Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers

Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI)

(2011) Roman Filipovych et al.   NEUROIMAGE

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

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

(2011) Daoqiang Zhang et al.   NEUROIMAGE

Touch Panel-type Dementia Assessment Scale: a new computer-based rating scale for Alzheimer's disease

(2011) Masashi INOUE et al.   Psychogeriatrics

Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease

(2010) K.B. Walhovd et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Learning a Propagable Graph for Semisupervised Learning: Classification and Regression

(2010) Bingbing Ni et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CSF Biomarkers in Prediction of Cerebral and Clinical Change in Mild Cognitive Impairment and Alzheimer's Disease

(2010) A. M. Fjell et al.   JOURNAL OF NEUROSCIENCE

Semi-supervised learning with varifold Laplacians

(2010) Lei Ding et al.   NEUROCOMPUTING

Predicting clinical scores from magnetic resonance scans in Alzheimer's disease

(2010) Cynthia M. Stonnington et al.   NEUROIMAGE

High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables

(2010) Ying Wang et al.   NEUROIMAGE

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

(2010) Chris Hinrichs et al.   NEUROIMAGE

Semi-supervised Learning

(2009) Niall Adams   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Relating one-year cognitive change in mild cognitive impairment to baseline MRI features

(2009) Simon Duchesne et al.   NEUROIMAGE

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

(2009) Chris Hinrichs et al.   NEUROIMAGE

MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change

(2009) P. Vemuri et al.   NEUROLOGY

Longitudinal Modeling of Age-Related Memory Decline and theAPOEε4 Effect

(2009) Richard J. Caselli et al.   NEW ENGLAND JOURNAL OF MEDICINE

Fibrillar amyloid-  burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease

(2009) E. M. Reiman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multi-modal imaging predicts memory performance in normal aging and cognitive decline

(2008) K.B. Walhovd et al.   NEUROBIOLOGY OF AGING

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

(2008) Yong Fan et al.   NEUROIMAGE

MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm

(2007) Zhe Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

(2007) Yong Fan et al.   NEUROIMAGE