{"id":"https://openalex.org/W4413277862","doi":"https://doi.org/10.1109/tmi.2025.3599197","title":"Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET/CT Imaging","display_name":"Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET/CT Imaging","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413277862","doi":"https://doi.org/10.1109/tmi.2025.3599197","pmid":"https://pubmed.ncbi.nlm.nih.gov/40824976"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3599197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3599197","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5075338951","display_name":"Yaozong Gao","orcid":"https://orcid.org/0000-0002-7547-5209"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozong Gao","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7547-5209","affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083551319","display_name":"Yiran Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Shu","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-8255-6583","affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingyang Yu","orcid":"https://orcid.org/0009-0002-1811-2388"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Yu","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-1811-2388","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanbo Chen","orcid":"https://orcid.org/0009-0002-8487-1243"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbo Chen","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-8487-1243","affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingyu Liu","orcid":"https://orcid.org/0000-0002-1705-3921"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Liu","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1705-3921","affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaonan Zhong","orcid":"https://orcid.org/0000-0003-1648-1489"},"institutions":[{"id":"https://openalex.org/I4210098361","display_name":"First Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00z0j0d77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098361"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaonan Zhong","raw_affiliation_strings":["Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China","Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, No.28, Qiaozhong Middle Road, Liwan District, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1648-1489","affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]},{"raw_affiliation_string":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, No.28, Qiaozhong Middle Road, Liwan District, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798258","display_name":"Weifang Zhang","orcid":"https://orcid.org/0000-0002-8421-1395"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]},{"id":"https://openalex.org/I4210161752","display_name":"Beijing Haidian Hospital","ror":"https://ror.org/058x5eq06","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifang Zhang","raw_affiliation_strings":["Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China","Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942","https://openalex.org/I4210161752"]},{"raw_affiliation_string":"Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826377","display_name":"Yiqiang Zhan","orcid":"https://orcid.org/0000-0001-5815-9725"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Zhan","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100904217","display_name":"Xiang Sean Zhou","orcid":"https://orcid.org/0009-0006-7477-4094"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Sean Zhou","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773721","display_name":"Xinlu Wang","orcid":"https://orcid.org/0000-0003-1997-5687"},"institutions":[{"id":"https://openalex.org/I4210098361","display_name":"First Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00z0j0d77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098361"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlu Wang","raw_affiliation_strings":["Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China","Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, No.28, Qiaozhong Middle Road, Liwan District, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]},{"raw_affiliation_string":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, No.28, Qiaozhong Middle Road, Liwan District, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104024273","display_name":"Meixin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]},{"id":"https://openalex.org/I4210161752","display_name":"Beijing Haidian Hospital","ror":"https://ror.org/058x5eq06","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixin Zhao","raw_affiliation_strings":["Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China","Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3727-5943","affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942","https://openalex.org/I4210161752"]},{"raw_affiliation_string":"Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25062744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"1","first_page":"391","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9988999962806702,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/whole-body-imaging","display_name":"Whole body imaging","score":0.6476099491119385},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5445088148117065},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.5308954119682312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.499164342880249},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.45999228954315186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44705668091773987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.442410409450531},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.44064509868621826},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.35267844796180725},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.26265692710876465},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21639099717140198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1981140375137329}],"concepts":[{"id":"https://openalex.org/C2776410896","wikidata":"https://www.wikidata.org/wiki/Q7997551","display_name":"Whole body imaging","level":3,"score":0.6476099491119385},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5445088148117065},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.5308954119682312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499164342880249},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.45999228954315186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44705668091773987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.442410409450531},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.44064509868621826},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.35267844796180725},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26265692710876465},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21639099717140198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1981140375137329}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3599197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3599197","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40824976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40824976","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,"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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1832674665","display_name":null,"funder_award_id":"82441023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2690246104","display_name":null,"funder_award_id":"62131015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5981610864","display_name":null,"funder_award_id":"82394432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7163824119","display_name":null,"funder_award_id":"U23A20295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2096733369","https://openalex.org/W2194775991","https://openalex.org/W2883683269","https://openalex.org/W2886327376","https://openalex.org/W2894049115","https://openalex.org/W2904711804","https://openalex.org/W2907066882","https://openalex.org/W2962914239","https://openalex.org/W2963446712","https://openalex.org/W2963834202","https://openalex.org/W2971017576","https://openalex.org/W2994824962","https://openalex.org/W3014974815","https://openalex.org/W3024545783","https://openalex.org/W3097096317","https://openalex.org/W3183338453","https://openalex.org/W3200579823","https://openalex.org/W3201906559","https://openalex.org/W4220826373","https://openalex.org/W4290716922","https://openalex.org/W4293479414","https://openalex.org/W4300979672","https://openalex.org/W4312266387","https://openalex.org/W4312533035","https://openalex.org/W4377138810","https://openalex.org/W4383218413","https://openalex.org/W4385573131","https://openalex.org/W4385574195","https://openalex.org/W4386566421","https://openalex.org/W4387211350","https://openalex.org/W4390874575","https://openalex.org/W4390889814","https://openalex.org/W4391109864","https://openalex.org/W4398157498"],"related_works":["https://openalex.org/W1965747368","https://openalex.org/W4246793367","https://openalex.org/W2075388011","https://openalex.org/W2074037842","https://openalex.org/W3023645862","https://openalex.org/W4409790615","https://openalex.org/W2471562626","https://openalex.org/W2461863667","https://openalex.org/W2295804706","https://openalex.org/W3168515805"],"abstract_inverted_index":{"Automatic":[0],"anatomical":[1,18,55,96,123,160],"localization":[2,36,56,107,151,211],"is":[3],"critical":[4],"for":[5,162],"radiology":[6,24],"report":[7],"generation.":[8],"While":[9],"many":[10],"studies":[11],"focus":[12],"on":[13,203,213,220],"lesion":[14,21,70,85,106],"detection":[15],"and":[16,37,91,149,166,170,180,218],"segmentation,":[17],"localization-accurately":[19],"describing":[20],"positions":[22],"in":[23,40,78,98,240],"reports-has":[25],"received":[26],"less":[27],"attention.":[28],"Conventional":[29],"segmentation-based":[30,246],"methods":[31],"are":[32,118],"limited":[33],"to":[34,45,143,245],"organ-level":[35],"often":[38],"fail":[39],"severe":[41],"disease":[42],"cases":[43,243],"due":[44],"low":[46],"segmentation":[47],"accuracy.":[48],"To":[49],"address":[50],"these":[51],"limitations,":[52],"we":[53,63],"reformulate":[54],"as":[57,119],"an":[58,209],"image-to-text":[59],"retrieval":[60],"task.":[61],"Specifically,":[62],"propose":[64],"a":[65,79,99,130,226],"CLIP-based":[66],"framework":[67,235],"that":[68,191],"aligns":[69],"image":[71],"patches":[72],"with":[73,108,225],"anatomically":[74],"descriptive":[75],"text":[76],"embeddings":[77],"shared":[80],"multimodal":[81],"space.":[82],"By":[83],"projecting":[84],"features":[86],"into":[87,129],"the":[88,93,112,136,146,186,214,221],"semantic":[89,164,197],"space":[90,148],"retrieving":[92,134],"most":[94],"relevant":[95],"descriptions":[97],"coarse-to-fine":[100],"manner,":[101],"our":[102,201],"method":[103,202],"achieves":[104],"fine-grained":[105],"high":[109],"accuracy":[110,212],"across":[111],"entire":[113],"body.":[114],"Our":[115],"main":[116],"contributions":[117],"follows:":[120],"(1)":[121],"hierarchical":[122],"retrieval,":[124],"which":[125,157,176],"organizes":[126],"387":[127],"locations":[128],"two-level":[131],"hierarchy,":[132],"by":[133,183],"from":[135],"first":[137],"level":[138],"of":[139,230],"124":[140],"coarse":[141],"categories":[142],"narrow":[144],"down":[145],"search":[147],"reduce":[150],"complexity;":[152],"(2)":[153],"augmented":[154],"location":[155],"descriptions,":[156],"integrate":[158],"domain-specific":[159],"knowledge":[161],"enhancing":[163],"representation":[165],"improving":[167],"visual-text":[168],"alignment;":[169],"(3)":[171],"semi-hard":[172],"negative":[173,189],"sample":[174],"mining,":[175],"improves":[177],"training":[178],"stability":[179],"discriminative":[181],"learning":[182],"avoiding":[184],"selecting":[185],"overly":[187],"similar":[188],"samples":[190],"may":[192],"introduce":[193],"label":[194],"noise":[195],"or":[196],"ambiguity.":[198],"We":[199],"validate":[200],"two":[204],"whole-body":[205],"PET/CT":[206],"datasets,":[207],"achieving":[208],"84.13%":[210],"internal":[215],"test":[216,223],"set":[217],"80.42%":[219],"external":[222],"set,":[224],"per-lesion":[227],"inference":[228],"time":[229],"34":[231],"ms.":[232],"The":[233],"proposed":[234],"also":[236],"demonstrated":[237],"superior":[238],"robustness":[239],"complex":[241],"clinical":[242],"compared":[244],"approaches.":[247]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
