3D Shearlet-Based Descriptors Combined with Deep Features for the Classification of Alzheimer’s Disease Based on MRI Data

Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning

(2020) Dan Pan et al.   Frontiers in Neuroscience

A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection

(2020) Venkatesan Rajinikanth et al.   Applied Sciences-Basel

Multi-View Based Multi-Model Learning for MCI Diagnosis

(2020) Ping Cao et al.   Brain Sciences

Identification of Alzheimer's Disease Based on Wavelet Transformation Energy Feature of the Structural MRI Image and NN Classifier

(2020) Jinwang Feng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Texture features in the Shearlet domain for histopathological image classification

(2020) Sadiq Alinsaif et al.   BMC Medical Informatics and Decision Making

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

(2019) Rachna Jain et al.   Cognitive Systems Research

Texture descriptors and voxels for the early diagnosis of Alzheimer’s disease

(2019) Loris Nanni et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

(2019) U. Rajendra Acharya et al.   JOURNAL OF MEDICAL SYSTEMS

Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders

(2019) Ricardo Mendoza-Léon et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer disease earlier than hippocampal volume

(2019) Subin Lee et al.   JOURNAL OF PSYCHIATRY & NEUROSCIENCE

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

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Multi-class Alzheimer's disease classification using image and clinical features

(2018) Tooba Altaf et al.   Biomedical Signal Processing and Control

Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

(2018) Shui-Hua Wang et al.   JOURNAL OF MEDICAL SYSTEMS

MRI Characterizes the Progressive Course of AD and Predicts Conversion to Alzheimer’s Dementia 24 Months Before Probable Diagnosis

(2018) Christian Salvatore et al.   Frontiers in Aging Neuroscience

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

(2017) Debesh Jha et al.   Journal of Healthcare Engineering

The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease

(2016) Jeff Sevigny et al.   NATURE

Multi-class texture analysis in colorectal cancer histology

(2016) Jakob Nikolas Kather et al.   Scientific Reports

Texture Classification and Retrieval Using Shearlets and Linear Regression

(2015) Yongsheng Dong et al.   IEEE Transactions on Cybernetics

Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach

(2015) Christian Salvatore et al.   Frontiers in Neuroscience

Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image

(2013) Shichong Zhou et al.   Biomedical Signal Processing and Control

Rotation Invariant Texture Descriptor Using Local Shearlet-Based Energy Histograms

(2013) Jiangping He et al.   IEEE SIGNAL PROCESSING LETTERS

The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease

(2011) Marilyn S. Albert et al.   Alzheimers & Dementia

The Parkinson Progression Marker Initiative (PPMI)

(2011) Kenneth Marek et al.   PROGRESS IN NEUROBIOLOGY