![Maryam Afzali](https://profiles-cardiff.imgix.net/attachments/7592?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Maryam Afzali
Teams and roles for Maryam Afzali
Publication
2026
2025
2024
2023
2022
2021
- De Luca, A. et al., 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240 118367. (10.1016/j.neuroimage.2021.118367)
- Afzali, M. et al. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237 118183. (10.1016/j.neuroimage.2021.118183)
- Hamidinekoo, A. et al., 2021. Glioma classification using multimodal radiology and histology data. Presented at: 6th International Brain Lesion Workshop (BrainLes 2020) Lima, Peru 04 October 2020. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Vol. 12659.Lecture Notes in Computer Science Springer Verlag. , pp.508-518. (10.1007/978-3-030-72087-2_45)
2020
- Pizzolato, M. et al., 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop Shenzhen, China Oct 2019. Published in: Bonet-Carne, E. et al., Computational Diffusion MRI. Mathematics and Visualization Springer. , pp.195-208. (10.1007/978-3-030-52893-5_17)
- Cheng, H. et al., 2020. Segmentation of the brain using direction-averaged signal of DWI images. Magnetic Resonance Imaging 69 , pp.1-7. (10.1016/j.mri.2020.02.010)
- Aja-Fernández, S. et al., 2020. Micro-structure diffusion scalar measures from reduced MRI acquisitions. PLoS ONE 15 (3) e0229526. (10.1371/journal.pone.0229526)
2019
Articles
- Coveney, S. et al., 2026. Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging. Magnetic Resonance in Medicine 95 (1), pp.220-233. (10.1002/mrm.70037)
- Coveney, S. et al., 2025. Optimising cardiac diffusion tensor imaging in vivo: more directions or repetitions?. Journal of Cardiovascular Magnetic Resonance 27 (2) 101951. (10.1016/j.jocmr.2025.101951)
- Teh, I. et al., 2025. Multi-centre investigation of cardiac diffusion tensor imaging in healthy volunteers by SCMR cardiac diffusion special interest group NETwork (SIGNET). Journal of Cardiovascular Magnetic Resonance 27 (2) 101948. (10.1016/j.jocmr.2025.101948)
- Afzali, M. et al. 2025. Cardiac diffusion kurtosis imaging in the human heart in vivo using 300mT/m gradients. Magnetic Resonance in Medicine 94 (5), pp.2100-2112. (10.1002/mrm.30626)
- Afzali, M. et al. 2024. In vivo diffusion MRI of the human heart using a 300 mT/m gradient system. Magnetic Resonance in Medicine 92 (3), pp.1022-1034. (10.1002/mrm.30118)
- Engel, M. et al. 2024. Maximising SNR per unit time in diffusion MRI with multiband T-Hex spirals. Magnetic Resonance in Medicine 91 (4), pp.1323-1336. (10.1002/mrm.29953)
- Davies Jenkins, C. W. et al., 2023. Practical considerations of diffusion-weighted MRS with ultra-strong diffusion gradients. Frontiers in Neuroscience 17 1258408. (10.3389/fnins.2023.1258408)
- Afzali, M. et al. 2022. MR Fingerprinting with b-tensor encoding for simultaneous quantification of relaxation and diffusion in a single scan. Magnetic Resonance in Medicine 88 (5), pp.2043-2057. (10.1002/mrm.29352)
- Bogusz, F. et al., 2022. Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence. Magnetic Resonance Imaging 91 , pp.52-61.
- Afzali, M. et al. 2022. Cumulant expansion with localization: a new representation of the diffusion MRI signal. Frontiers in Neuroimaging 1 958680. (10.3389/fnimg.2022.958680)
- De Luca, A. et al., 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240 118367. (10.1016/j.neuroimage.2021.118367)
- Afzali, M. et al. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237 118183. (10.1016/j.neuroimage.2021.118183)
- Cheng, H. et al., 2020. Segmentation of the brain using direction-averaged signal of DWI images. Magnetic Resonance Imaging 69 , pp.1-7. (10.1016/j.mri.2020.02.010)
- Aja-Fernández, S. et al., 2020. Micro-structure diffusion scalar measures from reduced MRI acquisitions. PLoS ONE 15 (3) e0229526. (10.1371/journal.pone.0229526)
Conferences
- Hamidinekoo, A. et al., 2021. Glioma classification using multimodal radiology and histology data. Presented at: 6th International Brain Lesion Workshop (BrainLes 2020) Lima, Peru 04 October 2020. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Vol. 12659.Lecture Notes in Computer Science Springer Verlag. , pp.508-518. (10.1007/978-3-030-72087-2_45)
- Pizzolato, M. et al., 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop Shenzhen, China Oct 2019. Published in: Bonet-Carne, E. et al., Computational Diffusion MRI. Mathematics and Visualization Springer. , pp.195-208. (10.1007/978-3-030-52893-5_17)
- Afzali Deligani, M. et al. 2019. Comparison of different tensor encoding combinations in microstructural parameter estimation. Presented at: IEEE International Symposium on Biomedical Imaging Venice, Italy 8-11 Apr 2019. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE. , pp.1471-1474. (10.1109/ISBI.2019.8759100)