![Katya Blanter](https://profiles-cardiff.imgix.net/attachments/531?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Ms Katya Blanter
Research student
- BlanterKA1@cardiff.ac.uk
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ
Overview
- Research Summary – UHF MRI safety
- Teaching Summary – PG tutor
Education
- BA in psychology and philosophy from Saint Louis University
- MSc in neuroimaging methods and applications from Cardiff University
Publication
2024
- Blanter, K., Plumley, A., Malik, S. and Kopanoglu, E. 2024. Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition, 04 - 09 May, 2024.
- Blanter, K., Plumley, A. and Kopanoglu, E. 2024. The effects of simulated SAR data processing methods and network parameter tuning on gridding artifacts and network estimation accuracy. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition, 04 - 09 May 2024.
2023
- Blanter, K., Plumley, A., Malik, S. and Kopanoglu, E. 2023. Towards applying deep learning to predict rigid motion-induced changes in Q-matrices from UHF-MRI pTx simulations. Presented at: 2023 ISMRM & ISMRT Annual Meeting & Exhibition, 03 - 08 June, 2023.
Conferences
- Blanter, K., Plumley, A., Malik, S. and Kopanoglu, E. 2024. Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition, 04 - 09 May, 2024.
- Blanter, K., Plumley, A. and Kopanoglu, E. 2024. The effects of simulated SAR data processing methods and network parameter tuning on gridding artifacts and network estimation accuracy. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition, 04 - 09 May 2024.
- Blanter, K., Plumley, A., Malik, S. and Kopanoglu, E. 2023. Towards applying deep learning to predict rigid motion-induced changes in Q-matrices from UHF-MRI pTx simulations. Presented at: 2023 ISMRM & ISMRT Annual Meeting & Exhibition, 03 - 08 June, 2023.
Research
Thesis
Using machine learning to ensure the safety of participants who cannot remain still during magnetic resonance imaging
Teaching
2021 -2022 - PG tutor
