activity
20172021
most citedProbing entanglement in Compton interactions

29 citations · 33 across the 5 of their papers we have counts for

collaborators

6 papers

physics.med-ph2021

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…

eess.IV20214 cited

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…

physics.optics201929 cited

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…

cs.NE2018

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…

cs.LG2017

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…

cs.LG2017

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…