{"id":"https://openalex.org/W7130609578","doi":"https://doi.org/10.48550/arxiv.2602.16245","title":"HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis","display_name":"HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130609578","doi":"https://doi.org/10.48550/arxiv.2602.16245"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16245","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126370695","display_name":"J. Dhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhar, J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126414463","display_name":"M. K. Pandey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pandey, M. K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126370988","display_name":"D. Chakladar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakladar, D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126423546","display_name":"M. Haghighat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haghighat, M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126361911","display_name":"A. Alavi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alavi, A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126387032","display_name":"S. Mistry","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mistry, S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126400294","display_name":"N. Zaidi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaidi, N.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.34200000762939453,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.34200000762939453,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.16979999840259552,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.11550000309944153,"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/generalization","display_name":"Generalization","score":0.6015999913215637},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5361999869346619},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5013999938964844},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.47999998927116394},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43549999594688416},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.400299996137619},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.38960000872612},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3871000111103058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301999926567078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6547999978065491},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.545799970626831},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5361999869346619},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5013999938964844},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43549999594688416},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3684999942779541},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16245","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16245","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16245","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.16245","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"fusion":[1,32],"frameworks,":[2],"which":[3,58],"integrate":[4],"diverse":[5,135],"medical":[6],"imaging":[7],"modalities":[8],"(e.g.,":[9],"MRI,":[10],"CT),":[11],"have":[12],"shown":[13],"great":[14],"potential":[15],"in":[16,48,84,158,166],"applications":[17],"such":[18],"as":[19],"skin":[20],"cancer":[21],"detection,":[22],"dementia":[23],"diagnosis,":[24],"and":[25,68,121,160],"brain":[26],"tumor":[27],"prediction.":[28],"However,":[29],"existing":[30,149],"multimodal":[31],"methods":[33],"face":[34],"significant":[35],"challenges.":[36],"First,":[37],"they":[38,52],"often":[39,53],"rely":[40],"on":[41,139],"computationally":[42,109],"expensive":[43],"models,":[44],"limiting":[45],"their":[46,70,82],"applicability":[47],"low-resource":[49],"environments.":[50],"Second,":[51],"employ":[54],"cascaded":[55,125],"attention":[56,114,126],"modules,":[57],"potentially":[59],"increase":[60],"risk":[61],"of":[62,102,154,162],"information":[63],"loss":[64],"during":[65],"inter-module":[66],"transitions":[67],"hinder":[69],"capacity":[71],"to":[72,156,164],"effectively":[73],"capture":[74],"robust":[75,131],"shared":[76,132],"representations":[77,133],"across":[78,134],"modalities.":[79,136],"This":[80],"restricts":[81],"generalization":[83],"multi-disease":[85],"analysis":[86],"tasks.":[87],"To":[88],"address":[89],"these":[90],"limitations,":[91],"we":[92],"propose":[93],"a":[94,108,123],"Hybrid":[95],"Parallel-Fusion":[96],"Cascaded":[97],"Attention":[98],"Network":[99],"(HyPCA-Net),":[100],"composed":[101],"two":[103],"core":[104],"novel":[105],"blocks:":[106],"(a)":[107],"efficient":[110],"residual":[111],"adaptive":[112],"learning":[113,130],"block":[115,127],"for":[116],"capturing":[117],"refined":[118],"modality-specific":[119],"representations,":[120],"(b)":[122],"dual-view":[124],"aimed":[128],"at":[129],"Extensive":[137],"experiments":[138],"ten":[140],"publicly":[141],"available":[142],"datasets":[143],"exhibit":[144],"that":[145],"HyPCA-Net":[146],"significantly":[147],"outperforms":[148],"leading":[150],"methods,":[151],"with":[152],"improvements":[153],"up":[155,163],"5.2%":[157],"performance":[159],"reductions":[161],"73.1%":[165],"computational":[167],"cost.":[168],"Code:":[169],"https://github.com/misti1203/HyPCA-Net.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-20T00:00:00"}