Matt G Hall

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Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceVerified email at cs.ucl.ac.uk
Geoff JM ParkerProfessor of Healthcare Engineering, Imaging, and Enterprise, University College LondonVerified email at ucl.ac.uk
Chris ClarkProfessor of Imaging and Biophysics, Institute of Child Health, University College LondonVerified email at ucl.ac.uk
Philip A CookDepartment of Radiology, University of PennsylvaniaVerified email at pennmedicine.upenn.edu
Penny L. Hubbard CristinacceResearch Fellow, University of ManchesterVerified email at manchester.ac.uk
Shahrum Nedjati-GilaniVerified email at cs.ucl.ac.uk
Mark LythgoeProfessor of Biomedical Imaging, University College LondonVerified email at ucl.ac.uk
Bernard SiowThe Francis Crick InstituteVerified email at crick.ac.uk
Eleftheria (Laura) PanagiotakiAssociate Professor, Hawkes Institute, Department of Computer Science, UCLVerified email at ucl.ac.uk
Maurice PtitoProfessor in visual neuroscience, Université de MontrealVerified email at umontreal.ca
Tim B. DyrbyProfessor in Bioimaging and Analysis, Technical University of DenmarkVerified email at drcmr.dk
Torben SchneiderDeepSpinVerified email at deepspin.io
Henrik Jeldtoft JensenProfessor of Mathematical Physics, Imperial College LondonVerified email at imperial.ac.uk
Leevi KerkeläUniversity College LondonVerified email at ucl.ac.uk
Gary ZhangProfessor of Computational Imaging, Department of Computer Science, University College LondonVerified email at ucl.ac.uk
Gemma Nedjati-GilaniDepartment of Infectious Disease EpidemiologyVerified email at imperial.ac.uk
Fabio NeryUniversity College LondonVerified email at ucl.ac.uk
Kim ChristensenImperial College LondonVerified email at imperial.ac.uk
Gandini Wheeler-KingshottProfessor in MR PhysicsVerified email at ucl.ac.uk
Filip SzczepankiewiczLund University, Lund, SwedenVerified email at med.lu.se

Matt G Hall

Principal Scientist, National Physical Laboratory

Verified email at npl.co.uk

MRI Simulation Validation Harmonisation Diffusion


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Orientationally invariant indices of axon diameter and density from diffusion MRI DC Alexander, PL Hubbard, MG Hall, EA Moore, M Ptito, GJM Parker, ... Neuroimage 52 (4), 1374-1389, 2010	857	2010
Camino: open-source diffusion-MRI reconstruction and processing PA Cook, Y Bai, S Nedjati-Gilani, KK Seunarine, MG Hall, GJ Parker, ... 14th scientific meeting of the international society for magnetic resonance …, 2006	758	2006
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 59 (3), 2241-2254, 2012	553	2012
Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI MG Hall, DC Alexander IEEE transactions on medical imaging 28 (9), 1354-1364, 2009	280	2009
From diffusion‐weighted MRI to anomalous diffusion imaging MG Hall, TR Barrick Magnetic Resonance in Medicine: An Official Journal of the International …, 2008	261	2008
Quantitative 3D mapping of the human skeletal muscle mitochondrial network AE Vincent, K White, T Davey, J Philips, RT Ogden, C Lawless, C Warren, ... Cell reports 26 (4), 996-1009. e4, 2019	184	2019
Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI TB Dyrby, LV S⊘ gaard, MG Hall, M Ptito, DC Alexander Magnetic resonance in medicine 70 (3), 711-721, 2013	173	2013
Tangled nature: a model of evolutionary ecology K Christensen, SA Di Collobiano, M Hall, HJ Jensen Journal of theoretical Biology 216 (1), 73-84, 2002	166	2002
Sustainable computational science: the ReScience initiative NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... PeerJ Computer Science 3, e142, 2017	120	2017
Time-dependent extinction rate and species abundance in a tangled-nature model of biological evolution M Hall, K Christensen, SA di Collobiano, HJ Jensen Physical Review E 66 (1), 011904, 2002	119	2002
Machine learning based compartment models with permeability for white matter microstructure imaging GL Nedjati-Gilani, T Schneider, MG Hall, N Cawley, I Hill, O Ciccarelli, ... NeuroImage 150, 119-135, 2017	106	2017
Exploiting peak anisotropy for tracking through complex structures KK Seunarine, PA Cook, MG Hall, KV Embleton, GJM Parker, ... 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	69	2007
The matrix formalism for generalised gradients with time-varying orientation in diffusion NMR I Drobnjak, H Zhang, MG Hall, DC Alexander Journal of Magnetic Resonance 210 (1), 151-157, 2011	66	2011
Clinical quantitative MRI and the need for metrology MT Cashmore, AJ McCann, SJ Wastling, C McGrath, J Thornton, MG Hall The British Journal of Radiology 94 (1120), 20201215, 2021	40	2021
Two‐step anomalous diffusion tensor imaging MG Hall, TR Barrick NMR in Biomedicine 25 (2), 286-294, 2012	40	2012
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: 13th …, 2010	39	2010
In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI F Nery, F Szczepankiewicz, L Kerkelä, MG Hall, E Kaden, I Gordon, ... Magnetic resonance in medicine 82 (6), 2160-2168, 2019	37	2019
Diffusion in hierarchical systems: A simulation study in models of healthy and diseased muscle tissue MG Hall, CA Clark Magnetic resonance in medicine 78 (3), 1187-1198, 2017	35	2017
Machine learning based compartment models with permeability for white matter microstructure imaging GL Nedjati-Gilani, T Schneider, MG Hall, CAM Wheeler-Kingshott, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014	27	2014
Assessment of non‐Gaussian diffusion with singly and doubly stretched biexponential models of diffusion‐weighted MRI (DWI) signal attenuation in prostate tissue MG Hall, A Bongers, P Sved, G Watson, RM Bourne NMR in Biomedicine 28 (4), 486-495, 2015	24	2015

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