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20172022
most citedDeepReg: a deep learning toolkit for medical image registration

47 citations · 56 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.CV20221 cited

SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration

Sean I. Young, Yaël Balbastre, Adrian V. Dalca +3

In recent years, learning-based image registration methods have gradually moved away from direct supervision with target warps to instead use self-supervision, with excellent resul…

cs.CV2021

Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms

Loic Peter, Daniel C. Alexander, Caroline Magnain +1

Landmark correspondences are a widely used type of gold standard in image registration. However, the manual placement of corresponding points is subject to high inter-user variabil…

cs.CV2020

Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications

Loic Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir +4

Video mosaicking requires the registration of overlapping frames located at distant timepoints in the sequence to ensure global consistency of the reconstructed scene. However, ful…

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…

cs.CV2020

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…

cs.CV2019

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

Adrian V. Dalca, Evan Yu, Polina Golland +3

Probabilistic atlas priors have been commonly used to derive adaptive and robust brain MRI segmentation algorithms. Widely-used neuroimage analysis pipelines rely heavily on these…