1 citations · 1 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
eess.IV2023
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…
stat.ME2023
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…