Area of research
Cognitive Neuroscience · Psychiatry and Mental health
Research interest
Research interests include Computer science, Artificial intelligence, Neuroimaging, Psychology, Medicine, and Support vector machine.
A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer’s disease
A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer’s Disease
A study of the longitudinal changes in multiple cerebrospinal fluid and volumetric magnetic resonance imaging biomarkers on converter and non‐converter Alzheimer's disease subjects with consideration for their amyloid beta status
PET Imaging of Tau Pathology and Amyloid-β, and MRI for Alzheimer’s Disease Feature Fusion and Multimodal Classification
Gaussian discriminative component analysis for early detection of Alzheimer’s disease: A supervised dimensionality reduction algorithm
A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study
A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging
A cognitive stress test for prodromal Alzheimer's disease: Multiethnic generalizability
Longitudinal Prediction Modeling of Alzheimer Disease using Recurrent Neural Networks
A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer’s disease
Gaussian Discriminant Analysis for Optimal Delineation of Mild Cognitive Impairment in Alzheimer’s Disease
The Relationship of Brain Amyloid Load and APOE Status to Regional Cortical Thinning and Cognition in the ADNI Cohort
A Novel Gaussian Discriminant Analysis-based Computer Aided Diagnosis System for Screening Different Stages of Alzheimer's Disease
A practical guideline for intracranial volume estimation in patients with Alzheimer's disease