Overview
Availability
- Dr Viktor Vegh is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, Queensland University of Technology
Works
Search Professor Viktor Vegh’s works on UQ eSpace
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
Funding
Current funding
Supervision
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
-
2020
Doctor Philosophy
Individually shielded monopole antenna array for ultra-high field MRI
Principal Advisor
-
2020
Doctor Philosophy
Multi echo time Magnetic Resonance data as a substitute for Computed Tomography
Principal Advisor
-
2019
Doctor Philosophy
Measuring tissue variations in the human brain using quantitative MRI
Principal Advisor
Other advisors: Professor Markus Barth
-
2018
Doctor Philosophy
Towards a low-cost and portable ultra-low field magnetic resonance system based on permanent magnets and room temperature detectors
Principal Advisor
-
2018
Master Philosophy
Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure
Principal Advisor
-
2024
Doctor Philosophy
Machine learning for positron emission tomography (PET) reconstruction and analysis
Associate Advisor
-
-
2024
Doctor Philosophy
Machine learning and deep learning-based approaches in epilepsy
Associate Advisor
-
2021
Doctor Philosophy
Design and construction of a 3D ultra-low field MRI instrument using a dynamic small permanent magnet array and coil-based inductive magnetometer
Associate Advisor
-
2021
Doctor Philosophy
Application of Magnetic Resonance methods for the in vivo imaging of a mouse model of concussion
Associate Advisor
Other advisors: Associate Professor Fatima Nasrallah
-
2020
Doctor Philosophy
A novel magnetic resonance technique to characterise grey matter microstructure in the human brain
Associate Advisor
-
2020
Doctor Philosophy
MR signal modelling approaches to characterise tissue microstructure in in-vivo human brain
Associate Advisor
Other advisors: Dr Steffen Bollmann, Professor Markus Barth
-
2015
Doctor Philosophy
Realistic models for detection of neuronal currents with magnetic resonance imaging
Associate Advisor
-
2011
Doctor Philosophy
Magnetic Resonance Imaging Evaluation of Acupuncture Effects on Carpal Tunnel Syndrome
Associate Advisor
Other advisors: Professor Graham Galloway
Media
Enquiries
Contact Dr Viktor Vegh directly for media enquiries about:
- Instrumentation - imaging
- Magnetic resonance imaging
- MRI
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