524 citations · 894 across the 25 of their papers we have counts for
26 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…
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…
Deep infant brain segmentation from multi-contrast MRI
Malte Hoffmann, Lilla Zöllei, Adrian V. Dalca
Segmentation of magnetic resonance images (MRI) facilitates analysis of human brain development by delineating anatomical structures. However, in infants and young children, accura…