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Accelerating Longitudinal Dynamic MRI by Exploiting Multi-Session Temporal Correlations

Author:Jingjia Chen  Daniel Sodickson  Li Feng  

Session Type:Power Pitch  

Session Date:Wednesday, 08 May 2024  

Session Name:Pitch: Image Reconstruction  

Program Number:1069  

Room Session:Power Pitch Theatre 1  

Institution:New York University Grossman School of Medicine  

fastMRI Prostate: A Public, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

Free-breathing simultaneous quantification of fat fraction, R2, and T1 at 0.55T: Validation in a clinical cohort

Image processing techniques used in satellite imaging can improve change detection on longitudinal MRI scans

Learning to synthesize MR contrasts using a self-supervised constrained contrastive learning approach

Author:Lavanya Umapathy  Li Feng  Daniel Sodickson  

Session Type:Oral  

Session Date:Thursday, 09 May 2024  

Session Name:Translation of AI into the Clinic  

Program Number:1402  

Room Session:Summit 2  

Institution:New York University Grossman School of Medicine  

Motion-Robust Multiparametric MRI of the Liver at 3T: Simultaneous Estimation of Water-Specific T1, PDFF, Motion-Resolved R2*, and QSM

Open-Source Simulator for Spatial Encoding Effects in Highly Variable B0 and Gradient Fields

Quantitative MRI with Automated Histogram Analysis Based on Self-Supervised Learning of Organ Segmentation: Demonstration for Liver T1 Mapping

Self-supervised representational learning for automated risk assessment in longitudinal imaging

SNAC-DL: Self-Supervised Network for Adaptive Convolutional Dictionary Learning of MRI Denoising

T1 Contrast-Augmented Single-Spoke Real-Time 4D MRI

Weak supervision in multi-coil accelerated MR image reconstruction