Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

10.1016/j.neuroimage.2011.09.069 ◽

2012 ◽

Vol 59 (2) ◽

pp. 895-907 ◽

Author(s):

Daoqiang Zhang ◽

Dinggang Shen

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Multiple Regression ◽

Task Learning ◽

Joint Prediction

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Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895–907]

10.1016/j.neuroimage.2012.03.006 ◽

2012 ◽

Vol 62 (3) ◽

pp. 2179 ◽

Author(s):

Daoqiang Zhang ◽

Dinggang Shen

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Multiple Regression ◽

Task Learning ◽

Joint Prediction

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Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer’s Disease

Multimodal Brain Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24446-9_8 ◽

2011 ◽

pp. 60-67 ◽

Author(s):

Daoqiang Zhang ◽

Dinggang Shen

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Task Learning ◽

Clinical Scores ◽

Joint Prediction

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Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer’s Disease

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_23 ◽

2017 ◽

pp. 195-202 ◽

Author(s):

Peng Cao ◽

Xiaoli Liu ◽

Jinzhu Yang ◽

Dazhe Zhao ◽

Osmar Zaiane

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Biomarker Identification ◽

Task Learning ◽

Clinical Scores ◽

Joint Prediction

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New Multi-task Learning Model to Predict Alzheimer’s Disease Cognitive Assessment

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46720-7_37 ◽

2016 ◽

pp. 317-325 ◽

Author(s):

Zhouyuan Huo ◽

Dinggang Shen ◽

Heng Huang

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Assessment ◽

Learning Model ◽

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Dual feature correlation guided multi-task learning for Alzheimer's disease prediction

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.105090 ◽

2021 ◽

pp. 105090

Author(s):

Shanshan Tang ◽

Peng Cao ◽

Min Hang ◽

Xiaoli Liu ◽

Osmar Zaiane

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Prediction ◽

Task Learning ◽

Feature Correlation

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Tensor Multi-Task Learning for Predicting Alzheimer’s Disease Progression using MRI data with Spatio-temporal Similarity Measurement

10.1109/indin45523.2021.9557584 ◽

2021 ◽

Author(s):

Yu Zhang ◽

Po Yang ◽

Vitaveska Lanfranchi

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Progression ◽

Similarity Measurement ◽

Task Learning ◽

Spatio Temporal

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Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.104935 ◽

2021 ◽

Vol 138 ◽

pp. 104935

Author(s):

Wei Liang ◽

Kai Zhang ◽

Peng Cao ◽

Xiaoli Liu ◽

Jinzhu Yang ◽

...

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Progression ◽

Recurrent Neural Network ◽

Task Learning ◽

Deep Recurrent Neural Network

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Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer’s disease

Pattern Recognition ◽

10.1016/j.patcog.2017.07.018 ◽

2017 ◽

Vol 72 ◽

pp. 219-235 ◽

Author(s):

Peng Cao ◽

Xuanfeng Shan ◽

Dazhe Zhao ◽

Min Huang ◽

Osmar Zaiane

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Performance ◽

Performance Prediction ◽

Task Learning ◽

Shared Structure

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Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

Brain Structure and Function ◽

10.1007/s00429-015-1059-y ◽

2015 ◽

Vol 221 (5) ◽

pp. 2569-2587 ◽

Author(s):

Heung-Il Suk ◽

◽

Seong-Whan Lee ◽

Dinggang Shen

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Feature Selection ◽

Disease Diagnosis ◽

Task Learning ◽

Alzheimer’S Disease Diagnosis

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Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data

Proceedings of the 2018 SIAM International Conference on Data Mining ◽

10.1137/1.9781611975321.33 ◽

2018 ◽

pp. 288-296 ◽

Author(s):

Yan Li ◽

Tao Yang ◽

Jiayu Zhou ◽

Jieping Ye

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Survival Analysis ◽

Missing Data ◽

Disease Progression ◽

Task Learning ◽

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