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2025 Journal Article Non-invasive arterial input function estimation using an MRA atlas and machine learningVashistha, 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 |
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2024 Journal Article Language task-based fMRI analysis using machine learning and deep learningKuan, 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 |
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2024 Journal Article Robust, fast and accurate mapping of diffusional mean kurtosisFarquhar, 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 |
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2024 Journal Article Modular GAN: positron emission tomography image reconstruction using two generative adversarial networksVashistha, 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 |
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2024 Journal Article Image synthesis of interictal SPECT from MRI and PET using machine learningFard, 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 |
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2024 Journal Article Automated extraction of the arterial input function from brain images for parametric PET studiesMoradi, 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 |
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2024 Journal Article A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PETMoradi, 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 |
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2024 Journal Article Intranasal delivery of imaging agents to the brainAlmahmoud, 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 |
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2024 Journal Article ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimagesVashistha, 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 |
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2023 Journal Article An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRIMoinian, 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 |
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2023 Journal Article Hippocampal demyelination is associated with increased magnetic susceptibility in a mouse model of concussionTo, 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 |
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2022 Journal Article Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networksGao, 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 |
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2022 Journal Article From CNNs to GANs for cross-modality medical image estimationShokraei 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 |
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2022 Journal Article Editorial: Translatable Models and MRI Methods for Neurodegenerative DiseasesGatto, 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 |
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2022 Journal Article A CNN based software gradiometer for electromagnetic background noise reduction in low field MRI applicationsSu, 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 |
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2022 Journal Article Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residualsMoinian, 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 |
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2022 Journal Article The application of the distributed-order time fractional Bloch model to magnetic resonance imagingYu, 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 |
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2022 Journal Article Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosumYang, 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 |
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2022 Journal Article Towards data-driven group inferences of resting-state fMRI data in rodents: comparison of group ICA, GIG-ICA, and IVA-GLTo, 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 |
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2021 Journal Article Magnetic resonance fingerprinting residual signals can disassociate human grey matter regionsMoinian, 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 |
