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Journal Abstract Search

141 related items for PubMed ID: 37622561

  • 1. An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.
    Nithya VP, Mohanasundaram N, Santhosh R.
    Curr Med Imaging; 2024; 20():e250823220361. PubMed ID: 37622561
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  • 2. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
    Ramzan F, Khan MUG, Rehmat A, Iqbal S, Saba T, Rehman A, Mehmood Z.
    J Med Syst; 2019 Dec 18; 44(2):37. PubMed ID: 31853655
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  • 3. An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease.
    Sun H, Wang A, Wang W, Liu C.
    Sensors (Basel); 2021 Jun 18; 21(12):. PubMed ID: 34207145
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  • 4. Application of Imaging Examination Based on Deep Learning in the Diagnosis of Viral Senile Pneumonia.
    Deng X, Ge X, Xue Q, Liu H.
    Contrast Media Mol Imaging; 2022 Jun 18; 2022():6964283. PubMed ID: 35694707
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  • 5. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
    Yazdan SA, Ahmad R, Iqbal N, Rizwan A, Khan AN, Kim DH.
    Tomography; 2022 Jul 26; 8(4):1905-1927. PubMed ID: 35894026
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  • 6. 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, Alzheimer’s Disease Neuroimaging Initiative, Shen L, Xu M.
    Neuroimage; 2020 Mar 26; 208():116459. PubMed ID: 31837471
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  • 7. An early detection and segmentation of Brain Tumor using Deep Neural Network.
    Aggarwal M, Tiwari AK, Sarathi MP, Bijalwan A.
    BMC Med Inform Decis Mak; 2023 Apr 26; 23(1):78. PubMed ID: 37101176
    [Abstract] [Full Text] [Related]

  • 8. Structure focused neurodegeneration convolutional neural network for modelling and classification of Alzheimer's disease.
    Odimayo S, Olisah CC, Mohammed K.
    Sci Rep; 2024 Jul 03; 14(1):15270. PubMed ID: 38961114
    [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, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2019 Apr 01; 189():276-287. PubMed ID: 30654174
    [Abstract] [Full Text] [Related]

  • 10. Alzheimer's Disease Prediction Using Fly-Optimized Densely Connected Convolution Neural Networks Based on MRI Images.
    Sampath R, Baskar M.
    J Prev Alzheimers Dis; 2024 Apr 01; 11(4):1106-1121. PubMed ID: 39044523
    [Abstract] [Full Text] [Related]

  • 11. Deep sequence modelling for Alzheimer's disease detection using MRI.
    Ebrahimi A, Luo S, Chiong R, Alzheimer's Disease Neuroimaging InitiativeSchool of Electrical Engineering and Computing, The University of Newcastle, NSW 2308, Australia..
    Comput Biol Med; 2021 Jul 01; 134():104537. PubMed ID: 34118752
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  • 13. MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network.
    Tang C, Xi M, Sun J, Wang S, Zhang Y, Alzheimer's Disease Neuroimaging Initiative.
    Comput Methods Programs Biomed; 2024 Sep 01; 254():108259. PubMed ID: 38865795
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  • 19. Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images.
    Yoshimi Y, Mine Y, Ito S, Takeda S, Okazaki S, Nakamoto T, Nagasaki T, Kakimoto N, Murayama T, Tanimoto K.
    Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Jul 01; 138(1):128-141. PubMed ID: 37263812
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