{"id":"https://openalex.org/W7126072017","doi":"https://doi.org/10.1109/bibm66473.2025.11357021","title":"MGS-EP: Mask Guided Segmentation of Regional Wall with Expert Prior Pre-Decoupling","display_name":"MGS-EP: Mask Guided Segmentation of Regional Wall with Expert Prior Pre-Decoupling","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126072017","doi":"https://doi.org/10.1109/bibm66473.2025.11357021"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357021","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":"conference-paper","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/A5124169254","display_name":"Dawei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Li","raw_affiliation_strings":["South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I174442536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023835260","display_name":"Tienan Chen","orcid":"https://orcid.org/0000-0003-2457-4685"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tienan Chen","raw_affiliation_strings":["South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I174442536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124290539","display_name":"Yongqiang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Cui","raw_affiliation_strings":["South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Central Minzu University,Dept. of Electronic Information and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I174442536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124177590","display_name":"Xiaowei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Xu","raw_affiliation_strings":["Guangdong Provincial People's Hospital,Dept. of Cardiovascular Surgery,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial People's Hospital,Dept. of Cardiovascular Surgery,Guangzhou,China","institution_ids":["https://openalex.org/I4210153930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123197509","display_name":"Yiyu Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyu Shi","raw_affiliation_strings":["University of Notre Dame,Dept. of Computer Science and Engineering,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Dept. of Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61546684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1018","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6335999965667725,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6335999965667725,"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.09309999644756317,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.029400000348687172,"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/segmentation","display_name":"Segmentation","score":0.7709000110626221},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5681999921798706},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5160999894142151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4239000082015991},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41269999742507935},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.35429999232292175}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7709000110626221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535000205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460999846458435},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5681999921798706},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4803999960422516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4239000082015991},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41269999742507935},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357021","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":[{"score":0.6163385510444641,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1587074815","https://openalex.org/W1967557118","https://openalex.org/W2128409098","https://openalex.org/W2754054868","https://openalex.org/W2757282679","https://openalex.org/W2884436604","https://openalex.org/W2946050503","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2967597710","https://openalex.org/W3011387983","https://openalex.org/W3014974815","https://openalex.org/W3025800305","https://openalex.org/W4225276399","https://openalex.org/W4229447846","https://openalex.org/W4308769137","https://openalex.org/W4310584446","https://openalex.org/W4313023122","https://openalex.org/W4318054801","https://openalex.org/W4322576907","https://openalex.org/W4382468590","https://openalex.org/W4385245566","https://openalex.org/W4387211574","https://openalex.org/W4387225014","https://openalex.org/W4390871917"],"related_works":[],"abstract_inverted_index":{"Coronary":[0],"artery":[1],"disease":[2],"(CAD)":[3],"is":[4,38,75,94],"a":[5,39,71,115,118,157,228],"type":[6],"of":[7,24,66,114,142,174,223],"heart":[8],"disease,":[9],"where":[10,33,82],"echocardiography":[11,154,179],"can":[12,218],"be":[13],"used":[14],"in":[15,225,234],"the":[16,20,34,51,54,60,97,124,128,143,161,183,208,211],"diagnosis.":[17],"Due":[18],"to":[19,107,155,182,195,207],"time-consuming":[21],"and":[22,63,117,138,217,227],"non-reproducibility":[23],"manual":[25],"assessment,":[26],"automatic":[27],"evaluation":[28],"methods":[29],"are":[30,149],"increasingly":[31],"required":[32],"regional":[35,144,166,190],"wall":[36,86,167],"segmentation":[37,56,120,168],"crucial":[40],"step.":[41],"Currently,":[42],"most":[43],"studies":[44],"prioritize":[45],"designing":[46],"sophisticated":[47],"networks,":[48],"yet":[49],"overlooking":[50],"fact":[52],"that":[53,133],"poor":[55],"performance":[57],"comes":[58],"from":[59],"inherent":[61],"fuzziness":[62,196],"low":[64],"contrast":[65],"echocardiography.":[67],"In":[68],"this":[69,91],"paper,":[70],"framework":[72],"named":[73],"MGS-EP":[74,103,212],"proposed.":[76],"Inspired":[77],"by":[78],"clinical":[79],"annotation":[80],"practices":[81],"experts":[83],"infer":[84],"missing":[85],"structures":[87],"using":[88],"anatomical":[89],"knowledge,":[90],"expert":[92],"intuition":[93],"formalized":[95],"as":[96,180],"Expert":[98],"Prior":[99],"(EP).":[100],"The":[101,172],"proposed":[102],"integrates":[104],"EP":[105,199],"constraints":[106],"compensate":[108],"for":[109,160],"image":[110],"degradation,":[111],"which":[112],"consists":[113],"pre-decoupler":[116,125],"mask-guided":[119],"(MGS)":[121],"network.":[122],"Where":[123],"first":[126],"models":[127],"EP,":[129],"generating":[130],"pseudo":[131,147,175],"masks":[132,148,176],"encapsulate":[134],"both":[135],"complete":[136],"topology":[137],"approximate":[139],"spatial":[140],"localization":[141],"walls.":[145],"These":[146],"subsequently":[150],"concatenated":[151],"with":[152,169,177],"raw":[153],"form":[156],"composite":[158],"input":[159,181],"MGS":[162,184],"network,":[163],"thereby":[164],"enabling":[165],"topological":[170,200],"integrity.":[171],"concatenation":[173],"original":[178],"network":[185],"serves":[186],"two":[187],"purposes:":[188],"mitigating":[189],"walls'":[191],"contour":[192],"degradation":[193],"due":[194],"while":[197],"embedding":[198],"constraints.":[201],"Experimental":[202],"results":[203],"demonstrate":[204],"that,":[205],"compared":[206],"baseline":[209],"nnU-Net,":[210],"enables":[213],"topologically":[214],"continuous":[215],"segmentation,":[216],"achieve":[219],"an":[220],"average":[221],"improvement":[222],"7.76%":[224],"Dice":[226],"reduction":[229],"of$\\mathbf{1":[230],"1.":[231],"6":[232],"1}$pixels":[233],"Hausdorff":[235],"Distance.":[236]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-30T00:00:00"}