Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease
暂无分享,去创建一个
Paul M. Thompson | Qingyang Li | Jieping Ye | Yalin Wang | Qunxi Dong | Jie Zhang | Richard J. Caselli | Yalin Wang | Jieping Ye | P. Thompson | R. Caselli | Jie Zhang | Qingyang Li | Qunxi Dong | P. Thompson | P. Thompson | P. Thompson
[1] Joseph F. Murray,et al. Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation , 2010, Neural Computation.
[2] Adrian A Canutescu,et al. Cyclic coordinate descent: A robotics algorithm for protein loop closure , 2003, Protein science : a publication of the Protein Society.
[3] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[4] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[5] R. Buckner. Memory and Executive Function in Aging and AD Multiple Factors that Cause Decline and Reserve Factors that Compensate , 2004, Neuron.
[6] Kenji Suzuki,et al. Overview of deep learning in medical imaging , 2017, Radiological Physics and Technology.
[7] Paul M. Thompson,et al. Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry , 2015, NeuroImage.
[8] Moo K. Chung,et al. Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation , 2008, IEEE Transactions on Medical Imaging.
[9] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[10] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[11] J. Molinuevo,et al. White matter microstructure is altered in cognitively normal middle-aged APOE-ε4 homozygotes , 2018, Alzheimer's Research & Therapy.
[12] Patrick L. Combettes,et al. Signal Recovery by Proximal Forward-Backward Splitting , 2005, Multiscale Model. Simul..
[13] Nick C Fox,et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.
[14] Paul M. Thompson,et al. Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects , 2019, NeuroImage: Clinical.
[15] Daoqiang Zhang,et al. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease , 2012, NeuroImage.
[16] Jiayu Zhou,et al. Modeling disease progression via multi-task learning , 2013, NeuroImage.
[17] K. Davis,et al. A new rating scale for Alzheimer's disease. , 1984, The American journal of psychiatry.
[18] Kathryn Ziegler-Graham,et al. Forecasting the global burden of Alzheimer’s disease , 2007, Alzheimer's & Dementia.
[19] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[20] Daniel S. Kermany,et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning , 2018, Cell.
[21] Paul M. Thompson,et al. Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment , 2016, MICCAI.
[22] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[23] Jie Zhang,et al. Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[24] Qingyang Li,et al. Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation , 2014, ArXiv.
[25] Paul M. Thompson,et al. Mapping hippocampal and ventricular change in Alzheimer disease , 2004, NeuroImage.
[26] Tong Zhang,et al. Solving large scale linear prediction problems using stochastic gradient descent algorithms , 2004, ICML.
[27] Jieping Ye,et al. Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis , 2015, IEEE Transactions on Big Data.
[28] Mark E. Schmidt,et al. The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception , 2012, Alzheimer's & Dementia.
[29] D. Louis Collins,et al. Relating one-year cognitive change in mild cognitive impairment to baseline MRI features , 2009, NeuroImage.
[30] Stephen M. Smith,et al. A Bayesian model of shape and appearance for subcortical brain segmentation , 2011, NeuroImage.
[31] Paul M. Thompson,et al. Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms , 2009, MICCAI.
[32] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[33] Moo K. Chung,et al. Unified Statistical Approach to Cortical Thickness Analysis , 2005, IPMI.
[34] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[36] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[37] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[38] Gang Wang,et al. A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis , 2018, MICCAI.
[39] Jian Zhang. Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification , 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.
[40] Nick C Fox,et al. The clinical use of structural MRI in Alzheimer disease , 2010, Nature Reviews Neurology.
[41] Paul M. Thompson,et al. Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[42] Alan C. Evans,et al. Early brain development in infants at high risk for autism spectrum disorder , 2017, Nature.
[43] Yang Song,et al. Surface-based Tbm Boosts Power to Detect Disease Effects on the Brain: an N = 804 Adni Study ☆ and the Alzheimer's Disease Neuroimaging Initiative , 2022 .
[44] Xiao Han,et al. A Topology Preserving Level Set Method for Geometric Deformable Models , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[45] J. Molinuevo,et al. Effects of APOE-ε4 allele load on brain morphology in a cohort of middle-aged healthy individuals with enriched genetic risk for Alzheimer's disease , 2018, Alzheimer's & Dementia.