3D image reconstruction from a limited number of 2D images has been a
lo...
Near MDS (NMDS) codes are closely related to interesting objects in fini...
This paper presents NeurEPDiff, a novel network to fast predict the geod...
This paper presents a novel predictive model, MetaMorph, for metamorphic...
Differentiating tumor progression (TP) from treatment-related necrosis (...
Automated identification of myocardial scar from late gadolinium enhance...
The selection of an optimal pacing site, which is ideally scar-free and ...
Deformable shapes provide important and complex geometric features of ob...
Colorectal cancer (CRC) is one of the most common fatal cancer in the wo...
Registration-based atlas building often poses computational challenges i...
This paper presents a novel hierarchical Bayesian model for unbiased atl...
Machine learning (ML) models used in medical imaging diagnostics can be
...
This paper presents a predictive model for estimating regularization
par...
In this paper we present a novel model checking approach to finite-time
...
This paper presents DeepFLASH, a novel network with efficient training a...
Dimensionality reduction on Riemannian manifolds is challenging due to t...
Dimensionality reduction on Riemannian manifolds is challenging due to t...
We present a robust method to correct for motion in volumetric in-utero ...
A reliable Ultrasound (US)-to-US registration method to compensate for b...
Estimating the uncertainty in image registration is an area of current
r...
Region-based methods have proven necessary for improving segmentation
ac...
We present a robust method to correct for motion and deformations for
in...