Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation
Data augmentation is a key element in training high-dimensional models. In this approach,
one synthesizes new observations by applying pre-specified transformations to the original …
one synthesizes new observations by applying pre-specified transformations to the original …
Quantitative rates of brain glucose metabolism distinguish minimally conscious from vegetative state patients
J Stender, R Kupers, A Rodell… - Journal of Cerebral …, 2015 - journals.sagepub.com
The differentiation of the vegetative or unresponsive wakefulness syndrome (VS/UWS) from
the minimally conscious state (MCS) is an important clinical issue. The cerebral metabolic …
the minimally conscious state (MCS) is an important clinical issue. The cerebral metabolic …
Self-similarity weighted mutual information: a new nonrigid image registration metric
H Rivaz, Z Karimaghaloo, DL Collins - Medical image analysis, 2014 - Elsevier
Mutual information (MI) has been widely used as a similarity measure for rigid registration of
multi-modal and uni-modal medical images. However, robust application of MI to deformable …
multi-modal and uni-modal medical images. However, robust application of MI to deformable …
Compiling generalized histograms for gpu
T Henriksen, S Hellfritzsch… - … Conference for High …, 2020 - ieeexplore.ieee.org
We present and evaluate an implementation technique for histogram-like computations on
GPUs that ensures both work-efficient asymptotic cost, support for arbitrary associative and …
GPUs that ensures both work-efficient asymptotic cost, support for arbitrary associative and …
A framework for voxel‐based assessment of biological effect after proton radiotherapy in pediatric brain cancer patients using multi‐modal imaging
M Skaarup, MJ Lundemann, S Darkner… - Medical …, 2021 - Wiley Online Library
Introduction The exact dependence of biological effect on dose and linear energy transfer
(LET) in human tissue when delivering proton therapy is unknown. In this study, we propose …
(LET) in human tissue when delivering proton therapy is unknown. In this study, we propose …
Kernel bundle diffeomorphic image registration using stationary velocity fields and wendland basis functions
In this paper, we propose a multi-scale, multi-kernel shape, compactly supported kernel
bundle framework for stationary velocity field-based image registration (Wendland kernel …
bundle framework for stationary velocity field-based image registration (Wendland kernel …
An information-theoretic image quality measure: comparison with statistical similarity
AF Hassan, D Cailin, ZM Hussain - 2014 - ro.ecu.edu.au
We present an information-theoretic approach for structural similarity for assessing gray
scale image quality. The structural similarity measure SSIM, proposed in 2004, has been …
scale image quality. The structural similarity measure SSIM, proposed in 2004, has been …
Restoring drifted electron microscope volumes using synaptic vesicles at sub-pixel accuracy
Imaging ultrastructures in cells using Focused Ion Beam Scanning Electron Microscope (FIB-
SEM) yields section-by-section images at nano-resolution. Unfortunately, we observe that …
SEM) yields section-by-section images at nano-resolution. Unfortunately, we observe that …
Collocation for diffeomorphic deformations in medical image registration
Diffeomorphic deformation is a popular choice in medical image registration. A fundamental
property of diffeomorphisms is invertibility, implying that once the relation between two …
property of diffeomorphisms is invertibility, implying that once the relation between two …
Locally orderless networks
We present Locally Orderless Networks (LON) and its theoretic foundation which links it to
Convolutional Neural Networks (CNN), to Scale-space histograms, and measurement …
Convolutional Neural Networks (CNN), to Scale-space histograms, and measurement …