210 related articles for article (PubMed ID: 31768599)
41. Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images.
Dong Q; Zhang J; Li Q; Wang J; Leporé N; Thompson PM; Caselli RJ; Ye J; Wang Y;
J Alzheimers Dis; 2020; 75(3):971-992. PubMed ID: 32390615
[TBL] [Abstract][Full Text] [Related]
42. Deep Learning-Based Ensembling Technique to Classify Alzheimer's Disease Stages Using Functional MRI.
Tajammal T; Khurshid SK; Jaleel A; Qayyum Wahla S; Ziar RA
J Healthc Eng; 2023; 2023():6961346. PubMed ID: 37953911
[TBL] [Abstract][Full Text] [Related]
43. Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network.
A A; M P; Hamdi M; Bourouis S; Rastislav K; Mohmed F
Front Public Health; 2022; 10():834032. PubMed ID: 35198526
[TBL] [Abstract][Full Text] [Related]
44. Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.
Dai Y; Hsu YC; Fernandes BS; Zhang K; Li X; Enduru N; Liu A; Manuel AM; Jiang X; Zhao Z;
J Alzheimers Dis; 2024; 97(4):1807-1827. PubMed ID: 38306043
[TBL] [Abstract][Full Text] [Related]
45. A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia.
Tam A; Dansereau C; Iturria-Medina Y; Urchs S; Orban P; Sharmarke H; Breitner J; Bellec P;
Gigascience; 2019 May; 8(5):. PubMed ID: 31077314
[TBL] [Abstract][Full Text] [Related]
46. Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer's Disease Progression Using 18F-FDG PET.
Khatri U; Kwon GR
Bioengineering (Basel); 2023 Oct; 10(10):. PubMed ID: 37892955
[TBL] [Abstract][Full Text] [Related]
47. 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
Res Sq; 2023 Nov; ():. PubMed ID: 37986841
[TBL] [Abstract][Full Text] [Related]
48. Structural connectivity from DTI to predict mild cognitive impairment in de novo Parkinson's disease.
Huang X; He Q; Ruan X; Li Y; Kuang Z; Wang M; Guo R; Bu S; Wang Z; Yu S; Chen A; Wei X
Neuroimage Clin; 2024; 41():103548. PubMed ID: 38061176
[TBL] [Abstract][Full Text] [Related]
49. EAMNet: an Alzheimer's disease prediction model based on representation learning.
Duan H; Wang H; Chen Y; Liu F; Tao L
Phys Med Biol; 2023 Oct; 68(21):. PubMed ID: 37774713
[No Abstract] [Full Text] [Related]
50. Alzheimer's Together with Mild Cognitive Impairment Screening Using Polar Transformation of Middle Zone of Fundus Images Based Deep Learning.
Luengnaruemitchai G; Kaewmahanin W; Munthuli A; Phienphanich P; Puangarom S; Sangchocanonta S; Jariyakosol S; Hirunwiwatkul P; Tantibundhit C
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083188
[TBL] [Abstract][Full Text] [Related]
51. A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNI.
Zhao Y; Zhang J; Chen Y; Jiang J
Brain Sci; 2022 Aug; 12(8):. PubMed ID: 36009130
[TBL] [Abstract][Full Text] [Related]
52. Deep learning-based brain age prediction in normal aging and dementia.
Lee J; Burkett BJ; Min HK; Senjem ML; Lundt ES; Botha H; Graff-Radford J; Barnard LR; Gunter JL; Schwarz CG; Kantarci K; Knopman DS; Boeve BF; Lowe VJ; Petersen RC; Jack CR; Jones DT
Nat Aging; 2022 May; 2(5):412-424. PubMed ID: 37118071
[TBL] [Abstract][Full Text] [Related]
53. fNIRS-based graph frequency analysis to identify mild cognitive impairment in Parkinson's disease.
Shu Z; Wang J; Cheng Y; Lu J; Lin J; Wang Y; Zhang X; Yu Y; Zhu Z; Han J; Wu J; Yu N
J Neurosci Methods; 2024 Feb; 402():110031. PubMed ID: 38040127
[TBL] [Abstract][Full Text] [Related]
54. Multimodal deep learning for Alzheimer's disease dementia assessment.
Qiu S; Miller MI; Joshi PS; Lee JC; Xue C; Ni Y; Wang Y; De Anda-Duran I; Hwang PH; Cramer JA; Dwyer BC; Hao H; Kaku MC; Kedar S; Lee PH; Mian AZ; Murman DL; O'Shea S; Paul AB; Saint-Hilaire MH; Alton Sartor E; Saxena AR; Shih LC; Small JE; Smith MJ; Swaminathan A; Takahashi CE; Taraschenko O; You H; Yuan J; Zhou Y; Zhu S; Alosco ML; Mez J; Stein TD; Poston KL; Au R; Kolachalama VB
Nat Commun; 2022 Jun; 13(1):3404. PubMed ID: 35725739
[TBL] [Abstract][Full Text] [Related]
55. Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI.
García-Gutiérrez F; Hernández-Lorenzo L; Cabrera-Martín MN; Matias-Guiu JA; Ayala JL;
Neuroimage; 2024 Jun; ():120695. PubMed ID: 38942101
[TBL] [Abstract][Full Text] [Related]
56. Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[
Kim S; Lee P; Oh KT; Byun MS; Yi D; Lee JH; Kim YK; Ye BS; Yun MJ; Lee DY; Jeong Y; ;
EJNMMI Res; 2021 Jun; 11(1):56. PubMed ID: 34114091
[TBL] [Abstract][Full Text] [Related]
57. Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.
Yin C; Imms P; Cheng M; Amgalan A; Chowdhury NF; Massett RJ; Chaudhari NN; Chen X; Thompson PM; Bogdan P; Irimia A;
Proc Natl Acad Sci U S A; 2023 Jan; 120(2):e2214634120. PubMed ID: 36595679
[TBL] [Abstract][Full Text] [Related]
58. Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.
Jo T; Kim J; Bice P; Huynh K; Wang T; Arnold M; Meikle PJ; Giles C; Kaddurah-Daouk R; Saykin AJ; Nho K; ;
EBioMedicine; 2023 Nov; 97():104820. PubMed ID: 37806288
[TBL] [Abstract][Full Text] [Related]
59. Neural correlates and predictors of subjective cognitive decline in patients with Parkinson's disease.
Ophey A; Krohm F; Kalbe E; Greuel A; Drzezga A; Tittgemeyer M; Timmermann L; Jessen F; Eggers C; Maier F
Neurol Sci; 2022 May; 43(5):3153-3163. PubMed ID: 34820745
[TBL] [Abstract][Full Text] [Related]
60. Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data.
Gravina M; García-Pedrero A; Gonzalo-Martín C; Sansone C; Soda P
Artif Intell Med; 2024 Mar; 149():102774. PubMed ID: 38462278
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
