Detecting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using FLAIR MRI Biomarkers

FLAIR MRI Biomarkers of the Normal Appearing Brain Matter are Related to Cognition

(2022) M-A. Bahsoun et al.   NeuroImage-Clinical

Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment

(2022) Rong Shi et al.   HUMAN BRAIN MAPPING

Explanation of machine learning models using shapley additive explanation and application for real data in hospital

(2021) Yasunobu Nohara et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia

(2021) Mahsa Dadar et al.   NEUROBIOLOGY OF AGING

Predicting Alzheimer's disease progression: Results from the TADPOLE Challenge

(2020) Razvan V. Marinescu et al.   Alzheimers & Dementia

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

(2019) Simeon Spasov et al.   NEUROIMAGE

Pathology-preserving intensity standardization framework for multi-institutional FLAIR MRI datasets

(2019) Brittany Reiche et al.   MAGNETIC RESONANCE IMAGING

3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI

(2019) Nguyen Thanh Duc et al.   NEUROINFORMATICS

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

(2019) Hongming Li et al.   Alzheimers & Dementia

The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study

(2019) Howard Chertkow et al.   CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES

The neuropathological diagnosis of Alzheimer’s disease

(2019) Michael A. DeTure et al.   Molecular Neurodegeneration

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

(2019) Taeho Jo et al.   Frontiers in Aging Neuroscience

White matter hyperintensities mediate gray matter volume and processing speed relationship in cognitively unimpaired participants

(2019) Anna Brugulat‐Serrat et al.   HUMAN BRAIN MAPPING

A multiomics approach to heterogeneity in Alzheimer’s disease: focused review and roadmap

(2019) AmanPreet Badhwar et al.   BRAIN

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

(2018) Kim-Han Thung et al.   MEDICAL IMAGE ANALYSIS

Heterogeneous patterns of brain atrophy in Alzheimer's disease

(2018) Konstantinos Poulakis et al.   NEUROBIOLOGY OF AGING

FDG-PET and CSF biomarker accuracy in prediction of conversion to different dementias in a large multicentre MCI cohort

(2018) Silvia Paola Caminiti et al.   NeuroImage-Clinical

National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA)

(2018) Zia Mohaddes et al.   Frontiers in Neuroinformatics

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease

(2017) Tong Tong et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

The Ontario Neurodegenerative Disease Research Initiative (ONDRI)

(2016) Sali M. K. Farhan et al.   CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES

Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers

(2016) Lele Xu et al.   JOURNAL OF ALZHEIMERS DISEASE

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

How Does the Accuracy of Intracranial Volume Measurements Affect Normalized Brain Volumes? Sample Size Estimates Based on 966 Subjects from the HUNT MRI Cohort

(2015) T.I. Hansen et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry

(2015) Jie Shi et al.   NEUROIMAGE

Anatomical heterogeneity of Alzheimer disease: Based on cortical thickness on MRIs

(2014) Y. Noh et al.   NEUROLOGY

Longitudinal white matter changes in frontotemporal dementia subtypes

(2013) Bonnie Y. K. Lam et al.   HUMAN BRAIN MAPPING

Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements

(2013) Richard Nordenskjöld et al.   NEUROIMAGE

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease

(2013) Christian Gaser et al.   PLoS One

Epidemiology of Alzheimer Disease

(2013) R. Mayeux et al.   Cold Spring Harbor Perspectives in Medicine

Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning

(2012) Simon F. Eskildsen et al.   NEUROIMAGE

Comparison of Brief Cognitive Tests and CSF Biomarkers in Predicting Alzheimer’s Disease in Mild Cognitive Impairment: Six-Year Follow-Up Study

(2012) Sebastian Palmqvist et al.   PLoS One

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data

(2011) Youngsang Cho et al.   NEUROIMAGE

Cerebrospinal fluid markers for differential dementia diagnosis in a large memory clinic cohort

(2011) N. S. M. Schoonenboom et al.   NEUROLOGY

Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease

(2011) Robin Wolz et al.   PLoS One

The clinical use of structural MRI in Alzheimer disease

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

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

(2010) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI

(2009) Marie Chupin et al.   HIPPOCAMPUS

Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

(2009) Clifford R Jack et al.   LANCET NEUROLOGY

MRI and CSF biomarkers in normal, MCI, and AD subjects: Diagnostic discrimination and cognitive correlations

(2009) P. Vemuri et al.   NEUROLOGY

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

(2009) P. Vemuri et al.   NEUROLOGY

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

(2008) Clifford R. Jack et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

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

Increasing CSF phospho-tau levels during cognitive decline and progression to dementia

(2007) Christin Andersson et al.   NEUROBIOLOGY OF AGING