Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

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

(2021) Sadiq Alinsaif et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

(2021) Mehmet Baygin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning for chest X-ray analysis: A survey

(2021) Erdi Çallı et al.   MEDICAL IMAGE ANALYSIS

Integrating multi-domain deep features of electrocardiogram and phonocardiogram for coronary artery disease detection

(2021) Han Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods

(2021) Ali Narin   COMPUTERS IN BIOLOGY AND MEDICINE

Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images

(2021) Kai Hu et al.   NEUROCOMPUTING

Blob Detection and Deep Learning for Leukemic Blood Image Analysis

(2020) Cecilia Di Ruberto et al.   Applied Sciences-Basel

MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey

(2020) Nagaraj Yamanakkanavar et al.   SENSORS

Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer's Disease in Structural Magnetic Resonance Imaging (sMRI)

(2019) Bumshik LEE et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

(2019) Muazzam Maqsood et al.   SENSORS

Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis

(2019) Xusheng Fang et al.   IET Image Processing

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

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

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

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

(2019) Manhua Liu et al.   NEUROIMAGE

Deep Learning in Ultrasound Imaging

(2019) Ruud J. G. van Sloun et al.   PROCEEDINGS OF THE IEEE

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

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

(2018) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

(2018) Jun Shi et al.   IEEE Journal of Biomedical and Health Informatics

Non-white matter tissue extraction and deep convolutional neural network for Alzheimer’s disease detection

(2018) Tien-Duong Vu et al.   SOFT COMPUTING

An overview of deep learning in medical imaging focusing on MRI

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

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

Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

(2018) Silvia Basaia et al.   NeuroImage-Clinical

Hippocampus Analysis by Combination of 3-D DenseNet and Shapes for Alzheimer's Disease Diagnosis

(2018) Ruoxuan Cui et al.   IEEE Journal of Biomedical and Health Informatics

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

Validation of a Regression Technique for Segmentation of White Matter Hyperintensities in Alzheimer’s Disease

(2017) Mahsa Dadar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dementia prevention, intervention, and care

(2017) Gill Livingston et al.   LANCET

Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers

(2017) Giovanni B Frisoni et al.   LANCET NEUROLOGY

Relational-Regularized Discriminative Sparse Learning for Alzheimer’s Disease Diagnosis

(2017) Baiying Lei et al.   IEEE Transactions on Cybernetics

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

(2016) Andrés Ortiz et al.   International Journal of Neural Systems

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

(2014) Heung-Il Suk et al.   NEUROIMAGE

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease

(2013) Andrés Ortiz et al.   PATTERN RECOGNITION LETTERS

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease

(2011) P. Padilla et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The use of PET in Alzheimer disease

(2010) Agneta Nordberg et al.   Nature Reviews Neurology