| Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? F Grussu, T Schneider, C Tur, RL Yates, M Tachrount, A Ianuş, ... Annals of clinical and translational neurology 4 (9), 663-679, 2017 | 324 | 2017 |
| Spinal cord grey matter segmentation challenge F Prados, J Ashburner, C Blaiotta, T Brosch, J Carballido-Gamio, ... Neuroimage 152, 312-329, 2017 | 165 | 2017 |
| Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo F Grussu, T Schneider, H Zhang, DC Alexander, CAM Wheeler–Kingshott Neuroimage 111, 590-601, 2015 | 149 | 2015 |
| Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ... NeuroImage 195, 285-299, 2019 | 117 | 2019 |
| Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI R Tanno, DE Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ... NeuroImage 225, 117366, 2021 | 113 | 2021 |
| Generic acquisition protocol for quantitative MRI of the spinal cord J Cohen-Adad, E Alonso-Ortiz, M Abramovic, C Arneitz, N Atcheson, ... Nature protocols 16, 4611–4632, 2021 | 99 | 2021 |
| Diffusion-Weighted Imaging: recent advances and applications E Martinez-Heras, F Grussu, F Prados, E Solana, S Llufriu Seminars in Ultrasound, CT and MRI 42 (5), 490-506, 2021 | 73 | 2021 |
| Differentiating multiple sclerosis from AQP4-neuromyelitis optica spectrum disorder and MOG-antibody disease with imaging R Cortese, FP Carrasco, C Tur, A Bianchi, W Brownlee, F De Angelis, ... Neurology 100 (3), e308-e323, 2023 | 72 | 2023 |
| Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... NeuroImage 221, 117128, 2020 | 72 | 2020 |
| Reduced neurite density in the brain and cervical spinal cord in relapsing–remitting multiple sclerosis: A NODDI study S Collorone, N Cawley, F Grussu, F Prados, F Tona, A Calvi, B Kanber, ... Multiple Sclerosis Journal 26 (13), 1647-1657, 2020 | 70 | 2020 |
| Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers J Cohen-Adad, E Alonso-Ortiz, M Abramovic, C Arneitz, N Atcheson, ... Scientific data 8, 219, 2021 | 65 | 2021 |
| Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising F Grussu, M Battiston, J Veraart, T Schneider, J Cohen-Adad, ... Neuroimage 217, 116884, 2020 | 45 | 2020 |
| A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord F Grussu, T Schneider, RL Yates, H Zhang, CAMG Wheeler-Kingshott, ... Journal of neuroscience methods 273, 20-32, 2016 | 39 | 2016 |
| Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord F Grussu, A Ianuş, C Tur, F Prados, T Schneider, E Kaden, S Ourselin, ... Magnetic resonance in medicine 81 (2), 1247-1264, 2019 | 38 | 2019 |
| Brain microstructural and metabolic alterations detected in vivo at onset of the first demyelinating event S Collorone, F Prados, B Kanber, NM Cawley, C Tur, F Grussu, ... Brain 144 (5), 1409-1421, 2021 | 35 | 2021 |
| Bayesian image quality transfer R Tanno, A Ghosh, F Grussu, E Kaden, A Criminisi, DC Alexander Proceedings of Medical Image Computing and Computer-Assisted Intervention …, 2016 | 30 | 2016 |
| Fast and reproducible in vivo T1 mapping of the human cervical spinal cord M Battiston, T Schneider, F Prados, F Grussu, MC Yiannakas, S Ourselin, ... Magnetic resonance in medicine 79 (4), 2142-2148, 2018 | 29 | 2018 |
| Deep learning model fitting for diffusion-relaxometry: a comparative study F Grussu, M Battiston, M Palombo, T Schneider, CAM Wheeler-Kingshott, ... Proceedings of Computational Diffusion MRI 2020 (MICCAI workshop), 159-172, 2021 | 28 | 2021 |
| Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy F Prados, M Moccia, A Johnson, M Yiannakas, F Grussu, MJ Cardoso, ... Neuroimage 209, 116489, 2020 | 24 | 2020 |
| Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge M Pizzolato, M Palombo, E Bonet-Carne, CMW Tax, F Grussu, A Ianus, ... Proceedings of Computational Diffusion MRI 2019 (MICCAI workshop), 195-208, 2020 | 24 | 2020 |
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceVerified email at cs.ucl.ac.uk
