BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 38865795)

  • 1. MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network.
    Tang C; Xi M; Sun J; Wang S; Zhang Y;
    Comput Methods Programs Biomed; 2024 Jun; 254():108259. PubMed ID: 38865795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling.
    Tang C; Wei M; Sun J; Wang S; Zhang Y;
    J King Saud Univ Comput Inf Sci; 2023 Jul; 35(7):101618. PubMed ID: 38559705
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-modal cross-attention network for Alzheimer's disease diagnosis with multi-modality data.
    Zhang J; He X; Liu Y; Cai Q; Chen H; Qing L
    Comput Biol Med; 2023 Aug; 162():107050. PubMed ID: 37269680
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer's Disease Diagnosis: Enhancing Data Integration and Feature Extraction.
    Odusami M; Maskeliūnas R; Damaševičius R
    J Pers Med; 2023 Oct; 13(10):. PubMed ID: 37888107
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
    Hao X; Bao Y; Guo Y; Yu M; Zhang D; Risacher SL; Saykin AJ; Yao X; Shen L;
    Med Image Anal; 2020 Feb; 60():101625. PubMed ID: 31841947
    [TBL] [Abstract][Full Text] [Related]  

  • 6. HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer's disease.
    Liu X; Li W; Miao S; Liu F; Han K; Bezabih TT
    Comput Biol Med; 2024 Jun; 176():108564. PubMed ID: 38744010
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
    Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
    Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Alzheimer's disease diagnosis via multimodal feature fusion.
    Tu Y; Lin S; Qiao J; Zhuang Y; Zhang P
    Comput Biol Med; 2022 Sep; 148():105901. PubMed ID: 35908497
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-level fusion network for mild cognitive impairment identification using multi-modal neuroimages.
    Xu H; Zhong S; Zhang Y
    Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 37019116
    [No Abstract]   [Full Text] [Related]  

  • 10. VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction.
    Hu Z; Wang Z; Jin Y; Hou W
    Comput Methods Programs Biomed; 2023 Feb; 229():107291. PubMed ID: 36516516
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis.
    Song J; Zheng J; Li P; Lu X; Zhu G; Shen P
    Front Digit Health; 2021; 3():637386. PubMed ID: 34713109
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
    Liu M; Cheng D; Wang K; Wang Y;
    Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.
    Zhang J; Zheng B; Gao A; Feng X; Liang D; Long X
    Magn Reson Imaging; 2021 May; 78():119-126. PubMed ID: 33588019
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-modal neuroimaging feature fusion for diagnosis of Alzheimer's disease.
    Zhang T; Shi M
    J Neurosci Methods; 2020 Jul; 341():108795. PubMed ID: 32446943
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A feature-aware multimodal framework with auto-fusion for Alzheimer's disease diagnosis.
    Zhang M; Cui Q; Lü Y; Li W
    Comput Biol Med; 2024 Jun; 178():108740. PubMed ID: 38901184
    [TBL] [Abstract][Full Text] [Related]  

  • 16. EAMNet: an Alzheimer's disease prediction model based on representation learning.
    Duan H; Wang H; Chen Y; Liu F; Tao L
    Phys Med Biol; 2023 Oct; 68(21):. PubMed ID: 37774713
    [No Abstract]   [Full Text] [Related]  

  • 17. Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network.
    Lei B; Li Y; Fu W; Yang P; Chen S; Wang T; Xiao X; Niu T; Fu Y; Wang S; Han H; Qin J;
    Med Image Anal; 2024 May; 97():103213. PubMed ID: 38850625
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.
    Zu C; Jie B; Liu M; Chen S; Shen D; Zhang D;
    Brain Imaging Behav; 2016 Dec; 10(4):1148-1159. PubMed ID: 26572145
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification and Graphical Analysis of Alzheimer's Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype.
    Gupta Y; Kim JI; Kim BC; Kwon GR
    Front Aging Neurosci; 2020; 12():238. PubMed ID: 32848713
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution.
    Yang Z; Li K; Gan H; Huang Z; Shi M; Zhou R
    Math Biosci Eng; 2024 Jan; 21(1):1554-1572. PubMed ID: 38303477
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.