40 citations · 49 across the 9 of their papers we have counts for
9 papers
PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI
Mohamed Abouagour, Atharva Shah, Eleftherios Garyfallidis
Diffusion MRI microstructure fitting is nonconvex and often performed voxelwise, which limits fiber peak recovery in narrow crossings. This work introduces PRISM, a differentiable…
SuCor: Susceptibility Distortion Correction via Parameter-Free and Self-Regularized Optimal Transport
Sreekar Chigurupati, Eleftherios Garyfallidis
We present SuCor, a method for correcting susceptibility induced geometric distortions in echo planar imaging (EPI) using optimal transport (OT) along the phase encoding direction.…
Spatially Regularized Super-Resolved Constrained Spherical Deconvolution (SR-CSD) of Diffusion MRI Data
Ekin Taskin, Gabriel Girard, Juan Luis Villarreal Haro +4
Constrained Spherical Deconvolution (CSD) is widely used to estimate the white matter fiber orientation distribution (FOD) from diffusion MRI data. Its angular resolution depends o…
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Jong Sung Park, Shreyas Fadnavis, Eleftherios Garyfallidis
Brain extraction is one of the first steps of pre-processing 3D brain MRI data and a prerequisite for any forthcoming brain imaging analyses. However, it is not a simple segmentati…
NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification
Shreyas Fadnavis, Jens Sjölund, Anders Eklund +1
Diffusion MRI (dMRI) is the only non-invasive technique sensitive to tissue micro-architecture, which can, in turn, be used to reconstruct tissue microstructure and white matter pa…
ThetA -- fast and robust clustering via a distance parameter
Eleftherios Garyfallidis, Shreyas Fadnavis, Jong Sung Park +4
Clustering is a fundamental problem in machine learning where distance-based approaches have dominated the field for many decades. This set of problems is often tackled by partitio…