Broad learning for early diagnosis of Alzheimer's disease using FDG-PET of the brain

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network

(2022) Ahila A et al.   Frontiers in Public Health

A new machine learning model based on the broad learning system and wavelets

(2022) Miguel Jara-Maldonado et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

BLCov: A novel collaborative-competitive broad learning system for COVID-19 detection from radiology images

(2022) Guangheng Wu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Data-driven FDG-PET subtypes of Alzheimer’s disease-related neurodegeneration

(2021) Fedor Levin et al.   Alzheimers Research & Therapy

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

(2021) Husnu Baris Baydargil et al.   Applied Sciences-Basel

Research Review for Broad Learning System: Algorithms, Theory, and Applications

(2021) Xinrong Gong et al.   IEEE Transactions on Cybernetics

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

(2020) Li Zhang et al.   Frontiers in Neuroscience

Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification

(2020) Jie Du et al.   IEEE Transactions on Cybernetics

18F-FDG-PET Detects Drastic Changes in Brain Metabolism in the Tg4–42 Model of Alzheimer’s Disease

(2019) Caroline Bouter et al.   Frontiers in Aging Neuroscience

A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging

(2019) Parisa Forouzannezhad et al.   JOURNAL OF NEUROSCIENCE METHODS

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

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-level Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease

(2018) Xiaoxi Pan et al.   IEEE Journal of Biomedical and Health Informatics

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images

(2018) Manhua Liu et al.   Frontiers in Neuroinformatics

Universal Approximation Capability of Broad Learning System and Its Structural Variations

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification

(2018) Shuang Feng et al.   IEEE Transactions on Cybernetics

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

18F-Florbetapir PET in Patients with Frontotemporal Dementia and Alzheimer Disease

(2015) C. Kobylecki et al.   JOURNAL OF NUCLEAR MEDICINE

Brain PET in the Diagnosis of Alzheimer’s Disease

(2014) Charles Marcus et al.   CLINICAL NUCLEAR MEDICINE

Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism

(2014) Richard K. J. Brown et al.   RADIOGRAPHICS

AD dementia risk in late MCI, in early MCI, and in subjective memory impairment

(2013) Frank Jessen et al.   Alzheimers & Dementia

Longitudinal imaging of Alzheimer pathology using [11C]PIB, [18F]FDDNP and [18F]FDG PET

(2012) Rik Ossenkoppele et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

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

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

Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias

(2008) L. Mosconi et al.   JOURNAL OF NUCLEAR MEDICINE