BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

434 related articles for article (PubMed ID: 33646166)

  • 1. Deep Learning and Risk Score Classification of Mild Cognitive Impairment and Alzheimer's Disease.
    Nagaraj S; Duong TQ
    J Alzheimers Dis; 2021; 80(3):1079-1090. PubMed ID: 33646166
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparing different algorithms for the course of Alzheimer's disease using machine learning.
    Tang X; Liu J
    Ann Palliat Med; 2021 Sep; 10(9):9715-9724. PubMed ID: 34628897
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment.
    Goryawala M; Zhou Q; Barker W; Loewenstein DA; Duara R; Adjouadi M
    Comput Intell Neurosci; 2015; 2015():865265. PubMed ID: 26101520
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study.
    Gu D; Lv X; Shi C; Zhang T; Liu S; Fan Z; Tu L; Zhang M; Zhang N; Chen L; Wang Z; Wang J; Zhang Y; Li H; Wang L; Zhu J; Zheng Y; Wang H; Yu X;
    J Med Internet Res; 2023 Dec; 25():e49147. PubMed ID: 38039074
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.
    Shaffi N; Subramanian K; Vimbi V; Hajamohideen F; Abdesselam A; Mahmud M
    Int J Neural Syst; 2024 Jul; 34(7):2450029. PubMed ID: 38576308
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer's dementia.
    Frölich L; Peters O; Lewczuk P; Gruber O; Teipel SJ; Gertz HJ; Jahn H; Jessen F; Kurz A; Luckhaus C; Hüll M; Pantel J; Reischies FM; Schröder J; Wagner M; Rienhoff O; Wolf S; Bauer C; Schuchhardt J; Heuser I; Rüther E; Henn F; Maier W; Wiltfang J; Kornhuber J
    Alzheimers Res Ther; 2017 Oct; 9(1):84. PubMed ID: 29017593
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 44(2):37. PubMed ID: 31853655
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.
    Wee CY; Liu C; Lee A; Poh JS; Ji H; Qiu A;
    Neuroimage Clin; 2019; 23():101929. PubMed ID: 31491832
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel joint HCPMMP method for automatically classifying Alzheimer's and different stage MCI patients.
    Sheng J; Wang B; Zhang Q; Liu Q; Ma Y; Liu W; Shao M; Chen B
    Behav Brain Res; 2019 Jun; 365():210-221. PubMed ID: 30836158
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.
    De Luna A; Marcia RF
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2641-2646. PubMed ID: 34891795
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets.
    Toshkhujaev S; Lee KH; Choi KY; Lee JJ; Kwon GR; Gupta Y; Lama RK
    J Healthc Eng; 2020; 2020():3743171. PubMed ID: 32952988
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.
    Kang MJ; Kim SY; Na DL; Kim BC; Yang DW; Kim EJ; Na HR; Han HJ; Lee JH; Kim JH; Park KH; Park KW; Han SH; Kim SY; Yoon SJ; Yoon B; Seo SW; Moon SY; Yang Y; Shim YS; Baek MJ; Jeong JH; Choi SH; Youn YC
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):231. PubMed ID: 31752864
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Investigating predictors of progression from mild cognitive impairment to Alzheimer's disease based on different time intervals.
    Wu Y; Wang X; Gu C; Zhu J; Fang Y
    Age Ageing; 2023 Sep; 52(9):. PubMed ID: 37740920
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Looking for Alzheimer's Disease morphometric signatures using machine learning techniques.
    Donnelly-Kehoe PA; Pascariello GO; Gómez JC;
    J Neurosci Methods; 2018 May; 302():24-34. PubMed ID: 29174020
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AD dementia risk in late MCI, in early MCI, and in subjective memory impairment.
    Jessen F; Wolfsgruber S; Wiese B; Bickel H; Mösch E; Kaduszkiewicz H; Pentzek M; Riedel-Heller SG; Luck T; Fuchs A; Weyerer S; Werle J; van den Bussche H; Scherer M; Maier W; Wagner M;
    Alzheimers Dement; 2014 Jan; 10(1):76-83. PubMed ID: 23375567
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Altered amplitude of low-frequency fluctuations in early and late mild cognitive impairment and Alzheimer's disease.
    Liang P; Xiang J; Liang H; Qi Z; Li K; Alzheimer's Disease NeuroImaging Initiative
    Curr Alzheimer Res; 2014 May; 11(4):389-98. PubMed ID: 24720892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The use of hippocampal grading as a biomarker for preclinical and prodromal Alzheimer's disease.
    Morrison C; Dadar M; Shafiee N; Collins DL;
    Hum Brain Mapp; 2023 Jun; 44(8):3147-3157. PubMed ID: 36939138
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The combination of apolipoprotein E4, age and Alzheimer's Disease Assessment Scale - Cognitive Subscale improves the prediction of amyloid positron emission tomography status in clinically diagnosed mild cognitive impairment.
    Ba M; Ng KP; Gao X; Kong M; Guan L; Yu L;
    Eur J Neurol; 2019 May; 26(5):733-e53. PubMed ID: 30561868
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.