17 citations · 24 across the 5 of their papers we have counts for
5 papers
ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-Supervised Masked Autoencoders
Xavier Beltran-Urbano, Yiran Li, Xinglin Zeng +10
Arterial spin labeling (ASL) perfusion MRI allows direct quantification of regional cerebral blood flow (CBF) without exogenous contrast, enabling noninvasive measurements that can…
Fast automatic segmentation of thalamic nuclei from MP2RAGE acquisition at 7 Tesla
Ritobrato Datta, Micky K. Bacchus, Dushyant Kumar +6
Purpose: Thalamic nuclei are largely invisible in conventional MRI due to poor contrast. Thalamus Optimized Multi-Atlas Segmentation (THOMAS) provides automatic segmentation of 12…
Estimating regional cerebral blood flow using resting-state functional MRI via machine learning
Ganesh B Chand, Mohamad Habes, Sudipto Dolui +3
Perfusion MRI is an important modality in many brain imaging protocols, since it probes cerebrovascular changes in aging and many diseases; however, it may not be always available.…
A New Similarity Measure for Non-Local Means Filtering of MRI Images
Sudipto Dolui, Alan Kuurstra, Iván C. Salgado Patarroyo +1
The acquisition of MRI images offers a trade-off in terms of acquisition time, spatial/temporal resolution and signal-to-noise ratio (SNR). Thus, for instance, increasing the time…
Spatially regularized compressed sensing of diffusion MRI data
Oleg Michailovich, Yogesh Rathi, Sudipto Dolui
The present paper introduces a method for substantial reduction of the number of diffusion encoding gradients required for reliable reconstruction of HARDI signals. The method expl…