| Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison E Panagiotaki, T Schneider, B Siow, MG Hall, MF Lythgoe, DC Alexander NeuroImage, 2012 | 516 | 2012 |
| Noninvasive quantification of solid tumor microstructure using VERDICT MRI E Panagiotaki, S Walker-Samuel, B Siow, SP Johnson, V Rajkumar, ... Cancer research 74 (7), 1902-1912, 2014 | 272 | 2014 |
| Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic … E Panagiotaki, RW Chan, N Dikaios, D Atkinson, S Punwani, DJ Hawkes, ... Investigative Radiology 50 (4), 218-227, 2015 | 208 | 2015 |
| A ranking of diffusion MRI compartment models with in vivo human brain data U Ferizi, T Schneider, E Panagiotaki, G Nedjati‐Gilani, H Zhang, ... Magnetic resonance in medicine 72 (6), 1785-1792, 2014 | 110 | 2014 |
| Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta PJ Slator, J Hutter, M Palombo, LH Jackson, A Ho, E Panagiotaki, ... Magnetic resonance in medicine 82 (1), 95-106, 2019 | 88 | 2019 |
| Placenta microstructure and microcirculation imaging with diffusion MRI PJ Slator, J Hutter, L McCabe, ADS Gomes, AN Price, E Panagiotaki, ... Magnetic resonance in medicine 80 (2), 756-766, 2018 | 70 | 2018 |
| VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient EW Johnston, E Bonet-Carne, U Ferizi, B Yvernault, H Pye, D Patel, ... Radiology 291 (2), 391-397, 2019 | 60 | 2019 |
| Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo RM Bourne, E Panagiotaki, A Bongers, P Sved, G Watson, DC Alexander Magnetic resonance in medicine 72 (5), 1418-1426, 2014 | 54 | 2014 |
| INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of … E Johnston, H Pye, E Bonet-Carne, E Panagiotaki, D Patel, M Galazi, ... BMC cancer 16 (1), 1-11, 2016 | 51 | 2016 |
| High-fidelity meshes from tissue samples for diffusion MRI simulations E Panagiotaki, MG Hall, H Zhang, B Siow, MF Lythgoe, DC Alexander Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 404-411, 2010 | 39 | 2010 |
| Limitations and prospects for diffusion-weighted MRI of the prostate R Bourne, E Panagiotaki Diagnostics 6 (2), 21, 2016 | 36 | 2016 |
| Apparatus for histological validation of in vivo and ex vivo magnetic resonance imaging of the human prostate RM Bourne, C Bailey, EW Johnston, H Pye, S Heavey, H Whitaker, B Siow, ... Frontiers in oncology, 47, 2017 | 34 | 2017 |
| Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response TA Roberts, H Hyare, G Agliardi, B Hipwell, A d’Esposito, A Ianus, ... Scientific reports 10 (1), 1-13, 2020 | 33 | 2020 |
| Optimised VERDICT MRI protocol for prostate cancer characterisation E Panagiotaki, A Ianus, E Johnston, RW Chan, D Atkinson, S Punwani, ... Proceedings of the 23rd meeting of the International society for magnetic …, 2015 | 28 | 2015 |
| VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization E Bonet‐Carne, E Johnston, A Daducci, JG Jacobs, A Freeman, ... NMR in Biomedicine 32 (1), e4019, 2019 | 26 | 2019 |
| Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study C Bailey, B Siow, E Panagiotaki, JH Hipwell, T Mertzanidou, J Owen, ... NMR in Biomedicine 30 (2), e3679, 2017 | 24 | 2017 |
| Viable and fixed white matter: diffusion magnetic resonance comparisons and contrasts at physiological temperature S Richardson, B Siow, E Panagiotaki, T Schneider, MF Lythgoe, ... Magnetic Resonance in Medicine 72 (4), 1151-1161, 2014 | 24 | 2014 |
| Two-compartment models of the diffusion MR signal in brain white matter E Panagiotaki, H Fonteijn, B Siow, MG Hall, A Price, MF Lythgoe, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009, 329-336, 2009 | 24 | 2009 |
| Harnessing uncertainty in domain adaptation for MRI prostate lesion segmentation E Chiou, F Giganti, S Punwani, I Kokkinos, E Panagiotaki Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 23 | 2020 |
| Learning to downsample for segmentation of ultra-high resolution images C Jin, R Tanno, T Mertzanidou, E Panagiotaki, DC Alexander arXiv preprint arXiv:2109.11071, 2021 | 22 | 2021 |
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceVerified email at cs.ucl.ac.uk
