Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting

Bayesian sensitivity encoding enables parameter-free, highly accelerated joint multi-contrast reconstruction

Characterizing spectral and temporal effects of heart rate variability on resting-state BOLD signals using wavelet transform coherence

Focused ultrasound thalamotomy for the treatment of tremor impacts the cerebello-thalamo-cortical tremor network

Impairments in cerebral blood flow and cerebrovascular reactivity in the APP23 mouse model of cerebral amyloidosis

MR Artifacts Game Show

Author:Avery Berman  

Session Type:Weekday Course  

Session Date:Monday, 09 May 2022  

Topic:

Session Name:MR Artifacts Game Show  

Program Number:

Room Session:S11 (Breakout B)  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  

    Predictive Value of Multimodal MRI using spectroscopy and perfusion can distinguish between pseudoprogression and disease progression in GBM

    Quantifying the uncertainty of neural networks using Monte Carlo dropout
    for safer and more accurate deep learning based quantitative MRI

    Selective Refocusing Pulse Design via Time-varying Nonlinear Shim Array Fields and RF Pulse with Decomposition Property

    Semi-supervised learning for fast multi-compartment relaxometry myelin water imaging (MCR-MWI)