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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 ARTN 1466498. 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. 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 Conference Publication An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correctionMoinian, 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 |
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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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2024 Conference Publication Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosisEllethy, 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 |
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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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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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2023 Conference Publication SPECT image synthesis from MRI or PET using machine learningFard, 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. |
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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 |
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2023 Conference Publication Analyzing Task-based fMRI Time Series using Machine LearningKuan, 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 |
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2023 Conference Publication Investigating the dot-compartment using diffusion MRI line scanningVegh, 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 |
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2023 Conference Publication QSM from the raw phase using an end-to-end neural networkGao, 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 |
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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 Conference Publication Radiomics biomarkers are associated with survival in patients with oesophageal adenocarcinomaAoude, 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 |
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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 Conference Publication In vivo microstructural border delineation between areas of the human cerebral cortex using magnetic resonance fingerprinting (MRF) residualsMoinian, 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 |
