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

145 works between 2002 and 2024
All (145) Journal Article (78) Book Chapter (1) Conference Publication (66)

1 - 20 of 145 works

2024

Journal Article

Image synthesis of interictal SPECT from MRI and PET using machine learning

Fard, Azin Shokraei, Reutens, David C., Ramsay, Stuart C., Goodman, Steven J., Ghosh, Soumen and Vegh, Viktor (2024). Image synthesis of interictal SPECT from MRI and PET using machine learning. Frontiers in Neurology, 15 1383773. doi: 10.3389/fneur.2024.1383773

Image synthesis of interictal SPECT from MRI and PET using machine learning

2024

Journal Article

Automated extraction of the arterial input function from brain images for parametric PET studies

Moradi, Hamed, Vashistha, Rajat, Ghosh, Soumen, O’Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). Automated extraction of the arterial input function from brain images for parametric PET studies. EJNMMI Research, 14 (1) 33, 1-18. doi: 10.1186/s13550-024-01100-x

Automated extraction of the arterial input function from brain images for parametric PET studies

2024

Journal Article

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Moradi, Hamed, Vashistha, Rajat, O’Brien, Kieran, Hammond, Amanda, Vegh, Viktor and Reutens, David (2024). A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET. EJNMMI Research, 14 (1) 1, 1-14. doi: 10.1186/s13550-023-01061-7

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

2024

Conference Publication

An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction

Moinian, Shahrzad, Kurniawan, Nyoman, Chandra, Shekhar, Vegh, Viktor and Reutens, David (2024). An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction. Concord, CA: ISMRM. doi: 10.58530/2023/4915

An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction

2024

Journal Article

ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages

Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages. EJNMMI Research, 14 (1) 10, 1-13. doi: 10.1186/s13550-024-01072-y

ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages

2024

Conference Publication

Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis

Ellethy, Hanem, Vegh, Viktor and Chandra, Shekhar S. (2024). Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November – 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_39

Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis

2023

Journal Article

An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI

Moinian, Shahrzad, Kurniawan, Nyoman D., Chandra, Shekhar S., Vegh, Viktor and Reutens, David C. (2023). An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI. Intelligence-Based Medicine, 8 100108, 1-15. doi: 10.1016/j.ibmed.2023.100108

An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI

2023

Journal Article

Hippocampal demyelination is associated with increased magnetic susceptibility in a mouse model of concussion

To, Xuan Vinh, Vegh, Viktor, Owusu-Amoah, Naana, Cumming, Paul and Nasrallah, Fatima A. (2023). Hippocampal demyelination is associated with increased magnetic susceptibility in a mouse model of concussion. Experimental Neurology, 365 114406, 1-10. doi: 10.1016/j.expneurol.2023.114406

Hippocampal demyelination is associated with increased magnetic susceptibility in a mouse model of concussion

2023

Conference Publication

SPECT image synthesis from MRI or PET using machine learning

Fard, Azin Shokraei, Reutens, David, Ramsay, Stuart, Goodman, Steven and Vegh, Viktor (2023). SPECT image synthesis from MRI or PET using machine learning. 55th Annual Conference of the Society-of-Nuclear-Medicine (SNMICON), Jodhpur India, Nov 16-19, 2023. RESTON: SOC NUCLEAR MEDICINE INC.

SPECT image synthesis from MRI or PET using machine learning

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

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

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

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

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

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

Current funding

  • 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 - 2024
    Low-cost, Lightweight and Liquid Helium-free Superconducting MRI Magnet
    ARC Linkage Projects
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    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 - 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

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Supervision history

Current supervision

  • 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

    Development of parametric mapping methods for molecular imaging

    Principal Advisor

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Scott Crowe

  • Doctor Philosophy

    Network models and seizure semiology

    Associate Advisor

  • Doctor Philosophy

    Development of a framework for quality assurance and quality control for magnetic resonance and molecular imaging modalities

    Associate Advisor

    Other advisors: Dr Monique Tourell, Professor Markus Barth

  • Master Philosophy

    Brain Image Processing for Identifying Small Cortical Lesions

    Associate Advisor

    Other advisors: Dr Jiaxin Du

  • Doctor Philosophy

    Presurgical Language Mapping with Naturalistic fMRI

    Associate Advisor

  • Doctor Philosophy

    Deep Learning Strategies for Enhanced mTBI Diagnosis Using Clinical and CT Data

    Associate Advisor

    Other advisors: Dr Shakes Chandra

Completed supervision

Enquiries

Contact Dr Viktor Vegh directly for media enquiries about:

  • Instrumentation - imaging
  • Magnetic resonance imaging
  • MRI

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