Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry

(2017) Tejas Sankar et al.   HUMAN BRAIN MAPPING

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework

(2017) Erdem Varol et al.   NEUROIMAGE

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

(2017) Meiyan Huang et al.   Scientific Reports

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest

(2016) Lei Huang et al.   NEUROBIOLOGY OF AGING

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification

(2016) Igor O. Korolev et al.   PLoS One

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

(2015) Elaheh Moradi et al.   NEUROIMAGE

Early intervention in Alzheimer’s disease: a health economic study of the effects of diagnostic timing

(2014) Jennifer H Barnett et al.   BMC Neurology

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

(2013) Clifford R Jack et al.   LANCET NEUROLOGY

Clinical, imaging, and pathological heterogeneity of the Alzheimer's disease syndrome

(2013) Benjamin Lam et al.   Alzheimers Research & Therapy

Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

(2012) Jieping Ye et al.   BMC Neurology

Cognitive reserve in ageing and Alzheimer's disease

(2012) Yaakov Stern   LANCET NEUROLOGY

The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease

(2011) Mert R. Sabuncu   ARCHIVES OF NEUROLOGY

Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study

(2011) Melissa E Murray et al.   LANCET NEUROLOGY

BEaST: Brain extraction based on nonlocal segmentation technique

(2011) Simon F. Eskildsen et al.   NEUROIMAGE

MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults

(2011) B. C. Dickerson et al.   NEUROLOGY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The clinical use of structural MRI in Alzheimer disease

(2010) Giovanni B. Frisoni et al.   Nature Reviews Neurology

Boosting power for clinical trials using classifiers based on multiple biomarkers

(2010) Omid Kohannim et al.   NEUROBIOLOGY OF AGING

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

(2010) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

(2010) Rémi Cuingnet et al.   NEUROIMAGE

Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve

(2009) Olivier Querbes, Florent Aubry, Jérémie Pariente, Jean-Albert Lotterie, Jean-François Démonet, Véronique Duret, Michèle Puel, Isabelle Berry, Jean-Claude Fort et al.   BRAIN

Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort

(2009) Shannon Risacher et al.   Current Alzheimer Research

Trajectories of cognitive decline in Alzheimer's disease

(2009) Patricia A. Wilkosz et al.   INTERNATIONAL PSYCHOGERIATRICS

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆

(2008) C MISRA et al.   NEUROIMAGE

Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls

(2006) Jason P. Lerch et al.   NEUROBIOLOGY OF AGING