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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 Conference Publication Unsupervised clustering of PET/CT imaging features in stage III/IV melanomaVashistha, 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. |
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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 AlgorithmMoradi, 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. |
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2024 Conference Publication Unsupervised individual-specific in vivo parcellation of the human cerebral cortex using magnetic resonance fingerprintingMoinian, 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 |
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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 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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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 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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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 |
