| An ontologically consistent MRI-based atlas of the mouse diencephalon C Watson, AL Janke, C Hamalainen, SM Bagheri, G Paxinos, DC Reutens, ... NeuroImage 157, 275-287, 2017 | 17 | 2017 |
| Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions S Moinian, V Vegh, K O’Brien, D Reutens Brain Structure and Function, 1-17, 2022 | 5 | 2022 |
| Magnetic Resonance Fingerprinting (MRF) Can Reveal Microstructural Variations in the Brain Gray Matter S Moeiniyan Bagheri, V Vegh, DC Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2018 | 3* | 2018 |
| Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals S Moinian, V Vegh, D Reutens Cerebral Cortex 33 (5), 1550-1565, 2023 | 2 | 2023 |
| An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI S Moinian, ND Kurniawan, SS Chandra, V Vegh, DC Reutens Intelligence-Based Medicine 8, 100108, 2023 | 2 | 2023 |
| NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction S Ghosh, V Vegh, S Moinian, H Moradi, AA Sullivan, J Phamnguyen, ... arXiv preprint arXiv:2404.10290, 2024 | 1 | 2024 |
| Fractional order magnetic resonance fingerprinting in the human cerebral cortex V Vegh, S Moinian, Q Yang, DC Reutens Mathematics 9 (13), 1549, 2021 | 1 | 2021 |
| In vivo voxel-wise parcellation of the human cerebral cortex using 3D MR fingerprinting (MRF) and supervised machine learning classification S Moinian, V Vegh, D Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2020 | 1 | 2020 |
| Towards in-vivo voxel-wise parcellation of human brain cortex S Moeiniyan Bagheri, V Vegh, D Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2019 | 1 | 2019 |
| Cost-effective ubiquitous method for motor vehicle speed estimation using smartphones S Moeiniyan Bagheri, B Assemi, M Mesbah, M Hickman IET Wireless Sensor Systems 8 (6), 340-349, 2018 | 1 | 2018 |
| Using Z in the Development and Maintenance of Computational Models of Real-World Systems SM Bagheri, G Smith, J Hanan Software Engineering and Formal Methods, 36-53, 2014 | 1 | 2014 |
| Unsupervised individual-specific in vivo parcellation of the human cerebral cortex using magnetic resonance fingerprinting S Moinian, V Vegh, D Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2024 | | 2024 |
| Seizure recurrence prediction from MRI and clinical information using novel brain features for machine learning S Ghosh, V Vegh, AA Sullivan, S Moinian, J Phamnguyen, D Reutens American Epilepsy Society Annual Meeting, Orlando, Florida, USA, 2023 | | 2023 |
| An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction S Moinian, N Kurniawan, S Chandra, V Vegh, D Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2023 | | 2023 |
| In vivo microstructural border delineation between areas of the human cerebral cortex using magnetic resonance fingerprinting (MRF) residuals S Moinian, V Vegh, D Reutens Proceedings of the International Society for Magnetic Resonance in Medicine …, 2022 | | 2022 |
| Human cerebral cortex parcellation using time-fractional order magnetic resonance fingerprinting (MRF) S Moinian, D Reutens, V Vegh Proceedings of the International Society for Magnetic Resonance in Medicine …, 2021 | | 2021 |
| A novel magnetic resonance technique to characterise grey matter microstructure in the human brain S Moinian | | 2020 |
Viktor VeghAustralian Institute for Bioengineering and Nanotechnology, The University of QueenslandVerified email at uq.edu.au