{"id":"https://openalex.org/W3200517840","doi":"https://doi.org/10.1109/jbhi.2022.3181791","title":"DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT","display_name":"DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W3200517840","doi":"https://doi.org/10.1109/jbhi.2022.3181791","mag":"3200517840","pmid":"https://pubmed.ncbi.nlm.nih.gov/35696469"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3181791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3181791","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.07711","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022712090","display_name":"Mingyuan Meng","orcid":"https://orcid.org/0000-0002-9562-1613"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mingyuan Meng","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9562-1613","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090651086","display_name":"Bingxin Gu","orcid":"https://orcid.org/0000-0001-8813-836X"},"institutions":[{"id":"https://openalex.org/I133868755","display_name":"Shanghai Medical College of Fudan University","ror":"https://ror.org/01zntxs11","country_code":"CN","type":"education","lineage":["https://openalex.org/I133868755","https://openalex.org/I24943067"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210093194","display_name":"Fudan University Shanghai Cancer Center","ror":"https://ror.org/00my25942","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxin Gu","raw_affiliation_strings":["Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China","Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China","Center for Biomedical Imaging, Fudan University, Shanghai, China","Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China","Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8813-836X","affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China","institution_ids":["https://openalex.org/I4210093194"]},{"raw_affiliation_string":"Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I133868755"]},{"raw_affiliation_string":"Center for Biomedical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015039086","display_name":"Lei Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Bi","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9759-0200","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087860365","display_name":"Shaoli Song","orcid":"https://orcid.org/0000-0003-2544-7522"},"institutions":[{"id":"https://openalex.org/I133868755","display_name":"Shanghai Medical College of Fudan University","ror":"https://ror.org/01zntxs11","country_code":"CN","type":"education","lineage":["https://openalex.org/I133868755","https://openalex.org/I24943067"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210093194","display_name":"Fudan University Shanghai Cancer Center","ror":"https://ror.org/00my25942","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoli Song","raw_affiliation_strings":["Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China","Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China","Center for Biomedical Imaging, Fudan University, Shanghai, China","Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Fudan University, Shanghai, China","Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China","institution_ids":["https://openalex.org/I4210093194"]},{"raw_affiliation_string":"Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Center for Biomedical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I133868755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Dagan Feng","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3381-214X","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614820","display_name":"Jinman Kim","orcid":"https://orcid.org/0000-0001-5960-1060"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinman Kim","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5960-1060","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3248,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98418111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"4497","last_page":"4507"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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":0.9962000250816345,"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/deep-learning","display_name":"Deep learning","score":0.7302032709121704},{"id":"https://openalex.org/keywords/nasopharyngeal-carcinoma","display_name":"Nasopharyngeal carcinoma","score":0.6971381306648254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920225620269775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5534638166427612},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.5365320444107056},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5203025937080383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4230336546897888},{"id":"https://openalex.org/keywords/primary-tumor","display_name":"Primary tumor","score":0.42148858308792114},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3767848014831543},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.33479541540145874},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.325670063495636},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.32266104221343994},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3105187714099884},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.29811030626296997},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.22111046314239502}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7302032709121704},{"id":"https://openalex.org/C2778997737","wikidata":"https://www.wikidata.org/wiki/Q1693598","display_name":"Nasopharyngeal carcinoma","level":3,"score":0.6971381306648254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920225620269775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534638166427612},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.5365320444107056},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5203025937080383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4230336546897888},{"id":"https://openalex.org/C2780283643","wikidata":"https://www.wikidata.org/wiki/Q2110267","display_name":"Primary tumor","level":4,"score":0.42148858308792114},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3767848014831543},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.33479541540145874},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.325670063495636},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.32266104221343994},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3105187714099884},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.29811030626296997},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.22111046314239502}],"mesh":[{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2022.3181791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3181791","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35696469","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35696469","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:arXiv.org:2109.07711","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.07711","pdf_url":"https://arxiv.org/pdf/2109.07711","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.07711","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.07711","pdf_url":"https://arxiv.org/pdf/2109.07711","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3587879924","display_name":"A technology platform for multiple body site image-omics","funder_award_id":"DP200103748","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3758308488","display_name":"ARC Training Centre for Innovative BioEngineering","funder_award_id":"IC170100022","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1966455406","https://openalex.org/W1968657129","https://openalex.org/W1987473753","https://openalex.org/W2019607817","https://openalex.org/W2052825782","https://openalex.org/W2070216889","https://openalex.org/W2076424996","https://openalex.org/W2129925362","https://openalex.org/W2149199519","https://openalex.org/W2157076315","https://openalex.org/W2174661749","https://openalex.org/W2186378789","https://openalex.org/W2271840356","https://openalex.org/W2358113125","https://openalex.org/W2464708700","https://openalex.org/W2501667437","https://openalex.org/W2585311025","https://openalex.org/W2591992783","https://openalex.org/W2600642189","https://openalex.org/W2753919178","https://openalex.org/W2756818491","https://openalex.org/W2759131659","https://openalex.org/W2767128594","https://openalex.org/W2768968764","https://openalex.org/W2783789550","https://openalex.org/W2785961145","https://openalex.org/W2798890825","https://openalex.org/W2802611745","https://openalex.org/W2806597033","https://openalex.org/W2888519878","https://openalex.org/W2889646458","https://openalex.org/W2892827481","https://openalex.org/W2894049934","https://openalex.org/W2913197325","https://openalex.org/W2939853793","https://openalex.org/W2950535890","https://openalex.org/W2954017268","https://openalex.org/W2962914239","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964150021","https://openalex.org/W2979940269","https://openalex.org/W2985140510","https://openalex.org/W3007752599","https://openalex.org/W3010245316","https://openalex.org/W3010869159","https://openalex.org/W3024107846","https://openalex.org/W3043142347","https://openalex.org/W3046915669","https://openalex.org/W3087549734","https://openalex.org/W3092624683","https://openalex.org/W3098524459","https://openalex.org/W3106266685","https://openalex.org/W3128646645","https://openalex.org/W3139349917","https://openalex.org/W3141797743","https://openalex.org/W3147894994","https://openalex.org/W3203713163","https://openalex.org/W4205696267","https://openalex.org/W4210983491","https://openalex.org/W4226081887","https://openalex.org/W4226271855","https://openalex.org/W4287280059","https://openalex.org/W6783292247"],"related_works":["https://openalex.org/W2349233961","https://openalex.org/W2370948200","https://openalex.org/W3023095530","https://openalex.org/W4362480788","https://openalex.org/W4362480766","https://openalex.org/W2170413290","https://openalex.org/W2376888776","https://openalex.org/W2939210210","https://openalex.org/W2376685974","https://openalex.org/W2385590204"],"abstract_inverted_index":{"Nasopharyngeal":[0],"Carcinoma":[1],"(NPC)":[2],"is":[3,14,142],"a":[4,15,119,146,175],"malignant":[5],"epithelial":[6],"cancer":[7],"arising":[8],"from":[9,137,166,203],"the":[10,40,57,72,75,78,89,143,152,159,164,181,192,204],"nasopharynx.":[11],"Survival":[12,124],"prediction":[13,47,130,223],"major":[16],"concern":[17],"for":[18,63,127],"NPC":[19,136],"patients,":[20],"as":[21,71],"it":[22],"provides":[23],"early":[24],"prognostic":[25,98,182],"information":[26,99,183,195],"to":[27,42,150,158,179],"plan":[28],"treatments.":[29],"Recently,":[30],"deep":[31,36,227],"survival":[32,46,50,129,177,222,228],"models":[33,51,76,90,224],"based":[34],"on":[35],"learning":[37],"have":[38],"demonstrated":[39],"potential":[41],"outperform":[43,219],"traditional":[44,220],"radiomics-based":[45,221],"models.":[48,229],"Deep":[49,122],"usually":[52],"use":[53],"image":[54],"patches":[55],"covering":[56],"whole":[58,79],"target":[59,80],"regions":[60,70,81,94],"(e.g.,":[61,105,196],"nasopharynx":[62],"NPC)":[64],"or":[65],"containing":[66],"only":[67],"segmented":[68,92],"tumor":[69,93,132,194,197],"input.":[73],"However,":[74],"using":[77,91],"will":[82,95],"also":[83,173],"include":[84],"non-relevant":[85,167],"background":[86,168],"information,":[87],"while":[88],"disregard":[96],"potentially":[97],"existing":[100,184,226],"out":[101,185],"of":[102,145,154,186],"primary":[103,160,187],"tumors":[104,188],"local":[106,155],"lymph":[107],"node":[108],"metastasis":[109],"and":[110,131,189,200,225],"adjacent":[111],"tissue":[112],"invasion).":[113],"In":[114,170],"this":[115],"study,":[116],"we":[117,172],"propose":[118],"3D":[120],"end-to-end":[121],"Multi-Task":[123],"model":[125],"(DeepMTS)":[126],"joint":[128],"segmentation":[133,148,205],"in":[134],"advanced":[135],"pretreatment":[138],"PET/CT.":[139],"Our":[140,207],"novelty":[141],"introduction":[144],"hard-sharing":[147],"backbone":[149],"guide":[151],"extraction":[153],"features":[156],"related":[157],"tumors,":[161],"which":[162],"reduces":[163],"interference":[165],"information.":[169],"addition,":[171],"introduce":[174],"cascaded":[176],"network":[178],"capture":[180],"further":[190],"leverage":[191],"global":[193],"size,":[198],"shape,":[199],"locations)":[201],"derived":[202],"backbone.":[206],"experiments":[208],"with":[209],"two":[210],"clinical":[211],"datasets":[212],"demonstrate":[213],"that":[214],"our":[215],"DeepMTS":[216],"can":[217],"consistently":[218]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
