{"id":"https://openalex.org/W4406271309","doi":"https://doi.org/10.1109/bibm62325.2024.10822497","title":"Microstructure Estimation Using Synergistic Dual-path Hybrid Network","display_name":"Microstructure Estimation Using Synergistic Dual-path Hybrid Network","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271309","doi":"https://doi.org/10.1109/bibm62325.2024.10822497"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822497","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/A5100714747","display_name":"Jiquan Ma","orcid":"https://orcid.org/0000-0003-3072-7799"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiquan Ma","raw_affiliation_strings":["Heilongjiang University,Department of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University,Department of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I1300757298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602897","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0001-8903-2903"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Heilongjiang University,Department of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University,Department of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I1300757298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101169048","display_name":"Junqing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqing Yang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420087","display_name":"Siqi Wang","orcid":"https://orcid.org/0000-0003-2963-9839"},"institutions":[{"id":"https://openalex.org/I1300757298","display_name":"Heilongjiang University of Science and Technology","ror":"https://ror.org/030xwyx96","country_code":"CN","type":"education","lineage":["https://openalex.org/I1300757298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Wang","raw_affiliation_strings":["Heilongjiang University,Department of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University,Department of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I1300757298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765638","display_name":"Geng Chen","orcid":"https://orcid.org/0000-0001-8350-6581"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Chen","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100714747"],"corresponding_institution_ids":["https://openalex.org/I1300757298"],"apc_list":null,"apc_paid":null,"fwci":0.3701,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69250479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3603","last_page":"3606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microstructure","display_name":"Microstructure","score":0.6881824135780334},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5914508700370789},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5146868824958801},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4784417450428009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4338816702365875},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3665013909339905},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2576269805431366},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.23508316278457642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12402501702308655}],"concepts":[{"id":"https://openalex.org/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"score":0.6881824135780334},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5914508700370789},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5146868824958801},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4784417450428009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4338816702365875},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3665013909339905},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2576269805431366},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.23508316278457642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12402501702308655},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822497","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1597940528","https://openalex.org/W2024729467","https://openalex.org/W2032254014","https://openalex.org/W2116823839","https://openalex.org/W2328247767","https://openalex.org/W2605497836","https://openalex.org/W2752441243","https://openalex.org/W2883197958","https://openalex.org/W2884436604","https://openalex.org/W2900936384","https://openalex.org/W2901826627","https://openalex.org/W2953031404","https://openalex.org/W3091744742","https://openalex.org/W4312349930","https://openalex.org/W4387211319","https://openalex.org/W4387225890","https://openalex.org/W6720006811","https://openalex.org/W6810476078","https://openalex.org/W6843685228"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2058940780","https://openalex.org/W2090404944","https://openalex.org/W2046332915","https://openalex.org/W2354424856","https://openalex.org/W2375093060","https://openalex.org/W4404995717","https://openalex.org/W2605776044","https://openalex.org/W2392473810","https://openalex.org/W2016187641"],"abstract_inverted_index":{"White":[0],"matter":[1,20],"microstructure":[2,82],"plays":[3],"a":[4,66,89,121],"pivotal":[5],"role":[6],"in":[7,33,40,97,105,142,147,152],"the":[8,41,127,133,153,162,171],"diagnosis":[9],"and":[10,46,56,99,119],"study":[11],"of":[12,18,48],"brain":[13],"disorders.":[14],"Deep":[15],"learning-based":[16],"estimation":[17],"white":[19],"microstructural":[21],"indices":[22],"from":[23,113,161],"diffusion":[24,115,130],"MRI":[25],"(dMRI)":[26],"data":[27,160],"has":[28],"gained":[29],"increasing":[30],"research":[31],"attention":[32],"recent":[34],"years.":[35],"To":[36,61],"conduct":[37],"effective":[38,81,138],"learning":[39,96,135,146,155],"heterogeneous":[42,106],"space":[43],"(i.e.,":[44],"x-space":[45,98,143],"q-space)":[47],"dMRI":[49],"data,":[50],"hybrid":[51,68,74],"neural":[52,69,76],"networks":[53],"were":[54],"proposed":[55],"have":[57],"shown":[58],"great":[59],"potential.":[60],"this":[62],"end,":[63],"we":[64,87],"propose":[65,88],"new":[67],"network,":[70],"called":[71],"synergistic":[72],"dual-path":[73,90],"convolutional":[75],"network":[77],"(SDH-Net),":[78],"for":[79],"more":[80],"estimation.":[83],"In":[84,132],"our":[85,168],"SDH-Net,":[86],"architecture":[91],"that":[92,167],"takes":[93],"bidirectional":[94],"asymmetric":[95],"q-space":[100],"to":[101,144],"enhance":[102,145],"feature":[103],"representation":[104,139],"domains.":[107],"Firstly,":[108],"3D":[109],"patches":[110],"are":[111],"extracted":[112],"each":[114],"gradient":[116],"as":[117],"vertices,":[118],"then":[120],"graph":[122],"is":[123,140],"constructed":[124],"based":[125],"on":[126,159],"correlation":[128],"between":[129],"angles.":[131],"x-q":[134],"branch,":[136],"an":[137],"embedded":[141],"q-space,":[148],"while":[149],"vice":[150],"versa":[151],"q-x":[154],"branch.":[156],"Extensive":[157],"experiments":[158],"human":[163],"connectome":[164],"project":[165],"demonstrate":[166],"SDH-Net":[169],"outperforms":[170],"existing":[172],"state-of-the-art":[173],"models.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
