Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments

(2019) Juri Yanase et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Combined Use of MRI, fMRIand Cognitive Data for Alzheimer’s Disease: Preliminary Results

(2019) Chiara Dachena et al.   Applied Sciences-Basel

MedGAN: Medical image translation using GANs

(2019) Karim Armanious et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

(2019) Farheen Ramzan et al.   JOURNAL OF MEDICAL SYSTEMS

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

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

(2018) Manhua Liu et al.   NEUROINFORMATICS

SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation

(2018) Yuan Xue et al.   NEUROINFORMATICS

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

(2018) Jorge Samper-González et al.   NEUROIMAGE

Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer’s Disease in the Aging Brain

(2018) Brandalyn C. Riedel et al.   Frontiers in Aging Neuroscience

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Automated Diabetic Retinopathy Image Assessment Software

(2017) Adnan Tufail et al.   OPHTHALMOLOGY

A survey of network anomaly detection techniques

(2016) Mohiuddin Ahmed et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis

(2016) Kun Hu et al.   NEUROCOMPUTING

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

Adult hippocampal neurogenesis and its role in Alzheimer's disease

(2011) Yangling Mu et al.   Molecular Neurodegeneration

Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI)

(2011) Roman Filipovych et al.   NEUROIMAGE

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

(2010) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Multimodal techniques for diagnosis and prognosis of Alzheimer's disease

(2009) Richard J. Perrin et al.   NATURE

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

(2008) Yong Fan et al.   NEUROIMAGE