{"id":"https://openalex.org/W7161833279","doi":"https://doi.org/10.1109/tbcas.2026.3695051","title":"MedMambaLite-v2: Shared Selective Scan for Efficient Edge Medical Mamba","display_name":"MedMambaLite-v2: Shared Selective Scan for Efficient Edge Medical Mamba","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7161833279","doi":"https://doi.org/10.1109/tbcas.2026.3695051","pmid":"https://pubmed.ncbi.nlm.nih.gov/42160257"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2026.3695051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2026.3695051","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5116357989","display_name":"Romina Aalishah","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Romina Aalishah","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":"https://orcid.org/0009-0007-9074-5493","affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002891616","display_name":"Mozhgan Navardi","orcid":"https://orcid.org/0000-0002-3521-2869"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mozhgan Navardi","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":"https://orcid.org/0000-0002-3521-2869","affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136580494","display_name":"Nithin Kidangazhiath Mana","orcid":"https://orcid.org/0009-0002-5729-2449"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nithin Kidangazhiath Mana","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":"https://orcid.org/0009-0002-5729-2449","affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084010501","display_name":"Tinoosh Mohsenin","orcid":"https://orcid.org/0000-0001-5551-2124"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tinoosh Mohsenin","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":"https://orcid.org/0000-0001-5551-2124","affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41765619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"4","first_page":"563","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.03869999945163727,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.021299999207258224,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5648999810218811},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.36239999532699585},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3091999888420105},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.29030001163482666},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.2858999967575073}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5648999810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510200023651123},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4068000018596649},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.34869998693466187},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.3246000111103058},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3091999888420105},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.30219998955726624},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.27880001068115234},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2549999952316284}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbcas.2026.3695051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2026.3695051","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:42160257","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42160257","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 transactions on biomedical circuits and systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2044097773","https://openalex.org/W2194775991","https://openalex.org/W2323929895","https://openalex.org/W2623808523","https://openalex.org/W2768570983","https://openalex.org/W2962858109","https://openalex.org/W2982083293","https://openalex.org/W3081500256","https://openalex.org/W4317436377","https://openalex.org/W4324144441","https://openalex.org/W4385245566","https://openalex.org/W4387866574","https://openalex.org/W4396507244","https://openalex.org/W4399952632","https://openalex.org/W4400722466","https://openalex.org/W4404212754","https://openalex.org/W4406522556","https://openalex.org/W4406610927","https://openalex.org/W4409282403","https://openalex.org/W4410161985","https://openalex.org/W4410553236","https://openalex.org/W4412837224","https://openalex.org/W4413146579","https://openalex.org/W4413755548","https://openalex.org/W4414311186","https://openalex.org/W4415390327","https://openalex.org/W4415796023","https://openalex.org/W4416429633","https://openalex.org/W7106105931","https://openalex.org/W7111109049","https://openalex.org/W7124152197"],"related_works":[],"abstract_inverted_index":{"AI-powered":[0],"medical":[1,35],"imaging":[2,153],"devices":[3],"are":[4],"increasingly":[5],"used":[6],"in":[7,19,30,93,105,121,141,192,242],"clinical":[8],"workflows":[9],"to":[10,49,118,133,166,180,237,248],"support":[11],"real-time,":[12],"accurate":[13],"diagnosis":[14],"and":[15,42,55,89,114,175,207,217,231,239],"decision-making.":[16],"Recent":[17],"advances":[18],"State-Space":[20],"Models":[21],"(SSMs)":[22],"such":[23],"as":[24],"Mamba":[25],"have":[26],"shown":[27],"remarkable":[28],"performance":[29],"capturing":[31],"long-range":[32],"dependencies":[33],"for":[34,194],"image":[36],"classification.":[37],"However,":[38],"their":[39],"computational":[40,182],"complexity":[41],"sequential":[43],"data":[44],"flow":[45],"make":[46],"them":[47],"difficult":[48],"deploy":[50],"on":[51,76,212,215,226],"hardware,":[52],"limiting":[53],"real-time":[54],"energy-efficient":[56],"applications":[57],"at":[58],"the":[59,110,134,142,223,249],"edge.":[60],"To":[61],"address":[62],"this":[63,81],"challenge,":[64],"we":[65,83],"propose":[66],"MedMambaLite-v2,":[67],"a":[68,96,102,122,195,200],"shared":[69],"selective":[70],"scan":[71,164],"framework":[72],"enabling":[73],"effective":[74],"acceleration":[75],"embedded":[77],"edge":[78],"platforms.":[79,219],"For":[80],"aim,":[82],"build":[84],"upon":[85],"our":[86],"earlier":[87],"MedMambaLite,":[88],"further":[90,176],"extend":[91],"it":[92],"MedMambaLite-v2":[94,204],"through":[95,209],"channel-only":[97],"transition":[98],"mechanism":[99],"that":[100],"achieves":[101],"1.7$\\boldsymbol{\\times}$":[103],"reduction":[104,140,191],"operations.":[106],"We":[107],"then":[108],"optimize":[109],"Convolution":[111],"(Conv)":[112],"branch,":[113],"apply":[115],"knowledge":[116],"distillation":[117],"retain":[119],"accuracy":[120,144],"compressed":[123],"student":[124],"model.":[125],"The":[126,155,184],"resulting":[127],"model":[128],"is":[129,205],"23$\\boldsymbol{\\times}$":[130],"smaller":[131],"compared":[132,198,247],"MedMamba":[135],"baseline,":[136],"with":[137,199],"only":[138],"1.1%":[139],"overall":[143],"evaluated":[145],"across":[146,163],"10":[147],"distinct":[148],"MedMNIST":[149,213],"datasets":[150],"spanning":[151],"several":[152],"modalities.":[154],"proposed":[156,224],"LiteSS2D":[157],"hardware":[158,187],"design":[159],"also":[160],"leverages":[161],"parallelism":[162],"directions":[165],"enable":[167],"simultaneous":[168],"state":[169],"updates,":[170],"thereby":[171],"improving":[172],"memory":[173],"efficiency,":[174],"incorporates":[177],"8-bit":[178],"quantization":[179],"reduce":[181],"overhead.":[183],"reconfigurable":[185],"FPGA":[186],"prototype":[188],"demonstrates":[189],"9$\\boldsymbol{\\times}$":[190],"latency":[193],"parallel":[196],"implementation":[197],"serial":[201],"baseline.":[202,250],"Moreover,":[203],"implemented":[206],"demonstrated":[208],"end-to-end":[210],"inference":[211],"images":[214],"CPU":[216],"GPU":[218],"Performance":[220],"analysis":[221],"of":[222],"approach":[225],"NVIDIA":[227],"Jetson":[228],"Orin":[229],"Nano":[230],"Raspberry":[232],"Pi":[233],"5":[234],"shows":[235],"up":[236],"63%":[238],"78%":[240],"reductions":[241],"energy":[243],"per":[244],"inference,":[245],"respectively,":[246]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-05-21T00:00:00"}
