Daniel Alexander
Affiliations: | University College London, London, United Kingdom |
Area:
Imaging ScienceGoogle:
"Daniel Alexander"Mean distance: 17.77 (cluster 23)
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Publications
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| Molendowska M, Palombo M, Foley KG, et al. (2024) Diffusion MRI in prostate cancer with ultra-strong whole-body gradients. Nmr in Biomedicine. e5229 |
| Singh S, Giganti F, Dickinson L, et al. (2023) Prostate MR image quality of apparent diffusion coefficient maps versus fractional intracellular volume maps from VERDICT MRI using the PI-QUAL score and a dedicated Likert scale for artefacts. European Journal of Radiology. 168: 111109 |
| Slator PJ, Aviles Verdera J, Tomi-Tricot R, et al. (2023) Low-Field Combined Diffusion-Relaxation MRI for Mapping Placenta Structure and Function. Medrxiv : the Preprint Server For Health Sciences |
| Tregidgo HFJ, Soskic S, Olchanyi MD, et al. (2023) Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI. Arxiv |
| Figini M, Castellano A, Bailo M, et al. (2023) Comprehensive Brain Tumour Characterisation with VERDICT-MRI: Evaluation of Cellular and Vascular Measures Validated by Histology. Cancers. 15 |
| Tregidgo HFJ, Soskic S, Althonayan J, et al. (2023) Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. Neuroimage. 120129 |
| Palombo M, Valindria V, Singh S, et al. (2023) Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Scientific Reports. 13: 2999 |
| Singh S, Rogers H, Kanber B, et al. (2022) Avoiding Unnecessary Biopsy after Multiparametric Prostate MRI with VERDICT Analysis: The INNOVATE Study. Radiology. 212536 |
| Singh S, Mathew M, Mertzanidou T, et al. (2022) Histo-MRI map study protocol: a prospective cohort study mapping MRI to histology for biomarker validation and prediction of prostate cancer. Bmj Open. 12: e059847 |
| Gyori NG, Palombo M, Clark CA, et al. (2021) Training data distribution significantly impacts the estimation of tissue microstructure with machine learning. Magnetic Resonance in Medicine |