These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 38002538)

  • 1. Multi-Slice Generation sMRI and fMRI for Autism Spectrum Disorder Diagnosis Using 3D-CNN and Vision Transformers.
    Alharthi AG; Alzahrani SM
    Brain Sci; 2023 Nov; 13(11):. PubMed ID: 38002538
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
    Alharthi AG; Alzahrani SM
    Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network.
    Akhavan Aghdam M; Sharifi A; Pedram MM
    J Digit Imaging; 2018 Dec; 31(6):895-903. PubMed ID: 29736781
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PVTAD: ALZHEIMER'S DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA.
    Aghdam MA; Bozdag S; Saeed F;
    bioRxiv; 2023 Dec; ():. PubMed ID: 38045324
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network.
    Ahammed MS; Niu S; Ahmed MR; Dong J; Gao X; Chen Y
    Front Neuroinform; 2021; 15():635657. PubMed ID: 34248531
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The Development of a Practical Artificial Intelligence Tool for Diagnosing and Evaluating Autism Spectrum Disorder: Multicenter Study.
    Chen T; Chen Y; Yuan M; Gerstein M; Li T; Liang H; Froehlich T; Lu L
    JMIR Med Inform; 2020 May; 8(5):e15767. PubMed ID: 32041690
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning.
    Nogay HS; Adeli H
    J Med Syst; 2024 Jan; 48(1):15. PubMed ID: 38252192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnosis of Alzheimer's disease using structure highlighting key slice stacking and transfer learning.
    Ban Y; Zhang X; Lao H
    Med Phys; 2022 Sep; 49(9):5855-5869. PubMed ID: 35894542
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks.
    Thomas RM; Gallo S; Cerliani L; Zhutovsky P; El-Gazzar A; van Wingen G
    Front Psychiatry; 2020; 11():440. PubMed ID: 32477198
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging.
    Gao K; Sun Y; Niu S; Wang L
    Autism Res; 2021 Dec; 14(12):2512-2523. PubMed ID: 34643325
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
    Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
    Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Vision transformers for the prediction of mild cognitive impairment to Alzheimer's disease progression using mid-sagittal sMRI.
    Hoang GM; Kim UH; Kim JG
    Front Aging Neurosci; 2023; 15():1102869. PubMed ID: 37122374
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Early Detection of Alzheimer's Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning.
    Pan D; Zeng A; Jia L; Huang Y; Frizzell T; Song X
    Front Neurosci; 2020; 14():259. PubMed ID: 32477040
    [TBL] [Abstract][Full Text] [Related]  

  • 14. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
    Vu H; Kim HC; Jung M; Lee JH
    Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography.
    Usman M; Zia T; Tariq A
    J Digit Imaging; 2022 Dec; 35(6):1445-1462. PubMed ID: 35819537
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.
    Mellema CJ; Nguyen KP; Treacher A; Montillo A
    Sci Rep; 2022 Feb; 12(1):3057. PubMed ID: 35197468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classifying ASD based on time-series fMRI using spatial-temporal transformer.
    Deng X; Zhang J; Liu R; Liu K
    Comput Biol Med; 2022 Dec; 151(Pt B):106320. PubMed ID: 36442277
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network.
    Al-Hiyali MI; Yahya N; Faye I; Hussein AF
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450699
    [TBL] [Abstract][Full Text] [Related]  

  • 20. OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer's Disease Using Resting-State fMRI and Structural MRI Data.
    Sarraf S; Sarraf A; DeSouza DD; Anderson JAE; Kabia M; The Alzheimer's Disease Neuroimaging Initiative
    Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831803
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.