Browsing by Author "Wachinger, Christian"
Now showing items 1-16 of 16
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Atlas-Based Under-Segmentation
(Springer-Verlag, 2014)We study the widespread, but rarely discussed, tendency of atlas-based segmentation to under-segment the organs of interest. Commonly used error measures do not distinguish between under- and over-segmentation, contributing ... -
BrainPrint: A discriminative characterization of brain morphology
(Elsevier, 2015-01)We introduce BrainPrint, a compact and discriminative representation of brain morphology. BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the eigenvalue problem of the ... -
BrainPrint: Identifying Subjects by Their Brain
(Springer-Verlag, 2014)Introducing BrainPrint, a compact and discriminative representation of anatomical structures in the brain. BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the 2D and ... -
BrainPrint: identifying subjects by their brain
(Springer, 2014)Introducing BrainPrint, a compact and discriminative representation of anatomical structures in the brain. BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the 2D and ... -
A contextual maximum likelihood framework for modeling image registration
(Institute of Electrical and Electronics Engineers (IEEE), 2012-06)We introduce a novel probabilistic framework for image registration. This framework considers, in contrast to previous ones, local neighborhood information. We integrate the neighborhood information into the framework by ... -
Contour-Driven Atlas-Based Segmentation
(Institute of Electrical and Electronics Engineers (IEEE), 2015-12)We propose new methods for automatic segmentation of images based on an atlas of manually labeled scans and contours in the image. First, we introduce a Bayesian framework for creating initial label maps from manually ... -
Counter-Driven Regression for Label Inference in Atlas-Based Segmentation
(Springer-Verlag, 2013-09)We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We ... -
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means
(Institute of Electrical and Electronics Engineers (IEEE), 2017-07)OBJECTIVE: We introduce descriptor-based segmentation that extends existing patch-based methods by combining intensities, features, and location information. Since it is unclear which image features are best suited for ... -
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration
(Springer-Verlag, 2014)Intensity-based image registration requires resampling images on a common grid to evaluate the similarity function. The uncertainty of interpolation varies across the image, depending on the location of resampled points ... -
Keypoint Transfer for Fast Whole-Body Segmentation
(Institute of Electrical and Electronics Engineers (IEEE), 2020)© 1982-2012 IEEE. We introduce an approach for image segmentation based on sparse correspondences between keypoints in testing and training images. Keypoints represent automatically identified distinctive image locations, ... -
Keypoint Transfer Segmentation
(2017-08-02)We present an image segmentation method that transfers label maps of entire organs from the training images to the novel image to be segmented. The transfer is based on sparse correspondences between keypoints that represent ... -
Multi-modal robust inverse-consistent linear registration
(Wiley Blackwell, 2015-03)Registration performance can significantly deteriorate when image regions do not comply with model assumptions. Robust estimation improves registration accuracy by reducing or ignoring the contribution of voxels with large ... -
Sampling from Determinantal Point Processes for Scalable Manifold Learning
(Springer-Verlag, 2015-07)High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed ... -
Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization
(Institute of Electrical and Electronics Engineers (IEEE), 2012-09)We address the alignment of a group of images with simultaneous registration. Therefore, we provide further insights into a recently introduced framework for multivariate similarity measures, referred to as accumulated ... -
Sparse Projections of Medical Images onto Manifolds
(Springer-Verlag Berlin Heidelberg, 2013)Manifold learning has been successfully applied to a variety of medical imaging problems. Its use in real-time applications requires fast projection onto the low-dimensional space. To this end, out-of-sample extensions are ... -
Spectral Label Fusion
(Springer-Verlag, 2012-10)We present a new segmentation approach that combines the strengths of label fusion and spectral clustering. The result is an atlas-based segmentation method guided by contour and texture cues in the test image. This offers ...
