135 related articles for article (PubMed ID: 31354405)
1. Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression.
Yan J; Deng C; Luo L; Wang X; Yao X; Shen L; Huang H
Front Neurosci; 2019; 13():668. PubMed ID: 31354405
[TBL] [Abstract][Full Text] [Related]
2. Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
Xu J; Deng C; Gao X; Shen D; Huang H
IJCAI (U S); 2017 Aug; 2017():3880-3886. PubMed ID: 29681724
[TBL] [Abstract][Full Text] [Related]
3. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Cao P; Liu X; Liu H; Yang J; Zhao D; Huang M; Zaiane O
Comput Methods Programs Biomed; 2018 Aug; 162():19-45. PubMed ID: 29903486
[TBL] [Abstract][Full Text] [Related]
4. Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.
Liu X; Cao P; Wang J; Kong J; Zhao D
Neuroinformatics; 2019 Apr; 17(2):271-294. PubMed ID: 30284672
[TBL] [Abstract][Full Text] [Related]
5. Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction.
Chen Z; Liu Y; Zhang Y; Jin R; Tao J; Chen L
Comput Biol Med; 2022 Aug; 147():105705. PubMed ID: 35717935
[TBL] [Abstract][Full Text] [Related]
6. Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions.
Lu L; Elbeleidy S; Baker L; Wang H; Shen L; Heng H
IEEE Trans Biomed Eng; 2021 Nov; 68(11):3336-3346. PubMed ID: 33819146
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning.
Liang W; Zhang K; Cao P; Liu X; Yang J; Zaiane OR
Comput Biol Med; 2023 Jan; 152():106367. PubMed ID: 36516575
[TBL] [Abstract][Full Text] [Related]
9. Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
Yan J; Huang H; Risacher SL; Kim S; Inlow M; Moore JH; Saykin AJ; Shen L
Multimodal Brain Image Anal (2013); 2013; 8159():202-210. PubMed ID: 25927078
[TBL] [Abstract][Full Text] [Related]
10. A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.
Zhu X; Suk HI; Shen D
Neuroimage; 2014 Oct; 100():91-105. PubMed ID: 24911377
[TBL] [Abstract][Full Text] [Related]
11. Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.
Chen Z; Liu Y; Zhang Y; Li Q;
Med Image Anal; 2023 Feb; 84():102698. PubMed ID: 36462372
[TBL] [Abstract][Full Text] [Related]
12. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.
Ye T; Zu C; Jie B; Shen D; Zhang D;
Brain Imaging Behav; 2016 Sep; 10(3):739-49. PubMed ID: 26311394
[TBL] [Abstract][Full Text] [Related]
13. Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
Zhu X; Suk HI; Shen D
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit; 2014 Jun; 2014():3089-3096. PubMed ID: 26379415
[TBL] [Abstract][Full Text] [Related]
14. Structural brain network constrained neuroimaging marker identification for predicting cognitive functions.
De W; Nie F; Huang H; Yan J; Risacher SL; Saykin AJ; Shen L
Inf Process Med Imaging; 2013; 23():536-47. PubMed ID: 24683997
[TBL] [Abstract][Full Text] [Related]
15. A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Zhu X; Suk HI; Wang L; Lee SW; Shen D;
Med Image Anal; 2017 May; 38():205-214. PubMed ID: 26674971
[TBL] [Abstract][Full Text] [Related]
16. Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data.
Yang M; Elazab A; Yang P; Xia Z; Wang T; Lei B
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():281-284. PubMed ID: 31945896
[TBL] [Abstract][Full Text] [Related]
17. Alzheimer's disease diagnosis framework from incomplete multimodal data using convolutional neural networks.
Abdelaziz M; Wang T; Elazab A
J Biomed Inform; 2021 Sep; 121():103863. PubMed ID: 34229061
[TBL] [Abstract][Full Text] [Related]
18. Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
Liu X; Cao P; Yang J; Zhao D
Comput Math Methods Med; 2018; 2018():7429782. PubMed ID: 29623103
[TBL] [Abstract][Full Text] [Related]
19. Early detection of Alzheimer's disease using single nucleotide polymorphisms analysis based on gradient boosting tree.
Ahmed H; Soliman H; Elmogy M
Comput Biol Med; 2022 Jul; 146():105622. PubMed ID: 35751201
[TBL] [Abstract][Full Text] [Related]
20. The structural MRI markers and cognitive decline in prodromal Alzheimer's disease: a 2-year longitudinal study.
Wei H; Kong M; Zhang C; Guan L; Ba M;
Quant Imaging Med Surg; 2018 Nov; 8(10):1004-1019. PubMed ID: 30598878
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]