{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T11:25:25Z","timestamp":1783164325055,"version":"3.54.6"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515011697"],"award-info":[{"award-number":["2024A1515011697"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20334"],"award-info":[{"award-number":["U23A20334"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62303413"],"award-info":[{"award-number":["62303413"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.neuroimage.2026.121924","type":"journal-article","created":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T07:02:00Z","timestamp":1776754920000},"page":"121924","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net)"],"prefix":"10.1016","volume":"333","author":[{"given":"Jianzhong","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiapeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixin","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4107-8202","authenticated-orcid":false,"given":"Wangang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1727-4078","authenticated-orcid":false,"given":"Shun","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5032-6039","authenticated-orcid":false,"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0197-7801","authenticated-orcid":false,"given":"Lauren J.","family":"O\u2019Donnell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjing","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.neuroimage.2026.121924_b1","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.1007\/s00381-015-2855-7","article-title":"Optic pathway glioma in children: does visual deficit correlate with radiology in focal exophytic lesions?","volume":"31","author":"Aquilina","year":"2015","journal-title":"Childs. Nerv. Syst."},{"key":"10.1016\/j.neuroimage.2026.121924_b2","series-title":"Supervised tractogram filtering using geometric deep learning","author":"Astolfi","year":"2022"},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121924_b3","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1002\/hbm.24411","article-title":"Aberrant visual pathway development in albinism: From retina to cortex","volume":"40","author":"Ather","year":"2019","journal-title":"Hum. Brain Mapp."},{"issue":"365","key":"10.1016\/j.neuroimage.2026.121924_b4","first-page":"1","article-title":"Advanced normalization tools (ANTS)","volume":"2","author":"Avants","year":"2009","journal-title":"Insight J"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b5","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0006-3495(94)80775-1","article-title":"MR diffusion tensor spectroscopy and imaging","volume":"66","author":"Basser","year":"1994","journal-title":"Biophys. J."},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121924_b6","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1002\/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O","article-title":"In vivo fiber tractography using DT-MRI data","volume":"44","author":"Basser","year":"2000","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2026.121924_b7","series-title":"2010 20th International Conference on Pattern Recognition","first-page":"3121","article-title":"The balanced accuracy and its posterior distribution","author":"Brodersen","year":"2010"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b8","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1006\/jmps.1999.1279","article-title":"Cross-validation methods","volume":"44","author":"Browne","year":"2000","journal-title":"J. Math. Psych."},{"key":"10.1016\/j.neuroimage.2026.121924_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103120","article-title":"TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance","volume":"94","author":"Chen","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neuroimage.2026.121924_b10","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"174","article-title":"White matter tracts are point clouds: neuropsychological score prediction and critical region localization via geometric deep learning","author":"Chen","year":"2022"},{"key":"10.1016\/j.neuroimage.2026.121924_b11","series-title":"Correlation of the measurements of optical coherence tomography and diffuse tension imaging of optic pathways in amblyopia","author":"Cinik","year":"2016"},{"key":"10.1016\/j.neuroimage.2026.121924_b12","first-page":"97","article-title":"Dimensionality based scale selection in 3d lidar point clouds","volume":"3812","author":"Demantk\u00e9","year":"2012","journal-title":"ISPRS - Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci."},{"issue":"9","key":"10.1016\/j.neuroimage.2026.121924_b13","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1109\/83.623193","article-title":"The farthest point strategy for progressive image sampling","volume":"6","author":"Eldar","year":"1997","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"10.1016\/j.neuroimage.2026.121924_b14","doi-asserted-by":"crossref","first-page":"2940","DOI":"10.1109\/TNNLS.2020.3047335","article-title":"Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks","volume":"33","author":"Fernando","year":"2021","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"6","key":"10.1016\/j.neuroimage.2026.121924_b15","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1093\/neuonc\/nos076","article-title":"Visual outcomes in children with neurofibromatosis type 1-associated optic pathway glioma following chemotherapy: a multicenter retrospective analysis","volume":"14","author":"Fisher","year":"2012","journal-title":"Neuro. Oncol."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b16","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1038\/s41593-022-01215-1","article-title":"Increasing diversity in connectomics with the Chinese human connectome project","volume":"26","author":"Ge","year":"2023","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121924_b17","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","article-title":"The minimal preprocessing pipelines for the human connectome project","volume":"80","author":"Glasser","year":"2013","journal-title":"Neuroimage"},{"issue":"12","key":"10.1016\/j.neuroimage.2026.121924_b18","doi-asserted-by":"crossref","first-page":"3887","DOI":"10.1002\/hbm.25472","article-title":"Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI","volume":"42","author":"He","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2026.121924_b19","first-page":"15","article-title":"Reconstruction and dissection of the entire human visual pathway using diffusion tensor MRI","volume":"4","author":"Hofer","year":"2010","journal-title":"Front. Neuroanat."},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121924_b20","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1109\/TKDE.2005.50","article-title":"Using AUC and accuracy in evaluating learning algorithms","volume":"17","author":"Huang","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121924_b21","doi-asserted-by":"crossref","first-page":"169","DOI":"10.7861\/clinmedicine.19-2-169","article-title":"Neuromyelitis optica spectrum disorders","volume":"19","author":"Huda","year":"2019","journal-title":"Clin. Med."},{"key":"10.1016\/j.neuroimage.2026.121924_b22","first-page":"1","article-title":"RailSeg: Learning local\u2013global feature aggregation with contextual information for railway point cloud semantic segmentation","volume":"61","author":"Jiang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"6","key":"10.1016\/j.neuroimage.2026.121924_b23","doi-asserted-by":"crossref","first-page":"540","DOI":"10.4097\/kjae.2015.68.6.540","article-title":"T test as a parametric statistic","volume":"68","author":"Kim","year":"2015","journal-title":"Korean J. Anesthesiol."},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121924_b24","article-title":"High tension versus normal tension glaucoma","volume":"5","author":"Lestak","year":"2012","journal-title":"A Comp. Struct. Funct. Exam. J Clin. Exp. Ophthalmol S"},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121924_b25","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.5312","article-title":"Automated white matter fiber tract segmentation for the brainstem","volume":"38","author":"Li","year":"2025","journal-title":"NMR Biomed."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b26","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1038\/s41597-024-03624-2","article-title":"A diffusion MRI tractography atlas for concurrent white matter mapping across eastern and western populations","volume":"11","author":"Li","year":"2024","journal-title":"Sci. Data"},{"issue":"17","key":"10.1016\/j.neuroimage.2026.121924_b27","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.70071","article-title":"Tractography-based automated identification of retinogeniculate visual pathway with novel microstructure-informed supervised contrastive learning","volume":"45","author":"Li","year":"2024","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121924_b28","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1136\/jmg.39.3.162","article-title":"Leber hereditary optic neuropathy","volume":"39","author":"Man","year":"2002","journal-title":"J. Med. Genet."},{"issue":"6","key":"10.1016\/j.neuroimage.2026.121924_b29","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1109\/JAS.2020.1003324","article-title":"CurveNet: Curvature-based multitask learning deep networks for 3D object recognition","volume":"8","author":"Muzahid","year":"2020","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121924_b30","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.neuroimage.2008.07.009","article-title":"Human brain white matter atlas: identification and assignment of common anatomical structures in superficial white matter","volume":"43","author":"Oishi","year":"2008","journal-title":"Neuroimage"},{"issue":"8","key":"10.1016\/j.neuroimage.2026.121924_b31","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1016\/j.jclinepi.2015.02.010","article-title":"The precision\u2013recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases","volume":"68","author":"Ozenne","year":"2015","journal-title":"J. Clin. Epidemiol."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b32","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1007\/s13311-018-00697-x","article-title":"Tractography for surgical neuro-oncology planning: Towards a gold standard","volume":"16","author":"Panesar","year":"2019","journal-title":"Neurotherapeutics"},{"key":"10.1016\/j.neuroimage.2026.121924_b33","first-page":"375","article-title":"And visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy. Arch ophthalmol 100: 135\u2013","author":"Quigley","year":"2000","journal-title":"Classic Pap. Glaucoma"},{"issue":"10","key":"10.1016\/j.neuroimage.2026.121924_b34","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1016\/S0161-6420(79)35338-6","article-title":"The histology of human glaucoma cupping and optic nerve damage: clinicopathologic correlation in 21 eyes","volume":"86","author":"Quigley","year":"1979","journal-title":"Ophthalmology"},{"key":"10.1016\/j.neuroimage.2026.121924_b35","doi-asserted-by":"crossref","first-page":"166","DOI":"10.3389\/fnins.2016.00166","article-title":"Joint multi-fiber NODDI parameter estimation and tractography using the unscented information filter","volume":"10","author":"Reddy","year":"2016","journal-title":"Front. Neurosci."},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121924_b36","first-page":"231","article-title":"Parametric measures of effect size","volume":"621","author":"Rosenthal","year":"1994","journal-title":"Handb. Res. Synth."},{"issue":"8","key":"10.1016\/j.neuroimage.2026.121924_b37","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1016\/j.jclinepi.2009.11.009","article-title":"Use of brier score to assess binary predictions","volume":"63","author":"Rufibach","year":"2010","journal-title":"J. Clin. Epidemiol."},{"key":"10.1016\/j.neuroimage.2026.121924_b38","series-title":"Anatomy of the human optic nerve: Structure and function","author":"Salazar Corral","year":"2018"},{"key":"10.1016\/j.neuroimage.2026.121924_b39","series-title":"Clinical Neuro-Ophthalmology","first-page":"19","article-title":"Functional anatomy of the human visual pathway","author":"Schiefer","year":"2007"},{"key":"10.1016\/j.neuroimage.2026.121924_b40","series-title":"The Top Ten Algorithms in Data Mining","first-page":"165","article-title":"kNN: k-nearest neighbors","author":"Steinbach","year":"2009"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b41","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.jneumeth.2011.10.031","article-title":"A review of multivariate methods for multimodal fusion of brain imaging data","volume":"204","author":"Sui","year":"2012","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.neuroimage.2026.121924_b42","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","article-title":"The WU-minn human connectome project: an overview","volume":"80","author":"Van Essen","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121924_b43","series-title":"Bonferroni correction","author":"Weisstein","year":"2004"},{"key":"10.1016\/j.neuroimage.2026.121924_b44","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102766","article-title":"CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation","volume":"86","author":"Xie","year":"2023","journal-title":"Med. Image Anal."},{"issue":"102160","key":"10.1016\/j.neuroimage.2026.121924_b45","article-title":"Anatomical assessment of trigeminal nerve tractography using diffusion MRI: A comparison of acquisition b-values and single- and multi-fiber tracking strategies","volume":"25","author":"Xie","year":"2020","journal-title":"NeuroImage Clin."},{"issue":"8","key":"10.1016\/j.neuroimage.2026.121924_b46","doi-asserted-by":"crossref","first-page":"1910","DOI":"10.1109\/TMI.2019.2902073","article-title":"Objective detection of eloquent axonal pathways to minimize postoperative deficits in pediatric epilepsy surgery using diffusion tractography and convolutional neural networks","volume":"38","author":"Xu","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neuroimage.2026.121924_b47","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"12500","article-title":"Geometry sharing network for 3d point cloud classification and segmentation","volume":"vol. 34","author":"Xu","year":"2020"},{"key":"10.1016\/j.neuroimage.2026.121924_b48","series-title":"TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation","author":"Xue","year":"2023"},{"key":"10.1016\/j.neuroimage.2026.121924_b49","series-title":"SupWMA: Consistent and efficient tractography parcellation of superficial white matter with deep learning","author":"Xue","year":"2022"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121924_b50","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1227\/NEU.0000000000001241","article-title":"Visualization of cranial nerves using high-definition fiber tractography","volume":"79","author":"Yoshino","year":"2016","journal-title":"Neurosurgery"},{"key":"10.1016\/j.neuroimage.2026.121924_b51","first-page":"1","article-title":"PointNAT: large-scale point cloud semantic segmentation via neighbor aggregation with transformer","volume":"62","author":"Zeng","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neuroimage.2026.121924_b52","first-page":"1","article-title":"RGVPSeg: multimodal information fusion network for retinogeniculate visual pathway segmentation","author":"Zeng","year":"2025","journal-title":"Med. Biol. Eng. Comput."},{"issue":"101761","key":"10.1016\/j.neuroimage.2026.121924_b53","article-title":"Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation","volume":"65","author":"Zhang","year":"2020","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neuroimage.2026.121924_b54","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118870","article-title":"Quantitative mapping of the brain\u2019s structural connectivity using diffusion MRI tractography: A review","volume":"249","author":"Zhang","year":"2022","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121924_b55","first-page":"299","article-title":"SlicerDMRI: Diffusion MRI and tractography research software for brain cancer surgery planning and visualization","volume":"4","author":"Zhang","year":"2020","journal-title":"JCO Clin. Cancer Inf."},{"key":"10.1016\/j.neuroimage.2026.121924_b56","series-title":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"6279","article-title":"A graph-cnn for 3d point cloud classification","author":"Zhang","year":"2018"},{"issue":"117063","key":"10.1016\/j.neuroimage.2026.121924_b57","article-title":"Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification","volume":"220","author":"Zhang","year":"2020","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121924_b58","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1016\/j.neuroimage.2010.05.049","article-title":"Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy","volume":"52","author":"Zhang","year":"2010","journal-title":"Neuroimage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811926002399?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811926002399?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T11:11:46Z","timestamp":1783163506000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811926002399"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":58,"alternative-id":["S1053811926002399"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121924","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net)","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121924","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"121924"}}