{"id":"https://openalex.org/W4401797281","doi":"https://doi.org/10.1109/isbi56570.2024.10635163","title":"Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization","display_name":"Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401797281","doi":"https://doi.org/10.1109/isbi56570.2024.10635163"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635163","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070547750","display_name":"Forest Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Forest Yang","raw_affiliation_strings":["UC Berkeley,Berkeley,CA,USA"],"affiliations":[{"raw_affiliation_string":"UC Berkeley,Berkeley,CA,USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078885080","display_name":"Skander Jemaa","orcid":"https://orcid.org/0009-0009-3627-7670"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Skander Jemaa","raw_affiliation_strings":["Genentech,South San Francisco,CA,USA"],"affiliations":[{"raw_affiliation_string":"Genentech,South San Francisco,CA,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091515666","display_name":"Thomas Bengtsson","orcid":"https://orcid.org/0000-0002-9667-8873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Bengtsson","raw_affiliation_strings":["N-Power Medicine,Redwood City,CA,USA"],"affiliations":[{"raw_affiliation_string":"N-Power Medicine,Redwood City,CA,USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069598493","display_name":"Laurent El Ghaoui","orcid":"https://orcid.org/0000-0002-0499-5610"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laurent El Ghaoui","raw_affiliation_strings":["UC Berkeley,Berkeley,CA,USA"],"affiliations":[{"raw_affiliation_string":"UC Berkeley,Berkeley,CA,USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070547750"],"corresponding_institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22896642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9976000189781189,"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/T10862","display_name":"AI in cancer detection","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.7592566013336182},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5597801208496094},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.5538794994354248},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.5304630994796753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5226321220397949},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.48758071660995483},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.4363323450088501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4329517185688019},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3811253309249878},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.25070974230766296},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.190146803855896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0909157395362854}],"concepts":[{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.7592566013336182},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5597801208496094},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5538794994354248},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.5304630994796753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5226321220397949},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48758071660995483},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4363323450088501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4329517185688019},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3811253309249878},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.25070974230766296},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.190146803855896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0909157395362854},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635163","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2151204647","https://openalex.org/W2616247523","https://openalex.org/W2753919178","https://openalex.org/W2798890825","https://openalex.org/W2803760365","https://openalex.org/W2903150666","https://openalex.org/W2940487144","https://openalex.org/W2954512644","https://openalex.org/W2999106318","https://openalex.org/W3024107846","https://openalex.org/W3091950527","https://openalex.org/W3102564565","https://openalex.org/W3214055905","https://openalex.org/W4288068240","https://openalex.org/W4315749947"],"related_works":["https://openalex.org/W2506292322","https://openalex.org/W4283209547","https://openalex.org/W4367627632","https://openalex.org/W653452717","https://openalex.org/W2554445088","https://openalex.org/W2621003306","https://openalex.org/W2335661150","https://openalex.org/W1595456161","https://openalex.org/W4210478379","https://openalex.org/W4398249066"],"abstract_inverted_index":{"We":[0,40],"propose":[1],"to":[2,27,36,70],"perform":[3],"cancer":[4],"prognosis":[5],"via":[6],"lesion":[7,32,56,74],"prioritization,":[8],"which":[9],"proceeds":[10],"in":[11,49,62],"two":[12],"steps.":[13],"First,":[14],"a":[15,50],"deep":[16,46],"neural":[17],"network":[18],"is":[19],"run":[20],"on":[21],"CT":[22],"image":[23],"patches":[24],"containing":[25],"lesions":[26],"predict":[28],"lesion-level":[29],"risks.":[30],"Then,":[31],"risks":[33,57],"are":[34],"aggregated":[35],"form":[37],"patient":[38],"risk.":[39],"show":[41],"our":[42],"approach":[43],"outperforms":[44],"other":[45],"learning-based":[47],"approaches":[48],"low":[51],"data":[52],"regime":[53],"and":[54,66],"utilize":[55],"for":[58],"interpretability,":[59],"showing":[60],"presence":[61],"bone,":[63],"growth":[64],"likelihood,":[65],"lung":[67],"containment":[68],"margin":[69],"be":[71],"potential":[72],"survival-relevant":[73],"features":[75],"detected":[76],"by":[77],"the":[78],"model.":[79]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
