{"id":"https://openalex.org/W4406328867","doi":"https://doi.org/10.1145/3706890.3706963","title":"Multi-Modal Incomplete Brain Tumor Segmentation with Mamba","display_name":"Multi-Modal Incomplete Brain Tumor Segmentation with Mamba","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328867","doi":"https://doi.org/10.1145/3706890.3706963"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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/A5085734138","display_name":"Yudan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yudan Li","raw_affiliation_strings":["School of Electrical Engineering, University of South China, Hengyang, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0004-2656-6341","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of South China, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048956963","display_name":"Xiaozhi Zhang","orcid":"https://orcid.org/0000-0001-6332-8634"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhi Zhang","raw_affiliation_strings":["School of Electrical Engineering, University of South China, Hengyang, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6332-8634","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of South China, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072609108","display_name":"Dongping Xiong","orcid":"https://orcid.org/0000-0002-8081-1297"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongping Xiong","raw_affiliation_strings":["School of Computing/Software, University of South China, Hengyang, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-8081-1297","affiliations":[{"raw_affiliation_string":"School of Computing/Software, University of South China, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038964847","display_name":"Lijun Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Ouyang","raw_affiliation_strings":["School of Computing/Software, University of South China, Hengyang, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-7525-7861","affiliations":[{"raw_affiliation_string":"School of Computing/Software, University of South China, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I91935597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085734138"],"corresponding_institution_ids":["https://openalex.org/I91935597"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2928976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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/modal","display_name":"Modal","score":0.6605088114738464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5266230702400208},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09459099173545837},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07380858063697815}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6605088114738464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5266230702400208},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09459099173545837},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07380858063697815}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2502805798","https://openalex.org/W2909481502","https://openalex.org/W2962678076","https://openalex.org/W2979787545","https://openalex.org/W3017153481","https://openalex.org/W3049320518","https://openalex.org/W3099635097","https://openalex.org/W3203934147","https://openalex.org/W3203934469","https://openalex.org/W3203976604","https://openalex.org/W4295936460","https://openalex.org/W4295938041","https://openalex.org/W4365211636","https://openalex.org/W4382450643","https://openalex.org/W4385574866","https://openalex.org/W4387831763","https://openalex.org/W4391567665"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurately":[0],"segmenting":[1],"brain":[2,13,52,153],"tumors":[3],"from":[4,121],"multimodal":[5,124],"MRI":[6],"sequences":[7],"is":[8,30,72,110,161],"a":[9,75,103],"key":[10],"prerequisite":[11],"for":[12,130],"tumor":[14,53,63,101,120,136,154],"diagnosis,":[15],"prognosis":[16],"assessment,":[17],"and":[18,105,151],"surgical":[19],"treatment.":[20],"However,":[21],"in":[22],"practical":[23],"applications,":[24],"one":[25],"or":[26,44],"more":[27],"modal":[28],"data":[29,93],"often":[31],"missing":[32,123],"due":[33],"to":[34,73,112,133],"image":[35,125],"corruption,":[36],"different":[37],"acquisition":[38],"protocols,":[39],"artifacts,":[40],"contrast":[41],"agent":[42],"allergies,":[43],"cost":[45],"considerations.":[46],"To":[47],"address":[48],"the":[49,83,98,115,119,122,131,135,141,147,152,164],"challenges":[50],"of":[51,69,87,97,100,118,149],"segmentation":[54,155],"under":[55,91,157],"modality":[56,89],"loss,":[57],"this":[58,70],"paper":[59],"proposes":[60],"an":[61],"innovative":[62],"feature":[64,84],"perception":[65],"strategy.":[66],"The":[67],"core":[68],"strategy":[71],"introduce":[74],"Mamba-based":[76],"Encoder":[77],"(MBE)":[78],"architecture,":[79],"which":[80],"effectively":[81],"improves":[82],"expression":[85],"ability":[86],"each":[88],"encoder":[90],"limited":[92],"conditions.":[94],"In":[95],"view":[96],"irregularity":[99],"morphology,":[102],"Modulation":[104],"Demodulation":[106],"Fusion":[107],"Block":[108],"(MDFB)":[109],"designed":[111],"accurately":[113],"capture":[114],"semantic":[116],"features":[117],"data,":[126],"providing":[127],"strong":[128],"guidance":[129],"network":[132],"locate":[134],"area.":[137],"Experimental":[138],"results":[139],"on":[140],"widely":[142],"used":[143],"BraTS2020":[144],"dataset":[145],"demonstrate":[146],"effectiveness":[148],"MMITS,":[150],"effect":[156],"various":[158],"incomplete":[159],"modalities":[160],"better":[162],"than":[163],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}