169 related articles for article (PubMed ID: 36805635)
1. Multivariate functional mixed model with MRI data: An application to Alzheimer's disease.
Zou H; Xiao L; Zeng D; Luo S;
Stat Med; 2023 May; 42(10):1492-1511. PubMed ID: 36805635
[TBL] [Abstract][Full Text] [Related]
2. BAYESIAN INFERENCE AND DYNAMIC PREDICTION FOR MULTIVARIATE LONGITUDINAL AND SURVIVAL DATA.
Zou H; Zeng D; Xiao L; Luo S
Ann Appl Stat; 2023 Sep; 17(3):2574-2595. PubMed ID: 37719893
[TBL] [Abstract][Full Text] [Related]
3. Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease.
Zou H; Li K; Zeng D; Luo S;
Stat Med; 2021 Dec; 40(30):6855-6872. PubMed ID: 34649301
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predicting Alzheimer's conversion in mild cognitive impairment patients using longitudinal neuroimaging and clinical markers.
Platero C; Tobar MC;
Brain Imaging Behav; 2021 Aug; 15(4):1728-1738. PubMed ID: 33169305
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Structural, static, and dynamic functional MRI predictors for conversion from mild cognitive impairment to Alzheimer's disease: Inter-cohort validation of Shanghai Memory Study and ADNI.
Chen Z; Chen K; Li Y; Geng D; Li X; Liang X; Lu H; Ding S; Xiao Z; Ma X; Zheng L; Ding D; Zhao Q; Yang L;
Hum Brain Mapp; 2024 Jan; 45(1):e26529. PubMed ID: 37991144
[TBL] [Abstract][Full Text] [Related]
8. Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease.
Giorgio J; Landau SM; Jagust WJ; Tino P; Kourtzi Z;
Neuroimage Clin; 2020; 26():102199. PubMed ID: 32106025
[TBL] [Abstract][Full Text] [Related]
9. Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment.
Lombardi G; Crescioli G; Cavedo E; Lucenteforte E; Casazza G; Bellatorre AG; Lista C; Costantino G; Frisoni G; Virgili G; Filippini G
Cochrane Database Syst Rev; 2020 Mar; 3(3):CD009628. PubMed ID: 32119112
[TBL] [Abstract][Full Text] [Related]
10. Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.
Lin Y; Huang K; Xu H; Qiao Z; Cai S; Wang Y; Huang L;
Clin Neurophysiol; 2020 Oct; 131(10):2429-2439. PubMed ID: 32829290
[TBL] [Abstract][Full Text] [Related]
11. Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer's disease.
Li K; Luo S
Stat Methods Med Res; 2019 Feb; 28(2):327-342. PubMed ID: 28750578
[TBL] [Abstract][Full Text] [Related]
12. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
Moradi E; Pepe A; Gaser C; Huttunen H; Tohka J;
Neuroimage; 2015 Jan; 104():398-412. PubMed ID: 25312773
[TBL] [Abstract][Full Text] [Related]
13. Longitudinal Exposure-Response Modeling of Multiple Indicators of Alzheimer's Disease Progression.
Polhamus DG; Dolton MJ; Rogers JA; Honigberg L; Jin JY; Quartino A
J Prev Alzheimers Dis; 2023; 10(2):212-222. PubMed ID: 36946448
[TBL] [Abstract][Full Text] [Related]
14. A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease.
Mofrad SA; Lundervold A; Lundervold AS; ;
Comput Med Imaging Graph; 2021 Jun; 90():101910. PubMed ID: 33862355
[TBL] [Abstract][Full Text] [Related]
15. 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.
Weiner MW; Veitch DP; Aisen PS; Beckett LA; Cairns NJ; Cedarbaum J; Green RC; Harvey D; Jack CR; Jagust W; Luthman J; Morris JC; Petersen RC; Saykin AJ; Shaw L; Shen L; Schwarz A; Toga AW; Trojanowski JQ;
Alzheimers Dement; 2015 Jun; 11(6):e1-120. PubMed ID: 26073027
[TBL] [Abstract][Full Text] [Related]
16. Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction.
Jomeiri A; Navin AH; Shamsi M
Behav Brain Res; 2024 Apr; 463():114900. PubMed ID: 38341100
[TBL] [Abstract][Full Text] [Related]
17. Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer's disease in patients with mild cognitive symptoms.
Arvidsson I; Strandberg O; Palmqvist S; Stomrud E; Cullen N; Janelidze S; Tideman P; Heyden A; Åström K; Hansson O; Mattsson-Carlgren N
Alzheimers Res Ther; 2024 Mar; 16(1):61. PubMed ID: 38504336
[TBL] [Abstract][Full Text] [Related]
18. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes.
Wang Y; Xu C; Park JH; Lee S; Stern Y; Yoo S; Kim JH; Kim HS; Cha J;
Neuroimage Clin; 2019; 23():101859. PubMed ID: 31150957
[TBL] [Abstract][Full Text] [Related]
19. Longitudinal survival analysis and two-group comparison for predicting the progression of mild cognitive impairment to Alzheimer's disease.
Platero C; Tobar MC
J Neurosci Methods; 2020 Jul; 341():108698. PubMed ID: 32534272
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.
Mirabnahrazam G; Ma D; Lee S; Popuri K; Lee H; Cao J; Wang L; Galvin JE; Beg MF;
J Alzheimers Dis; 2022; 87(3):1345-1365. PubMed ID: 35466939
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
