416 citations · 748 across the 56 of their papers we have counts for
9 papers · 1 filter
Fast Predictive Simple Geodesic Regression
Zhipeng Ding, Greg Fleishman, Xiao Yang +3
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datas…
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
Xu Han, Roland Kwitt, Stephen Aylward +6
Brain extraction from images is a common pre-processing step. Many approaches exist, but they are frequently only designed to perform brain extraction from images without strong pa…
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
Emilie Gerardin, Gaël Chételat, Marie Chupin +9
We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensi…
Deep Learning with Topological Signatures
Christoph Hofer, Roland Kwitt, Marc Niethammer +1
Inferring topological and geometrical information from data can offer an alternative perspective on machine learning problems. Methods from topological data analysis, e.g., persist…
Compressing networks with super nodes
Natalie Stanley, Roland Kwitt, Marc Niethammer +1
Community detection is a commonly used technique for identifying groups in a network based on similarities in connectivity patterns. To facilitate community detection in large netw…
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Xu Han, Xiao Yang, Stephen Aylward +2
Registration involving one or more images containing pathologies is challenging, as standard image similarity measures and spatial transforms cannot account for common changes due…
Fast Predictive Multimodal Image Registration
Xiao Yang, Roland Kwitt, Martin Styner +1
We introduce a deep encoder-decoder architecture for image deformation prediction from multimodal images. Specifically, we design an image-patch-based deep network that jointly (i)…
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
Xiao Yang, Roland Kwitt, Martin Styner +1
This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver registration for image-pairs works by patch-wise prediction of a deformation model based…
Probabilistic Diffeomorphic Registration: Representing Uncertainty
Demian Wassermann, Matt Toews, Marc Niethammer +1
This paper presents a novel mathematical framework for representing uncertainty in large deformation diffeomorphic image registration. The Bayesian posterior distribution over the…