1 citations · 1 across the 5 of their papers we have counts for
5 papers
Simulation and Harmonic Analysis of k-Space Readout (SHAKER)
John C. Bodenschatz, Daniel B. Rowe
In the realm of neuroimaging research, the demand for efficient and accurate simulation tools for functional magnetic resonance imaging (fMRI) data is ever increasing. We present S…
A Bayesian Approach to GRAPPA Parallel FMRI Image Reconstruction Increases SNR and Power of Task Detection
Chase J Sakitis, Daniel B Rowe
In fMRI, capturing brain activation during a task is dependent on how quickly k-space arrays are obtained. Acquiring full k-space arrays, which are reconstructed into images using…
A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
Zhengxin Wang, Daniel B. Rowe, Xinyi Li +1
Functional magnetic resonance imaging (fMRI) plays a crucial role in neuroimaging, enabling the exploration of brain activity through complex-valued signals. These signals, compose…
Generation of patient specific cardiac chamber models using generative neural networks under a Bayesian framework for electroanatomical mapping
Sunil Mathew, Jasbir Sra, Daniel B. Rowe
Electroanatomical mapping is a technique used in cardiology to create a detailed 3D map of the electrical activity in the heart. It is useful for diagnosis, treatment planning and…
Efficient Fully Bayesian Approach to Brain Activity Mapping with Complex-Valued fMRI Data
Zhengxin Wang, Daniel B. Rowe, Xinyi Li +1
Functional magnetic resonance imaging (fMRI) enables indirect detection of brain activity changes via the blood-oxygen-level-dependent (BOLD) signal. Conventional analysis methods…