User profiles for Samuel Remedios
 | Samuel W. RemediosJohns Hopkins University, NIH Clinical Center Verified email at nih.gov Cited by 524 |
Brain connections derived from diffusion MRI tractography can be highly anatomically accurate—if we know where white matter pathways start, where they end, and …
MR Tractography, which is based on MRI measures of water diffusivity, is currently the only
method available for noninvasive reconstruction of fiber pathways in the brain. However, it …
method available for noninvasive reconstruction of fiber pathways in the brain. However, it …
HACA3: A unified approach for multi-site MR image harmonization
The lack of standardization and consistency of acquisition is a prominent issue in magnetic
resonance (MR) imaging. This often causes undesired contrast variations in the acquired …
resonance (MR) imaging. This often causes undesired contrast variations in the acquired …
Self-supervised super-resolution for anisotropic MR images with and without slice gap
Magnetic resonance (MR) images are often acquired as multi-slice volumes to reduce scan
time and motion artifacts while improving signal-to-noise ratio. These slices often are thicker …
time and motion artifacts while improving signal-to-noise ratio. These slices often are thicker …
Enlarged perivascular space burden associations with arterial stiffness and cognition
Enlarged perivascular spaces (ePVS) are difficult to quantify, and their etiologies and
consequences are poorly understood. Vanderbilt Memory and Aging Project participants (n = 327, …
consequences are poorly understood. Vanderbilt Memory and Aging Project participants (n = 327, …
Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation
Purpose As deep neural networks achieve more success in the wide field of computer vision,
greater emphasis is being placed on the generalizations of these models for production …
greater emphasis is being placed on the generalizations of these models for production …
Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning
Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-invasive imaging
of the local fiber architecture of the human brain at a millimetric scale. Multiple classical …
of the local fiber architecture of the human brain at a millimetric scale. Multiple classical …
Super-Resolution in Clinically Available Spinal Cord MRIs Enables Automated Atrophy Analysis
BACKGROUND AND PURPOSE: Measurement of the mean upper cervical cord area (MUCCA)
is an important biomarker in the study of neurodegeneration. However, dedicated high-…
is an important biomarker in the study of neurodegeneration. However, dedicated high-…
Classifying magnetic resonance image modalities with convolutional neural networks
Magnetic Resonance (MR) imaging allows the acquisition of images with different contrast
properties depending on the acquisition protocol and the magnetic properties of tissues. …
properties depending on the acquisition protocol and the magnetic properties of tissues. …
The relationship of white matter tract orientation to vascular geometry in the human brain
The white matter of the human brain exhibits highly ordered anisotropic structures of both
axonal nerve fibers and cerebral vasculature. Separately, the anisotropic nature of white matter …
axonal nerve fibers and cerebral vasculature. Separately, the anisotropic nature of white matter …
Automated classification of resting-state fMRI ICA components using a deep Siamese network
Manual classification of functional resting state networks (RSNs) derived from Independent
Component Analysis (ICA) decomposition can be labor intensive and requires expertise, …
Component Analysis (ICA) decomposition can be labor intensive and requires expertise, …
