A parallel attention‐augmented bilinear network for early magnetic resonance imaging‐based diagnosis of Alzheimer's disease

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

(2019) Simeon Spasov et al.   NEUROIMAGE

Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification

(2019) Renping Yu et al.   PATTERN RECOGNITION

Deep Learning in Neuroradiology

(2018) G. Zaharchuk et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition

(2018) Tsung-Yu Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Landmark-based deep multi-instance learning for brain disease diagnosis

(2018) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neurodegenerative Diseases

(2018) Yingying Zhu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Synaptic Loss in the Inferior Temporal Gyrus in Mild Cognitive Impairment and Alzheimer's Disease

(2018) Stephen W. Scheff et al.   JOURNAL OF ALZHEIMERS DISEASE

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

(2018) Weiming Lin et al.   Frontiers in Neuroscience

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

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification

(2018) Yang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

(2018) Jialin Peng et al.   PATTERN RECOGNITION

Strength and similarity guided group-level brain functional network construction for MCI diagnosis

(2018) Yu Zhang et al.   PATTERN RECOGNITION

Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer’s Disease Neuroimaging Initiative’s Clinical Scores

(2018) Peiyao Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Dementia prevention, intervention, and care

(2017) Gill Livingston et al.   LANCET

View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data

(2017) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

Deep ensemble learning of sparse regression models for brain disease diagnosis

(2017) Heung-Il Suk et al.   MEDICAL IMAGE ANALYSIS

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

(2017) Saima Rathore 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

Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis

(2016) Jun Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

(2016) Mingxia Liu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

(2015) Yoshua Bengio et al.   NEURAL NETWORKS

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

(2015) Elaheh Moradi et al.   NEUROIMAGE

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

(2015) Esther E. Bron et al.   NEUROIMAGE

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

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

Unawareness of deficits in Alzheimer’s disease: role of the cingulate cortex

(2011) Martina Amanzio et al.   BRAIN

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

Neuroimaging markers for the prediction and early diagnosis of Alzheimer's disease dementia

(2011) Michael Ewers et al.   TRENDS IN NEUROSCIENCES

Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease

(2010) C. R. Jack et al.   BRAIN

Early identification and treatment of Alzheimer's disease: Social and fiscal outcomes

(2009) David L. Weimer et al.   Alzheimers & Dementia

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

(2009) P. Vemuri et al.   NEUROLOGY

Longitudinal pattern of regional brain volume change differentiates normal aging from MCI

(2009) I. Driscoll et al.   NEUROLOGY

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

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