650208}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6846958994865417},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.541623592376709},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.5144965648651123},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.49030807614326477},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.44369930028915405},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4148789346218109},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.2536872625350952},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23554173111915588}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1158/1078-0432.22470492","doi":"https://doi.org/10.1158/1078-0432.22470492","is_oa":true,"landing_page_url":"https://doi.org/10.1158/1078-0432.22470492","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"American Association for Cancer Research","raw_type":"posted-content"},{"id":"doi:10.1158/1078-0432.22470492.v1","doi":"https://doi.org/10.1158/1078-0432.22470492.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1158/1078-0432.22470492.v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"American Association for Cancer Research","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1158/1078-0432.22470492","doi":"https://doi.org/10.1158/1078-0432.22470492","is_oa":true,"landing_page_url":"https://doi.org/10.1158/1078-0432.22470492","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"American Association for Cancer Research","raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4361979198","https://openalex.org/W4361952888","https://openalex.org/W3164567202","https://openalex.org/W4244049456","https://openalex.org/W2320174596","https://openalex.org/W2940487144","https://openalex.org/W2560298757","https://openalex.org/W7137935208","https://openalex.org/W6939542718","https://openalex.org/W4225316111"],"abstract_inverted_index":{"Patient":[0],"Missed":[1],"Scans.":[2],"Not":[3],"all":[4],"patients":[5],"received":[6],"scans":[7,19],"within":[8],"the":[9,27],"defined":[10],"time":[11],"frame":[12],"for":[13,20,26],"follow-up.":[14],"Blue":[15],"rectangles":[16],"indicate":[17],"missed":[18],"each":[21],"patient":[22],"in":[23],"Dataset":[24],"A":[25],"pretreatment":[28],"and":[29,36],"subsequent":[30],"follow-ups":[31],"at":[32],"around":[33],"1,":[34],"3,":[35],"6":[37],"months":[38],"post":[39],"radiation":[40],"therapy.":[41]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-04-05T00:00:00"}