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Viktor Vegh
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Journal Articles
- 2022
- [j14]Qiang Yu, Ian W. Turner, Fawang Liu, Viktor Vegh:
The application of the distributed-order time fractional Bloch model to magnetic resonance imaging. Appl. Math. Comput. 427: 127188 (2022) - [j13]Azin Shokraei Fard, David C. Reutens, Viktor Vegh:
From CNNs to GANs for cross-modality medical image estimation. Comput. Biol. Medicine 146: 105556 (2022) - [j12]Qianqian Yang, David C. Reutens, Viktor Vegh:
Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum. NeuroImage 250: 118903 (2022) - [j11]Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun:
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage 259: 119410 (2022) - [j10]Jiasheng Su, Ruben Pellicer-Guridi, Thomas Edwards, Miguel Fuentes, Matthew S. Rosen, Viktor Vegh, David C. Reutens:
A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications. IEEE Trans. Medical Imaging 41(5): 1007-1016 (2022) - 2021
- [j9]Fangrong Zong, Jiaxin Du, Xiaofeng Deng, Xubin Chai, Yan Zhuo, Viktor Vegh, Rong Xue:
Fast Diffusion Kurtosis Mapping of Human Brain at 7 Tesla With Hybrid Principal Component Analyses. IEEE Access 9: 107965-107975 (2021) - 2018
- [j8]Qiang Yu, David C. Reutens, Viktor Vegh:
Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure? NeuroImage 175: 122-137 (2018) - [j7]Shrinath Kadamangudi, David C. Reutens, Surabhi Sood, Viktor Vegh:
Signal compartments in ultra-high field multi-echo gradient echo MRI reflect underlying tissue microstructure in the brain. NeuroImage 178: 403-413 (2018) - [j6]Kiran Thapaliya, Viktor Vegh, Steffen Bollmann, Markus Barth:
Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T. NeuroImage 182: 407-416 (2018) - 2017
- [j5]Shanlin Qin, Fawang Liu, Ian W. Turner, Viktor Vegh, Qiang Yu, Qianqian Yang:
Multi-term time-fractional Bloch equations and application in magnetic resonance imaging. J. Comput. Appl. Math. 319: 308-319 (2017) - 2014
- [j4]Jiaxin Du, Viktor Vegh, David C. Reutens:
MRI signal phase oscillates with neuronal activity in cerebral cortex: Implications for neuronal current imaging. NeuroImage 94: 1-11 (2014) - 2012
- [j3]Gregory K. Pierens, Steven Brossi, Zhengyi Yang, David C. Reutens, Viktor Vegh:
HSQC spectral based similarity matching of compounds using nearest neighbours and a fast discrete genetic algorithm. J. Cheminformatics 4: 25 (2012) - [j2]Jiaxin Du, Viktor Vegh, David C. Reutens:
The Laminar Cortex Model: A New Continuum Cortex Model Incorporating Laminar Architecture. PLoS Comput. Biol. 8(10) (2012) - 2008
- [j1]Quang Minh Tieng, Peter Ullmann, Graham J. Galloway, Jürgen Hennig, Gary J. Cowin, Viktor Vegh:
An Approach of Deriving Relative Sensitivity Profiles for Image Reconstruction in MRI. IEEE J. Sel. Top. Signal Process. 2(6): 817-827 (2008)
Conference and Workshop Papers
- 2023
- [c6]Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) 2023: 483-494 - 2012
- [c5]Quang Minh Tieng, Viktor Vegh, David C. Reutens, Zhengyi Yang:
Application of Weber's Law to Medical Image Registration to Accommodate Intensity Inhomogeneities. DICTA 2012: 1-7 - 2011
- [c4]Zhengyi Yang, Viktor Vegh, David C. Reutens, Gregory K. Pierens:
A Rapid Procedure for Spectral Similarity Matching of Heteronuclear Single Quantum Coherence Spectra. DICTA 2011: 302-307 - [c3]Seyyed Adel Alavi Fazel, Yaniv Gal, Zhengyi Yang, Viktor Vegh:
Qualitative and Quantitave Analysis of Six Image Fusion Methodologies and Their Application to Medical Imaging. DICTA 2011: 308-313 - 2010
- [c2]Viktor Vegh, Zhengyi Yang, Quang Minh Tieng, David C. Reutens:
Multimodal image registration using stochastic differential equation optimization. ICIP 2010: 4385-4388 - 2008
- [c1]Quang Minh Tieng, Viktor Vegh, Gary J. Cowin, Zhengyi Yang:
Fast parallel image reconstruction using smacker for functional magnetic resonance imaging. ISBI 2008: 564-567
Informal and Other Publications
- 2024
- [i6]Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh:
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. CoRR abs/2401.03621 (2024) - [i5]Soumen Ghosh, Viktor Vegh, Shahrzad Moinian, Hamed Moradi, Alice-Ann Sullivan, John Phamnguyen, David C. Reutens:
NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction. CoRR abs/2404.10290 (2024) - 2023
- [i4]Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. CoRR abs/2309.12572 (2023) - [i3]Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh:
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. CoRR abs/2311.14197 (2023) - 2021
- [i2]Azin Shokraei Fard, David C. Reutens, Viktor Vegh:
CNNs and GANs in MRI-based cross-modality medical image estimation. CoRR abs/2106.02198 (2021) - 2017
- [i1]Mohammad Reza Bonyadi, Viktor Vegh, David C. Reutens:
Linear centralization classifier. CoRR abs/1712.08259 (2017)
Coauthor Index
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