{"id":"https://openalex.org/W4402123848","doi":"https://doi.org/10.1109/lsp.2024.3453196","title":"Ma<sup>2</sup>SP: Missing-Aware Prompting With Modality-Adaptive Integration for Incomplete Multi-Modal Survival Prediction","display_name":"Ma<sup>2</sup>SP: Missing-Aware Prompting With Modality-Adaptive Integration for Incomplete Multi-Modal Survival Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402123848","doi":"https://doi.org/10.1109/lsp.2024.3453196"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3453196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3453196","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5112405071","display_name":"Jiaqi Cui","orcid":"https://orcid.org/0000-0001-6006-4442"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Cui","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6006-4442","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064843018","display_name":"Hanci Zheng","orcid":"https://orcid.org/0000-0001-7858-4059"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanci Zheng","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7858-4059","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624278","display_name":"Yuanjun Liu","orcid":"https://orcid.org/0000-0002-0695-0897"},"institutions":[{"id":"https://openalex.org/I4210095236","display_name":"Suizhou Central Hospital","ror":"https://ror.org/00q3p9p08","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095236"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjun Liu","raw_affiliation_strings":["Department of Hepatobiliary Surgery, Suining Central Hospital, Suining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Hepatobiliary Surgery, Suining Central Hospital, Suining, China","institution_ids":["https://openalex.org/I4210095236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030763508","display_name":"Xi Wu","orcid":"https://orcid.org/0000-0002-7659-1631"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wu","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7659-1631","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733310","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-8843-8685"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8843-8685","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73639986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"2455","last_page":"2459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9973999857902527,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.994700014591217,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7167375683784485},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6176563501358032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5518671274185181},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43822985887527466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3935684561729431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3785708248615265}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7167375683784485},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6176563501358032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5518671274185181},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43822985887527466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3935684561729431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785708248615265},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3453196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3453196","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2182196317","display_name":"\u9f3b\u54bd\u764c\u7cbe\u51c6\u81ea\u52a8\u653e\u7597\u8ba1\u5212\u8bbe\u8ba1\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"62071314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6622944791","display_name":null,"funder_award_id":"62371325","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/W1951867042","https://openalex.org/W2020830322","https://openalex.org/W2083927153","https://openalex.org/W2103004421","https://openalex.org/W2525157777","https://openalex.org/W2936150952","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2972635947","https://openalex.org/W2979787545","https://openalex.org/W2990249872","https://openalex.org/W3011821385","https://openalex.org/W3014974815","https://openalex.org/W3105354225","https://openalex.org/W3112701542","https://openalex.org/W3128323348","https://openalex.org/W3176016422","https://openalex.org/W3200517840","https://openalex.org/W3213877724","https://openalex.org/W4226084777","https://openalex.org/W4287280059","https://openalex.org/W4296053328","https://openalex.org/W4296121254","https://openalex.org/W4323338544","https://openalex.org/W4382239691","https://openalex.org/W4386057714","https://openalex.org/W4387211319","https://openalex.org/W4387211719","https://openalex.org/W4387225985","https://openalex.org/W4392901569","https://openalex.org/W4392929867","https://openalex.org/W4396754468","https://openalex.org/W4399602215","https://openalex.org/W6862637215","https://openalex.org/W6903036213"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W627697492","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Survival":[0],"prediction":[1,60,132],"is":[2,28],"crucial":[3],"for":[4,56],"head":[5],"and":[6,76,88],"neck":[7],"(H&N)":[8],"cancer":[9],"patients.":[10],"Recently,":[11],"deep":[12],"learning-based":[13],"multi-modal":[14,38,58,74,86],"models":[15],"have":[16],"achieved":[17],"promising":[18],"performance":[19],"in":[20,44,61],"accurate":[21],"survival":[22,59],"prediction.":[23],"However,":[24],"their":[25],"clinical":[26],"application":[27],"hindered":[29],"by":[30],"the":[31],"difficulty":[32],"of":[33,37],"acquiring":[34],"complete":[35],"sets":[36],"data.":[39,93,114],"To":[40],"tackle":[41],"this":[42,45],"limitation,":[43],"paper,":[46],"we":[47,65,95,117],"propose":[48],"a":[49],"novel":[50],"framework,":[51],"namely":[52],"Ma<sup":[53],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[54],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>SP,":[55],"incomplete":[57,92,113],"H&N":[62],"cancer.":[63],"Specifically,":[64],"develop":[66],"missing-aware":[67,97],"integration":[68,87],"(MAI)":[69],"modules":[70],"to":[71,91,100,125],"align":[72],"heterogeneous":[73],"data":[75],"encourage":[77],"dynamic":[78],"interactions":[79],"among":[80],"available":[81],"modalities,":[82],"thereby":[83],"achieving":[84],"flexible":[85],"enhancing":[89],"robustness":[90],"Moreover,":[94],"employ":[96],"prompting":[98],"(MAP)":[99],"provide":[101],"explicit":[102],"guidance":[103],"on":[104],"missing":[105],"states":[106],"during":[107],"training,":[108],"enabling":[109],"effective":[110],"training":[111],"with":[112],"In":[115],"addition,":[116],"introduce":[118],"tumor":[119],"segmentation":[120],"as":[121],"an":[122],"auxiliary":[123],"task":[124],"capture":[126],"tumor-related":[127],"information,":[128],"which":[129],"further":[130],"improves":[131],"accuracy.":[133],"Experiments":[134],"demonstrate":[135],"our":[136],"superior":[137],"performance.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}