All Outputs (2)

Denoising Diffusion MRI: Considerations and implications for analysis (2023)
Journal Article
Manzano-Patron, J.-P., Moeller, S., Andersson, J. L. R., Ugurbil, K., Yacoub, E., & Sotiropoulos, S. N. (2024). Denoising Diffusion MRI: Considerations and implications for analysis. Imaging Neuroscience, 2, 1-29. https://doi.org/10.1101/2023.07.24.550348

Development of diffusion MRI (dMRI) denoising approaches has experienced considerable growth over the last years. As noise can inherently reduce accuracy and precision in measurements, its effects have been well characterised both in terms of uncerta... Read More about Denoising Diffusion MRI: Considerations and implications for analysis.

Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage (2021)
Journal Article
Pszczolkowski, S., Manzano-Patron, J. P., Law, Z. K., Krishnan, K., Ali, A., Bath, P. M., Sprigg, N., & Dineen, R. A. (2021). Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage. European Radiology, 31, 7945-7959. https://doi.org/10.1007/s00330-021-07826-9

Objectives To test radiomics-based features extracted from noncontrast CT of patients with spontaneous intracerebral haemorrhage for prediction of haematoma expansion and poor functional outcome and compare them with radiological signs and clinical... Read More about Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage.