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Deep learning enables robust quantification of cerebral blood flow using ASL in the presence of pathology: Application to treated gliomas

Enhanced motion artifact simulator for structural MRI with MP-RAGE sequence

Enhancing MRI Resolution with a Lightweight Network and Reverse Residual Attention Fusion

Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison

Fast Probabilistic Parameter Estimation for Quantitative MRI using Variational Autoencoders

Author:Fan Yang  Hui Zhang  Christopher Parker  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Quantification & Interpretation  

Program Number:2118  

Room Session:Exhibition Hall (Hall 403)  

Institution:University College London  

Non-central chi likelihood loss for quantitative MRI from parallel acquisitions with self-supervised deep learning

Author:Christopher Parker  Daniel Alexander  Hui Zhang  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Self-Supervised AI/ML Techniques  

Program Number:1766  

Room Session:Exhibition Hall (Hall 403)  

Institution:University College London  

A novel diffusion MRI acquisition scheme for optimal orientation sampling and susceptibility distortion correction at 7T

Author:Antoine Legouhy  Martina Callaghan  Hui Zhang  David Thomas  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Acquisition Strategies II  

Program Number:3234  

Room Session:Exhibition Hall (Hall 403)  

Institution:University College London  

Quality assessment of MR images: Does deep learning outperform machine learning with handcrafted features on new sites?

Quantification of left atrial fibrosis in cardiac MRI: a multi-method, multi-vendor comparison study

Radiomics Analysis Based on Preoperative Multiparametric MRI for Prediction of TACE Refractoriness in Hepatocellular Carcinoma

RAIDER: Rapid, anatomy-independent, deep learning-based chemical shift-encoded MRI