{"id":"https://openalex.org/W4410770293","doi":"https://doi.org/10.1109/icasspw65056.2025.11011218","title":"CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data","display_name":"CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data","publication_year":2025,"publication_date":"2025-04-06","ids":{"openalex":"https://openalex.org/W4410770293","doi":"https://doi.org/10.1109/icasspw65056.2025.11011218"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw65056.2025.11011218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw65056.2025.11011218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5066668963","display_name":"Kuan\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-1815-1881"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kuan-Cheng Chen","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073869620","display_name":"Yi-Tien Li","orcid":"https://orcid.org/0000-0003-3834-2615"},"institutions":[{"id":"https://openalex.org/I2802331550","display_name":"Taipei Medical University Hospital","ror":"https://ror.org/03k0md330","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I2802331550"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Tien Li","raw_affiliation_strings":["Taipei Medical University Hospital,Translational Imaging Research Center,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"Taipei Medical University Hospital,Translational Imaging Research Center,Taipei,Taiwan","institution_ids":["https://openalex.org/I2802331550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114608748","display_name":"Tai-Yu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107525","display_name":"National Center for High-Performance Computing","ror":"https://ror.org/01jpzd518","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210107525","https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tai-Yu Li","raw_affiliation_strings":["NARlabs,National Center for High-Performance Computing,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"NARlabs,National Center for High-Performance Computing,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210107525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835360","display_name":"Chen-Yu Liu","orcid":"https://orcid.org/0000-0002-5437-5188"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Yu Liu","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Applied Physics,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Applied Physics,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051473739","display_name":"Po\u2010Heng Lee","orcid":"https://orcid.org/0000-0003-2962-5162"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Po-Heng Henry Lee","raw_affiliation_strings":["Science and Technology (QuEST), Imperial College London,Centre for Quantum Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"Science and Technology (QuEST), Imperial College London,Centre for Quantum Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101443462","display_name":"Cheng\u2010Yu Chen","orcid":"https://orcid.org/0000-0002-4482-9262"},"institutions":[{"id":"https://openalex.org/I2802331550","display_name":"Taipei Medical University Hospital","ror":"https://ror.org/03k0md330","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I2802331550"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yu Chen","raw_affiliation_strings":["Taipei Medical University Hospital,Translational Imaging Research Center,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"Taipei Medical University Hospital,Translational Imaging Research Center,Taipei,Taiwan","institution_ids":["https://openalex.org/I2802331550"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066668963"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":14.5517,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98617656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9050999879837036,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9050999879837036,"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/neuroimaging","display_name":"Neuroimaging","score":0.7793808579444885},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7437244653701782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925152540206909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4765796661376953},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13973572850227356},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10848557949066162},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05930396914482117}],"concepts":[{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.7793808579444885},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7437244653701782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925152540206909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765796661376953},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13973572850227356},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10848557949066162},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05930396914482117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw65056.2025.11011218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw65056.2025.11011218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1978408307","https://openalex.org/W1984623255","https://openalex.org/W2019373590","https://openalex.org/W2072522618","https://openalex.org/W2111547563","https://openalex.org/W2122328291","https://openalex.org/W2132842417","https://openalex.org/W2135028448","https://openalex.org/W2162682998","https://openalex.org/W2790583019","https://openalex.org/W2792946961","https://openalex.org/W2995098893","https://openalex.org/W2999196735","https://openalex.org/W3022315685","https://openalex.org/W3096052452","https://openalex.org/W3157237148","https://openalex.org/W3177779345","https://openalex.org/W3199996056","https://openalex.org/W3211386740","https://openalex.org/W3211718387","https://openalex.org/W4213212652","https://openalex.org/W4295747699","https://openalex.org/W4311595285","https://openalex.org/W4389159469","https://openalex.org/W4390752773","https://openalex.org/W4401122678","https://openalex.org/W4401757888","https://openalex.org/W4406261788","https://openalex.org/W4406261916","https://openalex.org/W4406262067","https://openalex.org/W4406262085","https://openalex.org/W4406262150","https://openalex.org/W6838861289","https://openalex.org/W6866585339"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2327340211","https://openalex.org/W2027542625","https://openalex.org/W4292199793","https://openalex.org/W2390279801","https://openalex.org/W2282195379","https://openalex.org/W2089784006","https://openalex.org/W4391913857"],"abstract_inverted_index":{"This":[0,84],"paper":[1],"introduces":[2],"CompressedMediQ,":[3],"a":[4],"novel":[5],"hybrid":[6],"quantum-classical":[7],"machine":[8,131],"learning":[9,132],"pipeline":[10,100],"specifically":[11],"developed":[12],"to":[13,48],"address":[14],"the":[15,34,73,81,99,118,126,137,145,152],"computational":[16],"challenges":[17],"associated":[18],"with":[19],"high-dimensional":[20],"multi-class":[21],"neuroimaging":[22,26,112],"data":[23,32,78,107],"analysis.":[24],"Standard":[25],"datasets,":[27],"such":[28],"as":[29],"large-scale":[30],"MRI":[31,61],"from":[33],"Alzheimer\u2019s":[35],"Disease":[36],"Neuroimaging":[37,40],"Initiative":[38],"and":[39,52,63,70,104,109,156,162],"in":[41,80,122,133,160],"Frontotemporal":[42],"Dementia,":[43],"present":[44],"significant":[45],"hurdles":[46],"due":[47],"their":[49],"vast":[50],"size":[51],"complexity.":[53],"CompressedMediQ":[54],"integrates":[55],"classical":[56],"HPC":[57],"nodes":[58],"for":[59,76,154],"advanced":[60],"pre-processing":[62],"Convolutional":[64],"Neural":[65],"Network":[66],"(CNN)-PCA-based":[67],"feature":[68,102],"extraction":[69],"reduction,":[71],"addressing":[72],"limited-qubit":[74],"availability":[75],"quantum":[77,96,130],"encoding":[79],"NISQ":[82,140],"era.":[83],"is":[85],"followed":[86],"by":[87],"Quantum":[88],"Support":[89],"Vector":[90],"Machine":[91],"(QSVM)":[92],"classification.":[93],"By":[94],"utilizing":[95],"kernel":[97],"methods,":[98],"optimizes":[101],"mapping":[103],"classification,":[105],"enhancing":[106],"separability":[108],"outperforming":[110],"traditional":[111],"analysis":[113],"techniques.":[114],"Experimental":[115],"results":[116],"highlight":[117],"pipeline\u2019s":[119],"superior":[120],"accuracy":[121],"dementia":[123],"staging,":[124],"validating":[125],"practical":[127],"use":[128],"of":[129,139,148],"clinical":[134],"diagnostics.":[135],"Despite":[136],"limitations":[138],"devices,":[141],"this":[142],"proof-of-concept":[143],"demonstrates":[144],"transformative":[146],"potential":[147],"quantum-enhanced":[149],"learning,":[150],"paving":[151],"way":[153],"scalable":[155],"precise":[157],"diagnostic":[158],"tools":[159],"healthcare":[161],"signal":[163],"processing.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
