641 citations · 1.2k across the 16 of their papers we have counts for
4 papers · 1 filter
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre +6
Most existing algorithms for automatic 3D morphometry of human brain MRI scans are designed for data with near-isotropic voxels at approximately 1 mm resolution, and frequently hav…
SynthMorph: learning contrast-invariant registration without acquired images
Malte Hoffmann, Benjamin Billot, Douglas N. Greve +3
We introduce a strategy for learning image registration without acquired imaging data, producing powerful networks agnostic to contrast introduced by magnetic resonance imaging (MR…
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca +1
Partial voluming (PV) is arguably the last crucial unsolved problem in Bayesian segmentation of brain MRI with probabilistic atlases. PV occurs when voxels contain multiple tissue…
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot, Douglas Greve, Koen Van Leemput +3
We present a deep learning strategy that enables, for the first time, contrast-agnostic semantic segmentation of completely unpreprocessed brain MRI scans, without requiring additi…