BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

366 related articles for article (PubMed ID: 32446943)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data.
    Liu L; Liu S; Zhang L; To XV; Nasrallah F; Chandra SS
    Neuroimage; 2023 Aug; 277():120267. PubMed ID: 37422279
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
    Elahifasaee F; Li F; Yang M
    Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
    Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M
    Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
    Liu M; Zhang D; Shen D
    IEEE Trans Med Imaging; 2016 Jun; 35(6):1463-74. PubMed ID: 26742127
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer's disease classification using multi-modal data.
    Dai Y; Zou B; Zhu C; Li Y; Chen Z; Ji Z; Kui X; Zhang W
    Comput Biol Med; 2023 Oct; 165():107396. PubMed ID: 37703717
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
    Liu Y; Yue L; Xiao S; Yang W; Shen D; Liu M
    Med Image Anal; 2022 Jan; 75():102266. PubMed ID: 34700245
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers.
    Xu L; Wu X; Li R; Chen K; Long Z; Zhang J; Guo X; Yao L;
    J Alzheimers Dis; 2016; 51(4):1045-56. PubMed ID: 26923024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
    Zhou T; Thung KH; Liu M; Shi F; Zhang C; Shen D
    Med Image Anal; 2020 Feb; 60():101630. PubMed ID: 31927474
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Alzheimer's disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction.
    Cheng J; Wang H; Wei S; Mei J; Liu F; Zhang G
    Comput Biol Med; 2024 Mar; 170():108000. PubMed ID: 38232453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans.
    Zhang Y; He X; Chan YH; Teng Q; Rajapakse JC
    Comput Biol Med; 2023 Sep; 164():107328. PubMed ID: 37573721
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.
    Xu L; Wu X; Chen K; Yao L
    Comput Methods Programs Biomed; 2015 Nov; 122(2):182-90. PubMed ID: 26298855
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.
    Li Q; Wu X; Xu L; Chen K; Yao L; Li R
    Comput Methods Programs Biomed; 2017 Oct; 150():1-8. PubMed ID: 28859825
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
    Beheshti I; Demirel H; Matsuda H;
    Comput Biol Med; 2017 Apr; 83():109-119. PubMed ID: 28260614
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.