activity
20182023
most citedFastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

713 citations · 2.5k across the 20 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.IV2020

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…

cs.CV2020

3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology

Henry Tregidgo, Adria Casamitjana, Caitlin Latimer +9

Neuroimaging to neuropathology correlation (NTNC) promises to enable the transfer of microscopic signatures of pathology to in vivo imaging with MRI, ultimately enhancing clinical…

eess.IV2020★ 205 cited

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…

eess.IV2020★ 49 cited

Cortical surface registration using unsupervised learning

Jieyu Cheng, Adrian V. Dalca, Bruce Fischl +1

Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A convent…

eess.IV2020★ 47 cited

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…

eess.IV2020★ 223 cited

Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0-2 years

Lilla Zöllei, Juan Eugenio Iglesias, Yangming Ou +2

The development of automated tools for brain morphometric analysis in infants has lagged significantly behind analogous tools for adults. This gap reflects the greater challenges i…