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Coupled Metabolic and Functional Changes in Default Mode Network Subsystems of Alzheimer's Disease: A Hybrid 3D 1H-MRSI/FDG-PET/fMRI Study

Evaluation of diagnostic and prognostic value of high-resolution 3D 1H-MRSI for patients with newly diagnosed glioma

Fast High-Resolution 3D MRSI and T2Mapping for Clinical Outcome Prediction of Ischemic Stroke Patients

Improved Myelin Water Fraction Estimation Integrating Learned Probabilistic Subspaces and Low-Dimensional Manifolds

Integrating Subspace Learning, Manifold Learning, and Sparsity Learning to Reconstruct Image Sequences

Joint Sensitivity Estimation and Image Reconstruction in Parallel Imaging Using Pre-learned Subspaces of Coil Sensitivity Functions

Learned Subspace Model Enables Ultrafast Neonatal Brain MR Imaging

Reconstructing T2 Maps of the Brain from Highly Sparse k-Space Data with Generalized Series-Assisted Deep Learning

Simultaneous Mapping of Water Diffusion Coefficients and Metabolite Distributions of the Brain Using MRSI without Water Suppression

Study of Neurometabolic Signature in Alzheimer’s Disease using High-Resolution 3D 1H-MRSI

Towards Multiple-Modal Imaging of Major Depressive Disorder: Integrating Structural, Functional & Metabolic Brain Mapping

Author:Yao Li  

Session Type:Weekend Course  

Session Date:Sunday, 08 May 2022  

Topic:

Session Name:Imaging Brain Injury, Pain & Recovery  

Program Number:

Room Session:S11 (Breakout A)  

Institution:Shanghai Jiao Tong University