{"id":"https://openalex.org/W4408345686","doi":"https://doi.org/10.1109/icassp49660.2025.10890290","title":"PHMamba: Preheating State Space Models with Context-Augmented Features for Medical Image Segmentation","display_name":"PHMamba: Preheating State Space Models with Context-Augmented Features for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345686","doi":"https://doi.org/10.1109/icassp49660.2025.10890290"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5012264697","display_name":"Nuo Chen","orcid":"https://orcid.org/0000-0003-3515-8791"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nuo Chen","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770382","display_name":"Shaoyu Wang","orcid":"https://orcid.org/0000-0002-4799-5960"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyu Wang","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036614566","display_name":"Ran Lu","orcid":"https://orcid.org/0000-0002-2077-8165"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Lu","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102849826","display_name":"Wenxuan Li","orcid":"https://orcid.org/0009-0008-7545-6543"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Li","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055305678","display_name":"Xiujin Shi","orcid":"https://orcid.org/0000-0003-2737-622X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujin Shi","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012264697"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":6.5456,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95775137,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"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/T10320","display_name":"Neural Networks and Applications","score":0.8357999920845032,"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/T10320","display_name":"Neural Networks and Applications","score":0.8357999920845032,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7717000246047974,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7419000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810161471366882},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6309069991111755},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5839296579360962},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5637166500091553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5581983327865601},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5299155712127686},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5013341903686523},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4910883903503418},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4594607651233673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42158788442611694},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36387908458709717},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09272575378417969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810161471366882},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6309069991111755},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5839296579360962},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5637166500091553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5581983327865601},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5299155712127686},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5013341903686523},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4910883903503418},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4594607651233673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42158788442611694},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36387908458709717},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09272575378417969},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2804047627","https://openalex.org/W2928133111","https://openalex.org/W2955058313","https://openalex.org/W2979297453","https://openalex.org/W2996290406","https://openalex.org/W3088226460","https://openalex.org/W3097510987","https://openalex.org/W3138516171","https://openalex.org/W3161081823","https://openalex.org/W3195720575","https://openalex.org/W4283450732","https://openalex.org/W4289752563","https://openalex.org/W4321232185","https://openalex.org/W4387917743","https://openalex.org/W4389213264","https://openalex.org/W4394803935","https://openalex.org/W4394844495","https://openalex.org/W4400247933","https://openalex.org/W4401748825","https://openalex.org/W4405141854","https://openalex.org/W4410915127","https://openalex.org/W6696085341","https://openalex.org/W6739901393","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6803444062","https://openalex.org/W6859298233","https://openalex.org/W6861213978","https://openalex.org/W6861342692","https://openalex.org/W6862087182","https://openalex.org/W6863218821","https://openalex.org/W6868470861"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"The":[0,70,128,149],"recent":[1],"Mamba":[2,29],"model":[3],"has":[4],"demonstrated":[5],"the":[6,26,44,62,103,110,117,124],"competitive":[7],"potential":[8,105],"of":[9,25,40,46],"State":[10],"Space":[11],"Models":[12],"(SSMs)":[13],"on":[14,32,138],"various":[15,135],"image":[16,92,141],"benchmarks,":[17],"particularly":[18,99],"in":[19,28,90],"modeling":[20],"long-range":[21],"sequences.":[22],"However,":[23],"most":[24],"improvements":[27],"methods":[30],"focus":[31],"scanning":[33],"strategies,":[34],"and":[35,66,146],"lack":[36],"an":[37],"effective":[38,65],"means":[39],"aggregating":[41],"context":[42],"with":[43],"structure":[45],"SSMs.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"design":[52],"a":[53,87],"framework":[54],"that":[55,131],"applies":[56],"coarse":[57,108],"segmentation":[58,93,145],"map":[59],"to":[60,77,81,120,123],"preheat":[61],"SSMs,":[63],"enabling":[64],"efficient":[67],"information":[68],"aggregation.":[69],"preheating":[71],"method":[72,133],"for":[73],"SSMs":[74],"is":[75,113,151],"proposed":[76],"enhance":[78],"its":[79],"ability":[80],"learn":[82],"contextual":[83],"information,":[84],"which":[85,115],"plays":[86],"crucial":[88],"role":[89],"medical":[91,140],"tasks":[94,142],"where":[95],"regional":[96],"features":[97],"are":[98],"prominent.":[100],"To":[101],"reduce":[102],"model\u2019s":[104],"bias":[106],"towards":[107],"context,":[109],"compensation":[111],"module":[112],"introduced,":[114],"allows":[116],"output":[118],"sequence":[119],"partially":[121],"revert":[122],"original":[125],"feature":[126],"map.":[127],"results":[129],"show":[130],"our":[132],"outperforms":[134],"competing":[136],"approaches":[137],"different":[139],"including":[143],"cardiac":[144],"multi-organ":[147],"segmentation.":[148],"code":[150],"available":[152],"at":[153],"https://github.com/nchennnn/PH-Mamba.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
