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An Alzheimer's Disease Progression Score Using Supervised Variational Autoencoders on MRI Anatomic Imaging Data

Deep learning-based estimation of future brain atrophy using baseline MRI and PET

Author:Linh Le  Evan Fletcher  Jinyi Qi  Audrey Fan  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI Applications in Neurology  

Program Number:4709  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of California, Davis  

Diagnosis of Early Mild Cognitive Impairment in Type 2 Diabetes Mellitus by Deep Learning of Multimodal Neuroimages and Metadata

Estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer’s disease

Graph Neural Networks Elucidating Mesial Temporal Lobe Epilepsy Through Simultaneously Acquired PET and DTI Data -A Pilot Study

A Large-Scale Analysis of the Impact of Physical Exercise, BMI, and Lifestyle on Brain Age Predicted from T1-weighted MRI Scans

Macromolecules from short echo time 7 Tesla brain 1HMRS as biomarkers of the Alzheimer’s disease continuum

Prediction of Lifetime Acute Ischemic Stroke Risk using Multimodal Models and SHAP-based Interpretability Methods

Author:Wenyue Mao  Yuxiang Dai  Zhang Shi  Rencheng Zheng  Yinghua Chu  Chengyan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI Applications in Neurology  

Program Number:4713  

Room Session:Exhibition Hall (Hall 403)  

Institution:Fudan University  Simens Healthineers Ltd.  

Prediction of myelin stainings using 7T MRI and deep learning

Prediction patients with alcohol dependence via graph classification on Brain Network Derived from Functional Magnetic Resonance Imaging

Radiomics for Deep Brain Stimulation outcome prediction using Quantitative Susceptibility Mapping (RadDBS-QSM)

Segmentation of Multiple Sclerosis lesions using 7T multi-contrast MRI data