ArticleNeural networks : the official journal of the International Neural Network Society2025
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.
Minhui Yu, Yuqi Fang, Yunbi Liu, Andrea C Bozoki, Shifu Xiao, Ling Yue, Mingxia Liu
Abstract read
In one paragraphArticle in Neural networks : the official journal of the International Neural Network Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 · Who and what moneyAuthors and funding
7 authors.
Minhui YuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA.
Yuqi FangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Yunbi LiuSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.
Andrea C BozokiDepartment of Neurology, University of North Carolina at Chapel Hill, NC 27599, USA.
Shifu XiaoDepartment of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China.
Ling YueDepartment of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China. Electronic address: bellinthemoon@hotmail.com.
Mingxia LiuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: mingxia_liu@med.unc.edu.
Funding
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6MOptimized High-Resolution Fast Magnetic Resonance Fingerprinting with Cloud-Based ReconstructionR01NS134849 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yong Chen, Pew-Thian Yap · 2024 to 2026
$1.9MComprehensive MR Fingerprinting for Infants and Young Children at Risk for Developmental Delays.R01HD112923 · NICHD · DUKE UNIVERSITY · PI Dan Ma, DEANNE E WILSON-COSTELLO · 2024 to 2026
$1.7MMulti-Site Neuroimage Harmonization for Personalized Brain Disorder AnalysisRF1AG073297 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2022 to 2022
$1.4MAI-Powered MRI Quality Control and Artifact Correction for Multi-Site StudiesR01EB035160 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Pew-Thian Yap · 2024 to 2026
$1.2MMulti-Site Neuroimage Harmonization for Personalized Brain Disorder AnalysisR01AG073297 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mingxia Liu · 2025 to 2026
$922kNIA NIH HHS R01 AG073297NIA NIH HHS RF1 AG073297NIA NIH HHS RF1 AG082938NIBIB NIH HHS R01 EB035160NICHD NIH HHS R01 HD112923NINDS NIH HHS R01 NS134849
6 · The paper itselfAbstract
While numerous studies strive to exploit the complementary potential of MRI and PET using learning-based methods, the effective fusion of the two modalities remains a tricky problem due to their inherently distinctive properties. In addition, current studies often face the problem of small sample sizes and missing PET data due to factors such as patient withdrawal or low image quality. To this end, we propose a hybrid multi-modality multi-task learning (HM
Indexed as
Cognitive DysfunctionDisease ProgressionMachine LearningAgedFemaleForecastingHumansMagnetic Resonance ImagingMalePositron-Emission TomographyMRIMulti-modality fusionPETSubjective cognitive decline
Identifiers
PMID39985974
PMCPMC11893250
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