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Accuracy of left ventricular function measurements using retro-gated real-time cine bSSFP cardiovascular magnetic resonance

Automated cardiac bi-ventricular segmentation and motion analysis in a monocrotaline rat model of pulmonary hypertension

CNN-based Off-resonance Correction in Cardiac Spiral MRI

Comparison of high-resolution quantitative peripheral nerve imaging in CMT1A and healthy controls using Double-Echo in Steady-State at 7 Tesla

Deep Learning for CMR Reconstruction and Super-Resolution

Author:Guang Yang  

Session Type:Weekend Course  

Session Date:Sunday, 08 May 2022  

Topic:

Session Name:Cardiovascular Anatomy & Function with CMR  

Program Number:

Room Session:ICC Capital Suite 8-9  

Institution:Imperial College London  

Deep Learning-enabled Prostate Segmentation: Large Cohort Evaluation with Inter-Reader Variability Analysis

Evaluating the impact of respiratory binning strategies on 4D-MRI reconstruction for an MR-Linac

A group-wise cardiac motion estimation network leveraging temporal correlation

A group-wise cardiac motion estimation network leveraging temporal correlation

Hybrid image and k-space deep learning reconstruction exploiting spatio-temporal redundancies for 2D cardiac CINE

Impact of Diffusion Signal Harmonisation on Voxel-Wise Analysis ofMild Traumatic Brain Injury

Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN)

Minimum number of scans for magic angle directional imaging based on a priori anatomical information

Author:Harry Lanz  Karyn Chappell  Mihailo Ristic  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 12: MSK I  

Session Name:Quantitative & Technical Innovations for MSK  

Program Number:1687  

Room Session:Exhibition Hall:S8 & S9  

Institution:Imperial College London  

Sensitivity of dMRI with TBSS analysis to WM pathology in SLE: influence of field strength, acquisition approach and post-processing strategy

Sensitivity of dMRI with TBSS analysis to WM pathology in SLE: influence of field strength, acquisition approach and post-processing strategy

Uncertainty estimation via ensembling for deep learning-based MR image reconstruction

Understanding domain shift in learned MRI reconstruction: A quantitative analysis on fastMRI knee and neuro sequences