Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches

Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions

(2021) Ahsan Bin Tufail et al.   Computational and Mathematical Methods in Medicine

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection

(2019) Tae-Eui Kam et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2018) Hongyoon Choi et al.   BEHAVIOURAL BRAIN RESEARCH

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

(2018) Ehsan Adeli et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis

(2018) Manhua Liu et al.   NEUROINFORMATICS

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

(2018) Donghuan Lu et al.   Scientific Reports

Imaging the evolution and pathophysiology of Alzheimer disease

(2018) William Jagust   NATURE REVIEWS NEUROSCIENCE

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

(2018) Jorge Samper-González et al.   NEUROIMAGE

Racial and ethnic estimates of Alzheimer's disease and related dementias in the United States (2015–2060) in adults aged ≥65 years

(2018) Kevin A. Matthews et al.   Alzheimers & Dementia

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model

(2017) Ke Liu et al.   Frontiers in Human Neuroscience

Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM

(2017) Seyed Hani Hojjati et al.   JOURNAL OF NEUROSCIENCE METHODS

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

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

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

(2017) Meiyan Huang et al.   Scientific Reports

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

(2016) Bo Cheng et al.   NEUROINFORMATICS

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

Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex

(2015) Olfa Ben Ahmed et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease

(2015) Siqi Liu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

(2015) Elaheh Moradi et al.   NEUROIMAGE

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

(2013) Heung-Il Suk et al.   Brain Structure & Function

Invariant Scattering Convolution Networks

(2013) Joan Bruna et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification

(2013) Xin Liu et al.   NEUROIMAGE

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

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

(2012) H. Wang et al.   BIOINFORMATICS

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

(2012) Jieping Ye et al.   BMC Neurology

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort

(2011) Hua Wang et al.   BIOINFORMATICS

Nonlinear dimensionality reduction combining MR imaging with non-imaging information

(2011) Robin Wolz et al.   MEDICAL IMAGE ANALYSIS

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

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

(2011) Robin Wolz et al.   PLoS One

Longitudinal MRI atrophy biomarkers: Relationship to conversion in the ADNI cohort

(2010) Shannon L. Risacher 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

MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers

(2009) N. Schuff et al.   BRAIN