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 *

103 related articles for article (PubMed ID: 35148262)

  • 1. TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network.
    Fan CC; Peng L; Wang T; Yang H; Zhou XH; Ni ZL; Wang G; Chen S; Zhou YJ; Hou ZG
    IEEE Trans Med Imaging; 2022 Aug; 41(8):1925-1937. PubMed ID: 35148262
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Diagnostic Performance of Generative Adversarial Network-Based Deep Learning Methods for Alzheimer's Disease: A Systematic Review and Meta-Analysis.
    Qu C; Zou Y; Ma Y; Chen Q; Luo J; Fan H; Jia Z; Gong Q; Chen T
    Front Aging Neurosci; 2022; 14():841696. PubMed ID: 35527734
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
    Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
    Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction.
    Han C; Rundo L; Murao K; Noguchi T; Shimahara Y; Milacski ZÁ; Koshino S; Sala E; Nakayama H; Satoh S
    BMC Bioinformatics; 2021 Apr; 22(Suppl 2):31. PubMed ID: 33902457
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network.
    Zhao Y; Ma B; Jiang P; Zeng D; Wang X; Li S
    IEEE J Biomed Health Inform; 2021 Mar; 25(3):711-719. PubMed ID: 32750952
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment.
    Yu W; Lei B; Ng MK; Cheung AC; Shen Y; Wang S
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4945-4959. PubMed ID: 33729958
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Advancing diagnostic performance and clinical applicability of deep learning-driven generative adversarial networks for Alzheimer's disease.
    Qu C; Zou Y; Dai Q; Ma Y; He J; Liu Q; Kuang W; Jia Z; Chen T; Gong Q
    Psychoradiology; 2021 Dec; 1(4):225-248. PubMed ID: 38666217
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exceptional performance with minimal data using a generative adversarial network for alzheimer's disease classification.
    Wong PC; Abdullah SS; Shapiai MI
    Sci Rep; 2024 Jul; 14(1):17037. PubMed ID: 39043757
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
    Dimitriadis SI; Liparas D; Tsolaki MN;
    J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Deep learning prediction of mild cognitive impairment conversion to Alzheimer's disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI.
    Ocasio E; Duong TQ
    PeerJ Comput Sci; 2021; 7():e560. PubMed ID: 34141888
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease.
    Bron EE; Klein S; Papma JM; Jiskoot LC; Venkatraghavan V; Linders J; Aalten P; De Deyn PP; Biessels GJ; Claassen JAHR; Middelkoop HAM; Smits M; Niessen WJ; van Swieten JC; van der Flier WM; Ramakers IHGB; van der Lugt A; ;
    Neuroimage Clin; 2021; 31():102712. PubMed ID: 34118592
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep recurrent model for individualized prediction of Alzheimer's disease progression.
    Jung W; Jun E; Suk HI;
    Neuroimage; 2021 Aug; 237():118143. PubMed ID: 33991694
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer's Disease Using Structural MRI Images.
    Ashtari-Majlan M; Seifi A; Dehshibi MM
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3918-3926. PubMed ID: 35239494
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spatio-temporal convolution for classification of alzheimer disease and mild cognitive impairment.
    Turhan G; Küçük H; Isik EO
    Comput Methods Programs Biomed; 2022 Jun; 221():106825. PubMed ID: 35636355
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-task multi-level feature adversarial network for joint Alzheimer's disease diagnosis and atrophy localization using sMRI.
    Han K; He M; Yang F; Zhang Y
    Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35299163
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease.
    Gao X; Liu H; Shi F; Shen D; Liu M
    IEEE J Biomed Health Inform; 2023 Oct; 27(10):4961-4970. PubMed ID: 37607152
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
    Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
    J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
    Huang P; Li D; Jiao Z; Wei D; Cao B; Mo Z; Wang Q; Zhang H; Shen D
    Med Image Anal; 2022 Jul; 79():102472. PubMed ID: 35567847
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.