13 papers
: learning to disentangle technical distortions from true biological change
Jingru Fu, Kathleen E. Larson, Douglas N. Greve +2
Longitudinal MRI enables sensitive measurement of structural brain change for studying aging and neurodegenerative disease. Deformable image registration is a key tool for estimati…
HyperFitS -- Hypernetwork Fitting Spectra for metabolic quantification of H MR spectroscopic imaging
Paul J. Weiser, Gulnur Ungan, Amirmohammad Shamaei +5
Purpose: Proton magnetic resonance spectroscopic imaging (H MRSI) enables the mapping of whole-brain metabolites concentrations in-vivo. However, a long-standing problem for it…
Drone Air Traffic Control: Tracking a Set of Moving Objects with Minimal Power
Chek-Manh Loi, Michael Perk, Malte Hoffmann +1
A common sensing problem is to use a set of stationary tracking locations to monitor a collection of moving devices: Given objects that need to be tracked, each following its o…
MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser
Armina Fani, Mike Doan, Isabelle Le +4
Deployment complexity and specialized hardware requirements hinder the adoption of deep learning models in neuroimaging. We present MindGrab, a lightweight, fully convolutional mod…
Unified Brain Surface and Volume Registration
S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann +6
Accurate registration of brain MRI scans is fundamental for cross-subject analysis in neuroscientific studies. This involves aligning both the cortical surface of the brain and the…
Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging
Paul J. Weiser, Jiye Kim, Jongho Lee +6
Purpose: Magnetic Resonance Spectroscopic Imaging (MRSI) maps endogenous brain metabolism while suppressing the overwhelming water signal. Water-unsuppressed MRSI (wu-MRSI) allows…