Dr

Viktor Vegh

Email: 
Phone: 
+61 7 344 31682

Availability

Dr Viktor Vegh is:
Available for supervision
Media expert

Fields of research

Biomedical engineering Engineering Numerical and computational mathematics

Qualifications

  • Doctor of Philosophy, Queensland University of Technology

Search Professor Viktor Vegh’s works on UQ eSpace

156 works between 2002 and 2025
All (156) Journal Article (84) Conference Publication (71) Book Chapter (1)

21 - 40 of 156 works

2023

Conference Publication

Investigating the dot-compartment using diffusion MRI line scanning

Vegh, Viktor, Barrick, Thomas, Yang, Qianqian, Yu, Qiang and Cloos, Martijn (2023). Investigating the dot-compartment using diffusion MRI line scanning. Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, London, United Kingdom, 7 - 12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/4749

Investigating the dot-compartment using diffusion MRI line scanning

2023

Conference Publication

QSM from the raw phase using an end-to-end neural network

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter, Vegh, Viktor, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2023). QSM from the raw phase using an end-to-end neural network. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/4740

QSM from the raw phase using an end-to-end neural network

2023

Conference Publication

Mathematically constrained intravoxel incoherent motion (IVIM)

Wang, Jiaqiu, Barrick, Thomas, Hall, Matt, Karaman, Muge, Magin, Richard, Reiter, David, Yang, Qianqian, Yu, Qiang, Nasrallah, Fatima, Koh, Weeyao and Vegh, Viktor (2023). Mathematically constrained intravoxel incoherent motion (IVIM). Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/3043

Mathematically constrained intravoxel incoherent motion (IVIM)

2023

Conference Publication

Analyzing Task-based fMRI Time Series using Machine Learning

Kuan, Elaine, Vegh, Viktor, O'Brien, Kieran, Hammond, Amanda, Yaksic, Javier Urriola and Reutens, David (2023). Analyzing Task-based fMRI Time Series using Machine Learning. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/1909

Analyzing Task-based fMRI Time Series using Machine Learning

2022

Journal Article

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter J., Vegh, Viktor, Nasrallah, Fatima, Winter, Craig, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2022). Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage, 259 119410, 1-13. doi: 10.1016/j.neuroimage.2022.119410

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

2022

Conference Publication

Radiomics biomarkers are associated with survival in patients with oesophageal adenocarcinoma

Aoude, L.G., Bonazzi, V.F., Brosda, S., Wong, B., Moradi, H., Lonie, J., Bradford, J., Bloxham, C., Atkinson, V.G., Law, P., Lampe, G., Smithers, M., Waddell, N., Vegh, V., Miles, K. and Barbour, A.P. (2022). Radiomics biomarkers are associated with survival in patients with oesophageal adenocarcinoma. ESMO Congress 2022, Singapore, 9 - 13 September 2022. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.annonc.2022.07.1357

Radiomics biomarkers are associated with survival in patients with oesophageal adenocarcinoma

2022

Journal Article

From CNNs to GANs for cross-modality medical image estimation

Shokraei Fard, Azin, Reutens, David C. and Vegh, Viktor (2022). From CNNs to GANs for cross-modality medical image estimation. Computers in Biology and Medicine, 146 105556, 105556. doi: 10.1016/j.compbiomed.2022.105556

From CNNs to GANs for cross-modality medical image estimation

2022

Journal Article

Editorial: Translatable Models and MRI Methods for Neurodegenerative Diseases

Gatto, Rodolfo G., Jelescu, Ileana O. and Vegh, Viktor (2022). Editorial: Translatable Models and MRI Methods for Neurodegenerative Diseases. Frontiers in Neuroscience, 16 919860. doi: 10.3389/fnins.2022.919860

Editorial: Translatable Models and MRI Methods for Neurodegenerative Diseases

2022

Journal Article

A CNN based software gradiometer for electromagnetic background noise reduction in low field MRI applications

Su, Jiasheng, Pellicer-Guridi, Ruben, Edwards, Thomas, Fuentes, Miguel, Rosen, Matthew S., Vegh, Viktor and Reutens, David (2022). A CNN based software gradiometer for electromagnetic background noise reduction in low field MRI applications. IEEE Transactions on Medical Imaging, 41 (5), 1007-1016. doi: 10.1109/TMI.2022.3147450

A CNN based software gradiometer for electromagnetic background noise reduction in low field MRI applications

2022

Conference Publication

In vivo microstructural border delineation between areas of the human cerebral cortex using magnetic resonance fingerprinting (MRF) residuals

Moinian, Shahrzad, Vegh, Viktor and Reutens, David (2022). In vivo microstructural border delineation between areas of the human cerebral cortex using magnetic resonance fingerprinting (MRF) residuals. International Symposium for Magnetic Resonance in Medicine (ISMRM), London, United Kingdom, 7-12 May 2022. Concord, CA: ISMRM. doi: 10.58530/2022/4321

In vivo microstructural border delineation between areas of the human cerebral cortex using magnetic resonance fingerprinting (MRF) residuals

2022

Journal Article

Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals

Moinian, Shahrzad, Vegh, Viktor and Reutens, David (2022). Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals. Cerebral Cortex, 33 (5), 1550-1565. doi: 10.1093/cercor/bhac155

Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals

2022

Journal Article

The application of the distributed-order time fractional Bloch model to magnetic resonance imaging

Yu, Qiang, Turner, Ian, Liu, Fawang and Vegh, Viktor (2022). The application of the distributed-order time fractional Bloch model to magnetic resonance imaging. Applied Mathematics and Computation, 427 127188, 127188. doi: 10.1016/j.amc.2022.127188

The application of the distributed-order time fractional Bloch model to magnetic resonance imaging

2022

Journal Article

Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum

Yang, Qianqian, Reutens, David C. and Vegh, Viktor (2022). Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum. NeuroImage, 250 118903, 118903. doi: 10.1016/j.neuroimage.2022.118903

Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum

2022

Journal Article

Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL

To, Xuan Vinh, Vegh, Viktor and Nasrallah, Fatima A. (2022). Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL. Journal of Neuroscience Methods, 366 109411, 109411. doi: 10.1016/j.jneumeth.2021.109411

Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GL

2021

Journal Article

Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions

Moinian, Shahrzad, Vegh, Viktor, O’Brien, Kieran and Reutens, David (2021). Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions. Brain Structure and Function, 227 (1), 313-329. doi: 10.1007/s00429-021-02402-9

Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions

2021

Journal Article

Acute mountain sickness following incremental trekking to high altitude: correlation with plasma vascular endothelial growth factor levels and the possible effects of dexamethasone and acclimatization following re-exposure

Winter, Craig, Bjorkman, Tracy, Miller, Stephanie, Nichols, Paul, Cardinal, John, O’Rourke, Peter, Ballard, Emma, Nasrallah, Fatima and Vegh, Viktor (2021). Acute mountain sickness following incremental trekking to high altitude: correlation with plasma vascular endothelial growth factor levels and the possible effects of dexamethasone and acclimatization following re-exposure. Frontiers in Physiology, 12 746044, 746044. doi: 10.3389/fphys.2021.746044

Acute mountain sickness following incremental trekking to high altitude: correlation with plasma vascular endothelial growth factor levels and the possible effects of dexamethasone and acclimatization following re-exposure

2021

Journal Article

Fractional order magnetic resonance fingerprinting in the human cerebral cortex

Vegh, Viktor, Moinian, Shahrzad, Yang, Qianqian and Reutens, David C. (2021). Fractional order magnetic resonance fingerprinting in the human cerebral cortex. Mathematics, 9 (13) 1549, 1549. doi: 10.3390/math9131549

Fractional order magnetic resonance fingerprinting in the human cerebral cortex

2021

Journal Article

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

Abbasi‐Rad, Shahrokh, O’Brien, Kieran, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yasvir, Jin, Jin, Barth, Markus and Bollmann, Steffen (2021). Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation. Magnetic Resonance in Medicine, 85 (5), 2462-2476. doi: 10.1002/mrm.28590

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

2021

Journal Article

Efficient solution of linear inverse problems using an iterative linear neural network with a generalization training approach

Tieng, Quang M., Su, Jiasheng, Vegh, Viktor and Reutens, David C. (2021). Efficient solution of linear inverse problems using an iterative linear neural network with a generalization training approach. Journal of Physics Communications, 5 (3) 035008, 035008. doi: 10.1088/2399-6528/abebcf

Efficient solution of linear inverse problems using an iterative linear neural network with a generalization training approach

2021

Journal Article

Fast diffusion kurtosis mapping of human brain at 7 Tesla with hybrid principal component analyses

Zong, Fangrong, Du, Jiaxin, Deng, Xiaofeng, Chai, Xubin, Zhuo, Yan, Vegh, A. Viktor and Xue, Rong (2021). Fast diffusion kurtosis mapping of human brain at 7 Tesla with hybrid principal component analyses. IEEE Access, 9 9497044, 107965-107975. doi: 10.1109/ACCESS.2021.3100546

Fast diffusion kurtosis mapping of human brain at 7 Tesla with hybrid principal component analyses

Current funding

  • 2025 - 2027
    Cost effective and portable low-field musculoskeletal MRI for high performance sport
    Australia's Economic Accelerator Innovate Grants
    Open grant
  • 2024 - 2027
    Quantum-Enabled Low-Field Magnetic Resonance Imaging for High-Performance Sport
    Quantum 2032 Challenge Program
    Open grant
  • 2023 - 2026
    Assessment of tumour phenotype for precision medicine in oesophageal cancer via deep learning analysis of medical images
    CCQ Accelerating Collaborative Cancer Research
    Open grant
  • 2021 - 2025
    Low-cost, Lightweight and Liquid Helium-free Superconducting MRI Magnet
    ARC Linkage Projects
    Open grant

Past funding

  • 2021 - 2022
    Localising language cortex using task-free fMRI and naturalistic stimuli
    Metro North Hospital and Health Service
    Open grant
  • 2019 - 2022
    Fractional dynamic models for MRI to probe tissue microstructure (ARC Discovery Project administered by the Queensland University of Technology)
    Queensland University of Technology
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2017 - 2019
    Portable three-dimensional ultra-low field MRI
    ARC Discovery Projects
    Open grant
  • 2016 - 2018
    Novel MRI approaches to map focal cortical dysplasia in focal epilepsy
    NHMRC Project Grant
    Open grant
  • 2015
    Does detection of focal cortical dysplasia improve with ultra-high field MRI?
    Royal Brisbane and Women's Hospital
    Open grant
  • 2014 - 2017
    Advancing hybrid imaging with magnetic resonance imaging and positron emission tomography (MRI-PET)
    ARC Linkage Projects
    Open grant
  • 2014 - 2016
    A novel magnetic resonance imaging (MRI) technique to characterise white matter microstructure in the brain
    ARC Discovery Projects
    Open grant
  • 2013 - 2014
    ResTeach 2013 .2 FTE Centre for Advanced Imagin
    UQ ResTeach
    Open grant
  • 2012 - 2016
    Improving cancer management by direct detection with diffusion-weighted magnetic resonance imaging (NHMRC Project Grant administered by the University of Sydney)
    University of Sydney
    Open grant
  • 2010 - 2012
    ResTeach 2010 0.2 FTE Centre for Advanced Imaging
    Open grant
  • 2010
    Direct neuronal imaging with dedicated switchable superconducting magnets
    UQ Early Career Researcher
    Open grant
  • 2009 - 2010
    Malaria detection using low cost NMR spectroscopy
    Bill & Melinda Gates Foundation
    Open grant
  • 2009 - 2010
    Ultra Low Field Magnetic Resonance Imaging of Neurons
    UQ FirstLink Scheme
    Open grant
  • 2004 - 2005
    Development of an MRI Arthroscope for the Hand
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Dr Viktor Vegh is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Brain Image Processing for Identifying Small Cortical Lesions

    Principal Advisor

    Other advisors: Dr Jiaxin Du

  • Doctor Philosophy

    Development of parametric mapping methods for molecular imaging

    Principal Advisor

  • Doctor Philosophy

    Gel-based drug delivery monitored via medical imaging

    Principal Advisor

    Other advisors: Dr Harendra Parekh, Dr Karnaker Reddy Tupally, Dr Brett Paterson

  • Doctor Philosophy

    Language Mapping using Machine Learning and Deep Learning methods with Naturalistic fMRI

    Associate Advisor

  • Doctor Philosophy

    Investigating improvement in quality of kV imaging for image-guided radiotherapy

    Associate Advisor

    Other advisors: Dr Scott Crowe

  • Master Philosophy

    The impact of complex trauma on brain structure and function: implications for the development of complex PTSD

    Associate Advisor

    Other advisors: Associate Professor Jess Taubert, Dr Lena Oestreich

  • Doctor Philosophy

    Network models and seizure semiology

    Associate Advisor

Completed supervision

Enquiries

Contact Dr Viktor Vegh directly for media enquiries about:

  • Instrumentation - imaging
  • Magnetic resonance imaging
  • MRI

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au