{"id":"https://openalex.org/W4406260681","doi":"https://doi.org/10.1109/bibm62325.2024.10822650","title":"Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space","display_name":"Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260681","doi":"https://doi.org/10.1109/bibm62325.2024.10822650"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822650","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":"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/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":false,"raw_author_name":"Jiquan Ma","raw_affiliation_strings":["Heilongjiang University,Department of Computer Science and Technology,Harbin,China"],"raw_orcid":null,"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/A5113372841","display_name":"Chengdong Deng","orcid":null},"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":"Chengdong Deng","raw_affiliation_strings":["Heilongjiang University,Department of Computer Science and Technology,Harbin,China"],"raw_orcid":null,"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/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’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013355040","display_name":"Haotian Jiang","orcid":"https://orcid.org/0000-0001-9764-4029"},"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":"Haotian Jiang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science and Engineering,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science and Engineering,Xi’an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061589980","display_name":"Shijie Huang","orcid":"https://orcid.org/0000-0002-9508-0458"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Huang","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087063621","display_name":"Jaeil Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeil Kim","raw_affiliation_strings":["Kyungpook National University,School of Computer Science and Engineering,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,School of Computer Science and Engineering,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073301735","display_name":"Xuyun Wen","orcid":"https://orcid.org/0000-0003-2230-8658"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyun Wen","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,School of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,School of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113307510","display_name":"Dinggang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3598","last_page":"3602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9853000044822693,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9853000044822693,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9714999794960022,"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/decoding-methods","display_name":"Decoding methods","score":0.785220742225647},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.5519945025444031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5068040490150452},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45113760232925415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39388853311538696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2041265070438385},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16897836327552795}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.785220742225647},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.5519945025444031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5068040490150452},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45113760232925415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39388853311538696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2041265070438385},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16897836327552795},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822650","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":22,"referenced_works":["https://openalex.org/W1965894642","https://openalex.org/W1968179180","https://openalex.org/W1983208069","https://openalex.org/W2001422009","https://openalex.org/W2001617943","https://openalex.org/W2008309037","https://openalex.org/W2112111016","https://openalex.org/W2165840723","https://openalex.org/W2524545577","https://openalex.org/W2559316170","https://openalex.org/W2758113150","https://openalex.org/W2885047677","https://openalex.org/W2941895184","https://openalex.org/W2943870879","https://openalex.org/W2953031404","https://openalex.org/W2970898057","https://openalex.org/W3121038455","https://openalex.org/W3175195458","https://openalex.org/W3185408546","https://openalex.org/W4225507110","https://openalex.org/W4289752563","https://openalex.org/W4386728895"],"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":{"Diffusion":[0],"magnetic":[1],"resonance":[2],"imaging":[3,11],"(dMRI),":[4],"as":[5,92],"a":[6,82,110,132],"powerful":[7],"non-invasive":[8],"white":[9,20,48],"matter":[10],"technology,":[12],"plays":[13],"an":[14,97,146],"important":[15],"role":[16],"in":[17,66,184],"studying":[18],"brain":[19,47],"matter.":[21,49],"The":[22,50,140],"fiber":[23,38],"orientation":[24],"distribution":[25],"functions":[26],"(fODFs)":[27],"derived":[28],"from":[29],"dMRI":[30,62,90,170],"data":[31,63,91],"provide":[32],"the":[33,42,59,70],"key":[34],"directional":[35],"information":[36,160],"of":[37,46,52,73,126,156],"tracts":[39],"for":[40,61,137,161],"revealing":[41],"3D":[43,103],"geometric":[44],"structure":[45],"estimation":[51,163,186],"fODFs":[53,138,162,185],"faces":[54],"two":[55],"challenges,":[56,79],"including":[57],"(i)":[58],"demand":[60],"densely":[64],"sampled":[65,89,169],"q-space":[67,87,111,122,167],"and":[68,109,187],"(ii)":[69],"joint":[71,157],"consideration":[72],"x-q":[74,147,158],"space.":[75],"To":[76],"address":[77],"these":[78],"we":[80,95],"propose":[81,96],"mixture":[83,133],"learning":[84,99,112,134],"framework":[85,142,152,181],"with":[86,131,145,164],"sparely":[88],"input.":[93],"Specifically,":[94],"x-space":[98,107],"module":[100,113,136],"based":[101,114],"on":[102,115,174],"U-Net":[104],"to":[105,120],"learn":[106,121],"features":[108,127],"spherical":[116],"convolutional":[117],"neural":[118],"networks":[119],"features.":[123],"Two":[124],"kinds":[125],"are":[128],"then":[129],"fused":[130],"fusion":[135],"estimation.":[139],"whole":[141],"is":[143,182],"supervised":[144],"space":[148,159],"loss":[149],"function.":[150],"Our":[151],"makes":[153],"full":[154],"use":[155],"clinically":[165],"available":[166],"sparsely":[168],"data.":[171],"Extensive":[172],"experiments":[173],"three":[175],"public":[176],"datasets":[177],"show":[178],"that":[179],"our":[180],"effective":[183],"outperforms":[188],"cutting-edge":[189],"models.":[190]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}