29 citations · 76 across the 8 of their papers we have counts for
8 papers
Robust, fast and accurate mapping of diffusional mean kurtosis
Megan E. Farquhar, Qianqian Yang, Viktor Vegh
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, tr…
Instant tissue field and magnetic susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks
Yang Gao, Zhuang Xiong, Amir Fazlollahi +8
Quantitative susceptibility mapping (QSM) is a valuable MRI post-processing technique that quantifies the magnetic susceptibility of body tissue from phase data. However, the tradi…
Fractional order magnetic resonance fingerprinting in the human cerebral cortex
Viktor Vegh, Shahrzad Moinian, Qianqian Yang +1
Mathematical models are becoming increasingly important in magnetic resonance imaging (MRI), as they provide a mechanistic approach for making a link between tissue microstructure…
CNNs and GANs in MRI-based cross-modality medical image estimation
Azin Shokraei Fard, David C. Reutens, Viktor Vegh
Cross-modality image estimation involves the generation of images of one medical imaging modality from that of another modality. Convolutional neural networks (CNNs) have been show…
Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum
Qianqian Yang, David C. Reutens, Viktor Vegh
Diffusion MRI measures of the human brain provide key insight into microstructural variations across individuals and into the impact of central nervous system diseases and disorder…
Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks
Shahrokh Abbasi-Rad, Kieran O'Brien, Samuel Kelly +6
Purpose: The purpose of this study is to demonstrate a method for Specific Absorption Rate (SAR) reduction for T2-FLAIR MRI sequences at 7T by predicting the required adiabatic pul…