Dr

Viktor Vegh

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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

153 works between 2002 and 2025
All (153) Journal Article (83) Book Chapter (1) Conference Publication (69)

1 - 20 of 153 works

2025

Journal Article

Non-invasive arterial input function estimation using an MRA atlas and machine learning

Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2025). Non-invasive arterial input function estimation using an MRA atlas and machine learning. EJNMMI Research, 15 (1) 58, 58-1. doi: 10.1186/s13550-025-01253-3

Non-invasive arterial input function estimation using an MRA atlas and machine learning

2024

Journal Article

Language task-based fMRI analysis using machine learning and deep learning

Kuan, Elaine, Vegh, Viktor, Phamnguyen, John, O’Brien, Kieran, Hammond, Amanda and Reutens, David (2024). Language task-based fMRI analysis using machine learning and deep learning. Frontiers in Radiology, 4 1495181, 1-15. doi: 10.3389/fradi.2024.1495181

Language task-based fMRI analysis using machine learning and deep learning

2024

Journal Article

Robust, fast and accurate mapping of diffusional mean kurtosis

Farquhar, Megan E., Yang, Qianqian and Vegh, Viktor (2024). Robust, fast and accurate mapping of diffusional mean kurtosis. eLife, 12 RP90465. doi: 10.7554/eLife.90465

Robust, fast and accurate mapping of diffusional mean kurtosis

2024

Journal Article

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

Vashistha, Rajat, Vegh, Viktor, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran and Reutens, David (2024). Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks. Frontiers in Radiology, 4 1466498, 1-16. doi: 10.3389/fradi.2024.1466498

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

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, 1-12. doi: 10.3389/fneur.2024.1383773

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

2024

Conference Publication

Unsupervised clustering of PET/CT imaging features in stage III/IV melanoma

Vashistha, Rajat, Moradi, Hamed, Brosda, Sandra, Aoude, Lauren, Vegh, Viktor and Barbour, Andrew (2024). Unsupervised clustering of PET/CT imaging features in stage III/IV melanoma. Annual Meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), Toronto, ON, Canada, 8-11 June 2024. Reston, VA, United States: Society of Nuclear Medicine.

Unsupervised clustering of PET/CT imaging features in stage III/IV melanoma

2024

Conference Publication

Model Selection for Dynamic PET Compartmental Modeling of 18F-FDG Utilizing a Long Field-of-View PET Scanner: Leveraged by a Motion Correction Algorithm

Moradi, Hamed, Vashistha, Rajat, O'Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). Model Selection for Dynamic PET Compartmental Modeling of 18F-FDG Utilizing a Long Field-of-View PET Scanner: Leveraged by a Motion Correction Algorithm. Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), Toronto Canada, Jun 08-11, 2024. RESTON: SOC NUCLEAR MEDICINE INC.

Model Selection for Dynamic PET Compartmental Modeling of 18F-FDG Utilizing a Long Field-of-View PET Scanner: Leveraged by a Motion Correction Algorithm

2024

Conference Publication

Unsupervised individual-specific in vivo parcellation of the human cerebral cortex using magnetic resonance fingerprinting

Moinian, Shahrzad, Vegh, Viktor and Reutens, David (2024). Unsupervised individual-specific in vivo parcellation of the human cerebral cortex using magnetic resonance fingerprinting. International Symposium for Magnetic Resonance in Medicine (ISMRM), Singapore, 4-9 May, 2024. Concord, CA: ISMRM. doi: 10.58530/2024/3560

Unsupervised individual-specific in vivo parcellation of the human cerebral cortex using magnetic resonance fingerprinting

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. 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, ON, Canada, 3-8 June 2023. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. 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

2024

Journal Article

Intranasal delivery of imaging agents to the brain

Almahmoud, Abdallah, Parekh, Harendra S., Paterson, Brett M., Tupally, Karnaker Reddy and Vegh, Viktor (2024). Intranasal delivery of imaging agents to the brain. Theranostics, 14 (13), 5022-5101. doi: 10.7150/thno.98473

Intranasal delivery of imaging agents to the brain

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

Availability

Dr Viktor Vegh is:
Available for supervision

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Supervision history

Current supervision

  • 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

    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

  • Doctor Philosophy

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

    Associate Advisor

  • Doctor Philosophy

    Brain Image Processing for Identifying Small Cortical Lesions

    Associate Advisor

    Other advisors: Dr Jiaxin Du

  • 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

Completed supervision

Enquiries

Contact Dr Viktor Vegh directly for media enquiries about:

  • Instrumentation - imaging
  • Magnetic resonance imaging
  • MRI

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