{"id":"https://openalex.org/W4406259938","doi":"https://doi.org/10.1109/bibm62325.2024.10822185","title":"Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis","display_name":"Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259938","doi":"https://doi.org/10.1109/bibm62325.2024.10822185"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5075078723","display_name":"M. J. Guo","orcid":"https://orcid.org/0009-0001-3876-292X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maotao Guo","raw_affiliation_strings":["Northeastern University at Qinhuangdao,School of Mathematics and Statistics,China"],"affiliations":[{"raw_affiliation_string":"Northeastern University at Qinhuangdao,School of Mathematics and Statistics,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003515264","display_name":"Zhong\u2010Zhen Luo","orcid":"https://orcid.org/0000-0003-4331-6286"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zihang Luo","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034351703","display_name":"Junze Liu","orcid":"https://orcid.org/0000-0002-4112-9367"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junze Liu","raw_affiliation_strings":["Changchun University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology,China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719887","display_name":"Rulin Zhou","orcid":"https://orcid.org/0009-0008-4348-6609"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rulin Zhou","raw_affiliation_strings":["ShenZhen University,ShenZhen,China"],"affiliations":[{"raw_affiliation_string":"ShenZhen University,ShenZhen,China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075078723"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22592467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4529","last_page":"4536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9164000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.6437121629714966},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.582069993019104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752359628677368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33787935972213745},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.32745006680488586},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28604868054389954},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20919379591941833},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20416736602783203},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.1972070038318634},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.15753892064094543},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08783987164497375},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.08342400193214417}],"concepts":[{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.6437121629714966},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.582069993019104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752359628677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33787935972213745},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32745006680488586},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28604868054389954},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20919379591941833},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20416736602783203},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.1972070038318634},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.15753892064094543},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08783987164497375},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.08342400193214417}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W66427752","https://openalex.org/W1966471572","https://openalex.org/W2119671639","https://openalex.org/W2763355946","https://openalex.org/W2890317046","https://openalex.org/W2897425218","https://openalex.org/W2963433607","https://openalex.org/W2963446712","https://openalex.org/W2963626582","https://openalex.org/W3006134372","https://openalex.org/W3086437055","https://openalex.org/W3108316907","https://openalex.org/W3195237310","https://openalex.org/W3199109277","https://openalex.org/W3211119642","https://openalex.org/W4312533035","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6771550025","https://openalex.org/W6774314701","https://openalex.org/W6844194202","https://openalex.org/W6856166046"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1546533203","https://openalex.org/W2054080977","https://openalex.org/W1511554945","https://openalex.org/W2015439768","https://openalex.org/W4361008414","https://openalex.org/W4396854307","https://openalex.org/W3040823075"],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"is":[2],"the":[3,12,30,127,165],"most":[4],"frequently":[5,51],"diagnosed":[6],"malignancy":[7],"in":[8,32,43,77,189,207],"women":[9],"globally,":[10],"underscoring":[11],"necessity":[13],"for":[14,35,74,174,202,213],"precise":[15],"prediction":[16],"of":[17,53,101,158,167,217],"pathologic":[18],"complete":[19],"response":[20],"(pCR)":[21],"to":[22,140],"enhance":[23],"therapeutic":[24],"approaches":[25],"and":[26,49,164],"patient":[27],"prognosis.":[28],"Despite":[29],"advancements":[31],"deep":[33,70,205],"learning":[34,71,136,206],"medical":[36,208],"imaging,":[37,209],"current":[38],"methodologies":[39],"often":[40],"face":[41],"challenges":[42],"integrating":[44],"multiple":[45],"imaging":[46,88,145],"modalities":[47],"effectively":[48],"are":[50],"devoid":[52],"robust":[54],"theoretical":[55,154,200],"frameworks.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"propose":[61],"a":[62,68,97,105,111,122,133,168,198,214],"Radiomics-guided":[63],"Multimodal":[64],"Self-Attention":[65],"Network":[66],"(RaMA-net),":[67],"cutting-edge":[69],"architecture":[72],"tailored":[73],"predicting":[75],"pCR":[76,190],"breast":[78,221],"cancer.":[79,222],"RaMA-net":[80,114,184],"seamlessly":[81],"fuses":[82],"dynamic":[83],"contrast-enhanced":[84],"(DCE)":[85],"magnetic":[86],"resonance":[87],"(MRI)":[89],"with":[90,110,177,210],"apparent":[91],"diffusion":[92],"coefficient":[93],"(ADC)":[94],"maps,":[95],"providing":[96],"more":[98],"comprehensive":[99],"understanding":[100],"tumor":[102],"characteristics.":[103],"Utilizing":[104],"3D":[106],"CNN":[107],"encoder":[108],"coupled":[109],"self-attention":[112],"mechanism,":[113],"adeptly":[115],"captures":[116],"intricate":[117],"inter-modality":[118],"dependencies,":[119],"supported":[120],"by":[121],"mathematically":[123],"sound":[124],"foundation.":[125],"Moreover,":[126],"model":[128],"incorporates":[129],"radiomics":[130,178],"features":[131],"via":[132],"well-established":[134],"contrastive":[135],"paradigm,":[137],"enabling":[138],"it":[139],"focus":[141],"on":[142],"clinically":[143],"significant":[144],"attributes.":[146],"We":[147],"rigorously":[148],"validate":[149],"RaMA-net\u2019s":[150],"capabilities":[151],"through":[152],"extensive":[153],"analyses,":[155],"including":[156],"proofs":[157],"its":[159],"expressive":[160],"capacity,":[161],"convergence":[162],"behavior,":[163],"derivation":[166],"novel":[169],"generalization":[170],"bound":[171],"that":[172,183],"accounts":[173],"feature":[175],"alignment":[176],"data.":[179],"Experimental":[180],"results":[181],"highlight":[182],"surpasses":[185],"conventional":[186],"baseline":[187],"methods":[188],"prediction,":[191],"offering":[192],"superior":[193],"interpretability.":[194],"This":[195],"contribution":[196],"lays":[197],"solid":[199],"basis":[201],"radiomics-driven,":[203],"multimodal":[204],"potential":[211],"implications":[212],"broader":[215],"spectrum":[216],"diagnostic":[218],"applications":[219],"beyond":[220]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}