Blinded Clinical Evaluation for Dementia of Alzheimer’s Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases

(2020) Karteek Popuri et al.   HUMAN BRAIN MAPPING

Utility of FDG-PET in diagnosis of Alzheimer-related TDP-43 proteinopathy

(2020) Marina Buciuc et al.   NEUROLOGY

Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer’s disease

(2020) Scott Nugent et al.   Scientific Reports

Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

(2020) Da Ma et al.   Frontiers in Neuroscience

Construction of MRI-Based Alzheimer’s Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset

(2020) Evangeline Yee et al.   JOURNAL OF ALZHEIMERS DISEASE

Quantifying brain metabolism from FDG‐PET images into a probability of Alzheimer's dementia score

(2019) Evangeline Yee et al.   HUMAN BRAIN MAPPING

Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging

(2018) Hongyoon Choi et al.   BEHAVIOURAL BRAIN RESEARCH

18F-FDG PET for Prediction of Conversion to Alzheimer’s Disease Dementia in People with Mild Cognitive Impairment: An Updated Systematic Review of Test Accuracy

(2018) Nadja Smailagic et al.   JOURNAL OF ALZHEIMERS DISEASE

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease

(2018) Donghuan Lu et al.   MEDICAL IMAGE ANALYSIS

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

(2018) Karteek Popuri et al.   NeuroImage-Clinical

Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database

(2018) Da Ma et al.   HUMAN BRAIN MAPPING

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Reference tissue normalization in longitudinal 18F-florbetapir positron emission tomography of late mild cognitive impairment

(2016) Sepideh Shokouhi et al.   Alzheimers Research & Therapy

Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease

(2015) Tingting Ye et al.   Brain Imaging and Behavior

Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria

(2014) Bruno Dubois et al.   LANCET NEUROLOGY

Functional Brain Connectivity Using fMRI in Aging and Alzheimer’s Disease

(2014) Emily L. Dennis et al.   NEUROPSYCHOLOGY REVIEW

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

(2013) Clifford R Jack et al.   LANCET NEUROLOGY

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification

(2013) Feng Liu et al.   NEUROIMAGE

The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core

(2010) William J. Jagust et al.   Alzheimers & Dementia

Performance of FDG PET for Detection of Alzheimer’s Disease in Two Independent Multicentre Samples (NEST-DD and ADNI)

(2009) C. Haense et al.   DEMENTIA AND GERIATRIC COGNITIVE DISORDERS

Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI)

(2009) Jessica B.S. Langbaum et al.   NEUROIMAGE

Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

(2009) R. C. Petersen et al.   NEUROLOGY

Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection

(2008) Theodoros Damoulas et al.   BIOINFORMATICS