{"id":"https://openalex.org/W7126076777","doi":"https://doi.org/10.1109/bibm66473.2025.11356505","title":"ICH-PFNet: Prompt-Free Intracerebral Hemorrhage Segmentation via Convolutional Sparse Embeddings and Contrastive Semantic Consistency","display_name":"ICH-PFNet: Prompt-Free Intracerebral Hemorrhage Segmentation via Convolutional Sparse Embeddings and Contrastive Semantic Consistency","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126076777","doi":"https://doi.org/10.1109/bibm66473.2025.11356505"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356505","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 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/A5029183425","display_name":"Zichen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichen Huang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124212598","display_name":"Liya Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liya Liu","raw_affiliation_strings":["Anhui University of Finance and Economics,Bengbu,China"],"affiliations":[{"raw_affiliation_string":"Anhui University of Finance and Economics,Bengbu,China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124240910","display_name":"Chenxin Di","orcid":null},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxin Di","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008114041","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9254-4413"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Chen","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124188800","display_name":"Qiwei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Yang","raw_affiliation_strings":["Wuhan University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124165564","display_name":"Yaoqun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoqun Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033633689","display_name":"Haoxuan Sun","orcid":"https://orcid.org/0009-0009-7944-1864"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Sun","raw_affiliation_strings":["Southern Medical University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Southern Medical University,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124165471","display_name":"Ahmed Elazab","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmed Elazab","raw_affiliation_strings":["Tsinghua University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124213964","display_name":"Yongquan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Zhang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063406130","display_name":"Changmiao Wang","orcid":"https://orcid.org/0000-0003-2466-5990"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changmiao Wang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5029183425"],"corresponding_institution_ids":["https://openalex.org/I90727586"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71287953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1700","last_page":"1704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.000699999975040555,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/pyramid","display_name":"Pyramid (geometry)","score":0.6567000150680542},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6517999768257141},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.619700014591217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6148999929428101},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5910000205039978},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5759999752044678},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5134999752044678},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4805999994277954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379999756813049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7373999953269958},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6567000150680542},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6517999768257141},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.619700014591217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5910000205039978},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5759999752044678},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3125},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356505","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 Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2739854572","display_name":null,"funder_award_id":"AB24010167,20232ABC03A25","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"},{"id":"https://openalex.org/G6480654856","display_name":null,"funder_award_id":"2025A1515011617,2022A1515110570","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3014974815","https://openalex.org/W3035546112","https://openalex.org/W4306738766","https://openalex.org/W4380434601","https://openalex.org/W4386362624","https://openalex.org/W4390874575","https://openalex.org/W4390991972","https://openalex.org/W4391109864","https://openalex.org/W4401750783","https://openalex.org/W4401752224","https://openalex.org/W4403090134","https://openalex.org/W4405093242","https://openalex.org/W4406271341","https://openalex.org/W4408441558","https://openalex.org/W4412710843"],"related_works":[],"abstract_inverted_index":{"Intracerebral":[0],"hemorrhage":[1],"(ICH)":[2],"necessitates":[3],"precise":[4],"and":[5,34,87,110,121],"efficient":[6],"segmentation":[7,46],"of":[8,29,37],"hemorrhagic":[9],"regions":[10],"in":[11,118],"head":[12],"computed":[13],"tomography":[14],"(CT)":[15],"scans":[16],"to":[17,91],"facilitate":[18],"timely":[19],"clinical":[20],"decisions.":[21],"To":[22],"address":[23],"challenges":[24],"such":[25],"as":[26],"irregular":[27],"shapes":[28],"hematomas,":[30],"unclear":[31],"lesion":[32],"boundaries,":[33],"the":[35,42,68],"scarcity":[36],"annotated":[38],"data,":[39],"we":[40],"introduce":[41],"ICH-PFNet,":[43],"a":[44,96,102,127],"text-guided":[45],"framework":[47],"specifically":[48],"designed":[49],"for":[50,136],"ICH":[51,140],"imaging":[52],"that":[53],"operates":[54],"without":[55],"prompts.":[56],"The":[57,79,143],"Mamba":[58],"Pyramid":[59,98],"Downsampling":[60],"module":[61,82],"ensures":[62],"robust":[63],"multi-scale":[64,107],"feature":[65,108],"extraction,":[66],"while":[67],"GCS-CLIP":[69],"fusion":[70,109],"mechanism":[71],"enhances":[72,106],"semantic":[73],"consistency":[74],"through":[75],"batch-level":[76],"contrastive":[77],"similarity.":[78],"Enhanced":[80],"SAM":[81],"provides":[83],"automatic":[84],"spatial":[85],"guidance":[86],"convolution-based":[88],"sparse":[89],"embeddings":[90],"eliminate":[92],"manual":[93],"input.":[94],"Furthermore,":[95],"Feature":[97],"Network":[99],"combined":[100],"with":[101],"Group":[103],"Aggregation":[104],"Bridge":[105],"refines":[111],"boundaries.":[112],"Our":[113],"model":[114],"showed":[115],"superior":[116],"performance":[117],"segmenting":[119],"small":[120],"structurally":[122],"complex":[123],"hemorrhages":[124],"by":[125],"using":[126],"private":[128],"CT":[129],"dataset.":[130],"These":[131],"results":[132],"highlight":[133],"its":[134],"potential":[135],"integration":[137],"into":[138],"automated":[139],"assessment":[141],"workflows.":[142],"code":[144],"is":[145],"available":[146],"at":[147],"https://github.com/Hzchzc123/ICH-CMNet.":[148]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}