{"id":"https://openalex.org/W4406262221","doi":"https://doi.org/10.1109/bibm62325.2024.10822001","title":"MDKFusion: Medical Domain Knowledge-Inspired Area Amplification Network for Multi-Sequence MRI Image Fusion in Ischemic Stroke","display_name":"MDKFusion: Medical Domain Knowledge-Inspired Area Amplification Network for Multi-Sequence MRI Image Fusion in Ischemic Stroke","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406262221","doi":"https://doi.org/10.1109/bibm62325.2024.10822001"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5040771051","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-3009-279X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Xinjiang University,School of Computer Science and Technology,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Computer Science and Technology,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109027224","display_name":"Pahati Tuxunjiang","orcid":null},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]},{"id":"https://openalex.org/I2802734952","display_name":"First Affiliated Hospital of Xinjiang Medical University","ror":"https://ror.org/02qx1ae98","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802734952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pahati Tuxunjiang","raw_affiliation_strings":["The First Affiliated Hospital of Xinjiang Medical University,The Radiology Center,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Xinjiang Medical University,The Radiology Center,Urumqi,China","institution_ids":["https://openalex.org/I2802734952","https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023161928","display_name":"Feng Li","orcid":"https://orcid.org/0000-0002-4387-423X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["Xinjiang University,College of Software,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Software,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047166646","display_name":"Enguang Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enguang Zuo","raw_affiliation_strings":["Xinjiang University,College of Intelligent Science and Technology,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Intelligent Science and Technology,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084962743","display_name":"Xiaoyi Lv","orcid":"https://orcid.org/0000-0001-6855-7428"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Lv","raw_affiliation_strings":["Xinjiang University,College of Software,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Software,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102943191","display_name":"Yunling Wang","orcid":"https://orcid.org/0009-0006-4779-4671"},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]},{"id":"https://openalex.org/I2802734952","display_name":"First Affiliated Hospital of Xinjiang Medical University","ror":"https://ror.org/02qx1ae98","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802734952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunling Wang","raw_affiliation_strings":["The First Affiliated Hospital of Xinjiang Medical University,The Radiology Center,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Xinjiang Medical University,The Radiology Center,Urumqi,China","institution_ids":["https://openalex.org/I2802734952","https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418543","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-1406-5721"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Xinjiang University,College of Software,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Software,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420556","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-6040-6833"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["Xinjiang University,College of Software,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Software,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.35789644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2122","last_page":"2127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9926000237464905,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9624999761581421,"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":0.6341601610183716},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5613566637039185},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5515241622924805},{"id":"https://openalex.org/keywords/ischemic-stroke","display_name":"Ischemic stroke","score":0.47953224182128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46110019087791443},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.43776363134384155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3232088088989258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3225920498371124},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.257529079914093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13156956434249878},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11086085438728333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1045123040676117},{"id":"https://openalex.org/keywords/ischemia","display_name":"Ischemia","score":0.09811767935752869},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08022341132164001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341601610183716},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5613566637039185},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5515241622924805},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.47953224182128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46110019087791443},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.43776363134384155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3232088088989258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3225920498371124},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.257529079914093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13156956434249878},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11086085438728333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1045123040676117},{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.09811767935752869},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08022341132164001},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":40,"referenced_works":["https://openalex.org/W1708141795","https://openalex.org/W1964641132","https://openalex.org/W1997596006","https://openalex.org/W2009758395","https://openalex.org/W2054273865","https://openalex.org/W2071881327","https://openalex.org/W2091649119","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2148726987","https://openalex.org/W2153777140","https://openalex.org/W2476548250","https://openalex.org/W2744198280","https://openalex.org/W2809795042","https://openalex.org/W2963787388","https://openalex.org/W3025068990","https://openalex.org/W3033635470","https://openalex.org/W3040984225","https://openalex.org/W3143068962","https://openalex.org/W3156739093","https://openalex.org/W3171420223","https://openalex.org/W3182264287","https://openalex.org/W3205542311","https://openalex.org/W4235770099","https://openalex.org/W4283732315","https://openalex.org/W4285600783","https://openalex.org/W4286361941","https://openalex.org/W4288391270","https://openalex.org/W4307703636","https://openalex.org/W4313555022","https://openalex.org/W4317987737","https://openalex.org/W4323891945","https://openalex.org/W4367397195","https://openalex.org/W4375928908","https://openalex.org/W4384382812","https://openalex.org/W4385063871","https://openalex.org/W4386076504","https://openalex.org/W4388355497","https://openalex.org/W4390971198","https://openalex.org/W4393148205"],"related_works":["https://openalex.org/W2460041365","https://openalex.org/W2500702315","https://openalex.org/W2811135594","https://openalex.org/W2916797227","https://openalex.org/W2155562423","https://openalex.org/W3141602030","https://openalex.org/W2112284452","https://openalex.org/W2777578976","https://openalex.org/W2032195290","https://openalex.org/W2033491986"],"abstract_inverted_index":{"Multi-sequence":[0],"MRI":[1,88],"image":[2,35,89],"fusion":[3,27,36,90,171,177],"technology":[4],"aids":[5],"radiologists":[6,200],"in":[7,91,130,194],"quickly":[8],"and":[9,14,21,47,61,73,112,115,149,167],"accurately":[10],"assessing":[11],"ischemic":[12,92],"lesions":[13],"their":[15,58],"surrounding":[16],"areas":[17],"by":[18,65],"combining":[19],"DWI":[20],"FLAIR":[22],"images":[23],"to":[24,49,131,145,161,174,201],"generate":[25],"information-rich":[26],"images.":[28,209],"Despite":[29],"the":[30,99,140,155,207],"rapid":[31],"development":[32],"of":[33,128,206],"medical":[34,52,80],"techniques,":[37],"existing":[38],"methods":[39],"are":[40],"predominantly":[41],"focused":[42],"on":[43,72],"technical-level":[44],"model":[45,62],"optimization":[46],"fail":[48],"effectively":[50],"integrate":[51],"domain":[53,81],"knowledge.":[54],"This":[55,123],"limitation":[56],"reduces":[57],"clinical":[59,195],"applicability":[60],"interpretability.":[63,136],"Inspired":[64],"radiologists'":[66,126],"diagnostic":[67],"pattern,":[68],"which":[69,105],"involves":[70],"focusing":[71],"enlarging":[74],"lesion":[75],"areas,":[76],"we":[77,97,138,197],"propose":[78],"a":[79,203],"knowledge-inspired":[82],"area":[83],"amplification":[84,111],"network":[85],"for":[86,109],"multi-sequence":[87],"stroke,":[93],"named":[94],"MDKFusion.":[95],"Specifically,":[96],"design":[98,124],"Lesion":[100],"Area":[101],"Amplification":[102],"(LAA)":[103],"module,":[104],"uses":[106],"bicubic":[107],"interpolation":[108],"adaptive":[110],"incorporates":[113],"crosslevel":[114],"neighboring-level":[116],"feature":[117,121,150],"mapping":[118],"with":[119],"high-level":[120],"co-guidance.":[122],"emulates":[125],"practice":[127],"zooming":[129],"examine":[132],"lesions,":[133],"thereby":[134],"enhancing":[135],"Additionally,":[137],"employ":[139],"Feature":[141],"Guidance":[142],"Module":[143],"(FGM)":[144],"achieve":[146],"progressive":[147],"guidance":[148],"integration.":[151],"We":[152],"further":[153],"introduce":[154],"\u2112<inf":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SCD</inf>":[158],"loss":[159],"function":[160],"minimize":[162],"pixel":[163],"discrepancies":[164],"between":[165],"source":[166],"fused":[168,208],"images,":[169],"improving":[170],"quality.":[172],"Compared":[173],"various":[175],"mainstream":[176],"methods,":[178],"MDKFusion":[179],"achieves":[180],"state-of-the-art":[181],"(SOTA)":[182],"performance":[183],"across":[184],"eight":[185],"objective":[186],"evaluation":[187,205],"metrics.":[188],"To":[189],"confirm":[190],"its":[191],"practical":[192],"value":[193],"diagnosis,":[196],"invited":[198],"five":[199],"perform":[202],"subjective":[204],"Our":[210],"code":[211],"will":[212],"be":[213],"available":[214],"at":[215],"https://github.com/MinLila/MDKFusion.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}