29 citations · 54 across the 7 of their papers we have counts for
8 papers
Fractional order magnetic resonance fingerprinting in the human cerebral cortex
Viktor Vegh, Shahrzad Moinian, Qianqian Yang +1
Mathematical models are becoming increasingly important in magnetic resonance imaging (MRI), as they provide a mechanistic approach for making a link between tissue microstructure…
CNNs and GANs in MRI-based cross-modality medical image estimation
Azin Shokraei Fard, David C. Reutens, Viktor Vegh
Cross-modality image estimation involves the generation of images of one medical imaging modality from that of another modality. Convolutional neural networks (CNNs) have been show…
Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum
Qianqian Yang, David C. Reutens, Viktor Vegh
Diffusion MRI measures of the human brain provide key insight into microstructural variations across individuals and into the impact of central nervous system diseases and disorder…
Probing entanglement in Compton interactions
Peter Caradonna, David Reutens, Tadayuki Takahashi +2
This theoretical research aims to examine areas of the Compton cross section of entangled annihilation photons for the purpose of testing for possible break down of theory, which c…
Optimal-margin evolutionary classifier
Mohammad Reza Bonyadi, David C. Reutens
We introduce a novel approach for discriminative classification using evolutionary algorithms. We first propose an algorithm to optimize the total loss value using a modified 0-1 l…
Linear centralization classifier
Mohammad Reza Bonyadi, Viktor Vegh, David C. Reutens
A classification algorithm, called the Linear Centralization Classifier (LCC), is introduced. The algorithm seeks to find a transformation that best maps instances from the feature…
Optimization of distributions differences for classification
Mohammad Reza Bonyadi, Quang M. Tieng, David C. Reutens
In this paper we introduce a new classification algorithm called Optimization of Distributions Differences (ODD). The algorithm aims to find a transformation from the feature space…
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling
Hien D. Nguyen, Jeremy F. P. Ullmann, Geoffrey J. McLachlan +5
Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescen…