{"id":"https://openalex.org/W7155052273","doi":"https://doi.org/10.1016/j.neuroimage.2026.121924","title":"Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net)","display_name":"Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net)","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155052273","doi":"https://doi.org/10.1016/j.neuroimage.2026.121924","pmid":"https://pubmed.ncbi.nlm.nih.gov/42019196"},"language":"en","primary_location":{"id":"doi:10.1016/j.neuroimage.2026.121924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.121924","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.neuroimage.2026.121924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134138649","display_name":"Jianzhong He","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong He","raw_affiliation_strings":["Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402577","display_name":"Li J","orcid":"https://orcid.org/0000-0003-1338-8764"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Li","raw_affiliation_strings":["Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011217692","display_name":"Yiang Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiang Pan","raw_affiliation_strings":["Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111254154","display_name":"Yixin Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Gu","raw_affiliation_strings":["Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113276547","display_name":"Wangang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangang Cheng","raw_affiliation_strings":["Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0009-0002-4107-8202","affiliations":[{"raw_affiliation_string":"Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055959674","display_name":"Shun Yao","orcid":"https://orcid.org/0000-0003-1727-4078"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210128921","display_name":"The First Affiliated Hospital, Sun Yat-sen University","ror":"https://ror.org/037p24858","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Yao","raw_affiliation_strings":["The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1727-4078","affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210128921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064803388","display_name":"F Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5032-6039","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082042615","display_name":"Lauren J. O\u2019Donnell","orcid":"https://orcid.org/0000-0003-0197-7801"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren J. O\u2019Donnell","raw_affiliation_strings":["Department of Radiology, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0197-7801","affiliations":[{"raw_affiliation_string":"Department of Radiology, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134202540","display_name":"Yuanjing Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanjing Feng","raw_affiliation_strings":["Institute of Advanced Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: fyjing@zjut.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: fyjing@zjut.edu.cn","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5134202540"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":{"value":3450,"currency":"USD","value_usd":3450},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48491499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"333","issue":null,"first_page":"121924","last_page":"121924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.5541999936103821,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.5541999936103821,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.06549999862909317,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.058800000697374344,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6161999702453613},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5799999833106995},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5608999729156494},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5593000054359436},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5080000162124634},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.505299985408783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.492000013589859},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48500001430511475},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936000227928162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.710099995136261},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5799999833106995},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5608999729156494},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5593000054359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5133000016212463},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5080000162124634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.505299985408783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2793999910354614}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D005829","descriptor_name":"Geniculate Bodies","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D014795","descriptor_name":"Visual Pathways","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1016/j.neuroimage.2026.121924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.121924","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},{"id":"pmid:42019196","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42019196","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:607f4dfdb50c48a5ba2c4ad4cb1a123b","is_oa":true,"landing_page_url":"https://doaj.org/article/607f4dfdb50c48a5ba2c4ad4cb1a123b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NeuroImage, Vol 333, Iss , Pp 121924- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.neuroimage.2026.121924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.121924","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5629072189331055,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1453683200","https://openalex.org/W1964802316","https://openalex.org/W1971654961","https://openalex.org/W1983208069","https://openalex.org/W2002896548","https://openalex.org/W2007178835","https://openalex.org/W2019795338","https://openalex.org/W2024729467","https://openalex.org/W2032445406","https://openalex.org/W2033793704","https://openalex.org/W2065131965","https://openalex.org/W2096451472","https://openalex.org/W2114752419","https://openalex.org/W2142900310","https://openalex.org/W2154039449","https://openalex.org/W2183659962","https://openalex.org/W2340542435","https://openalex.org/W2340772677","https://openalex.org/W2563408008","https://openalex.org/W2903445676","https://openalex.org/W2905365947","https://openalex.org/W2920773390","https://openalex.org/W2921308094","https://openalex.org/W3044683644","https://openalex.org/W3120093105","https://openalex.org/W3161253668","https://openalex.org/W4205798776","https://openalex.org/W4312018899","https://openalex.org/W4319871981","https://openalex.org/W4392123044","https://openalex.org/W4400736073","https://openalex.org/W4404544538","https://openalex.org/W4405765051"],"related_works":[],"abstract_inverted_index":{"The":[0],"Retinogeniculate":[1],"Visual":[2],"Pathway":[3],"(RGVP)":[4],"is":[5,32],"one":[6],"of":[7,29,38,49,61,240],"the":[8,18,21,30,59,128,147,195,200,205,237],"primary":[9],"neural":[10],"pathways":[11],"responsible":[12],"for":[13,34,42,116,244],"transmitting":[14],"visual":[15,39],"signals":[16],"from":[17],"retina":[19],"to":[20,57,97,140,155,166,180,198],"lateral":[22],"geniculate":[23],"nucleus.":[24],"Accurate":[25],"and":[26,41,70,81,143,160,177,184,189,225,246],"complete":[27],"identification":[28,64,119],"RGVP":[31,63,90,100,118,207,229,249],"crucial":[33],"advancing":[35],"our":[36],"understanding":[37],"cognition":[40],"improving":[43],"neurosurgical":[44],"planning.":[45],"Recently,":[46],"a":[47,108,136,150,161],"number":[48],"automated":[50,117,248],"deep":[51,241],"learning-based":[52,242],"approaches":[53,243],"have":[54],"been":[55],"developed":[56],"overcome":[58],"limitations":[60],"traditional":[62],"methods,":[65,224],"which":[66],"are":[67],"often":[68],"time-consuming":[69],"labor-intensive.":[71],"However,":[72],"most":[73],"existing":[74],"methods":[75],"primarily":[76],"depend":[77],"on":[78,174],"fiber":[79],"geometry":[80],"ambiguous":[82],"microstructural":[83,144],"features,":[84],"while":[85],"overlooking":[86],"inter-subject":[87],"variability":[88],"in":[89,194,203],"trajectories":[91],"-":[92],"an":[93],"issue":[94],"we":[95,106,187],"refer":[96],"as":[98],"\"inter-subject":[99,206,228],"trajectory":[101,208,230],"variability\".":[102],"In":[103],"this":[104,234],"study,":[105],"propose":[107],"novel":[109],"Multiscale":[110],"Point":[111],"Cloud":[112],"Fusion":[113],"Network":[114],"(MSPF-Net)":[115],"using":[120],"diffusion":[121],"magnetic":[122],"resonance":[123],"image":[124],"tractography.":[125],"To":[126],"address":[127],"aforementioned":[129],"challenges,":[130],"MSPF-Net":[131,173,215],"integrates":[132],"three":[133],"key":[134],"modules:":[135],"Feature":[137,152,163],"Concatenating":[138],"Module":[139,154,165],"fuse":[141],"positional":[142],"information":[145],"at":[146],"point":[148],"level,":[149],"Local":[151],"Extraction":[153,164],"capture":[156],"local":[157],"geometric":[158],"patterns,":[159],"Global":[162],"learn":[167],"global":[168],"contextual":[169],"representations.":[170],"We":[171],"evaluate":[172],"both":[175],"HCP":[176],"CHCP":[178,196],"datasets":[179],"assess":[181],"its":[182],"generalizability":[183],"robustness.":[185],"Furthermore,":[186],"identify":[188],"quantify":[190],"similar":[191],"streamline":[192],"pairs":[193],"dataset":[197],"validate":[199],"model's":[201],"effectiveness":[202],"mitigating":[204],"variability\"":[209,231],"issue.":[210,232],"Experimental":[211],"results":[212],"demonstrate":[213],"that":[214],"achieves":[216],"higher":[217],"recognition":[218],"accuracy":[219],"than":[220],"several":[221],"state-of-the-art":[222],"(SOTA)":[223],"effectively":[226],"mitigate":[227],"Overall,":[233],"study":[235],"highlights":[236],"strong":[238],"potential":[239],"accurate":[245],"fully":[247],"identification.":[250]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-04-22T00:00:00"}
