D. R. Hose
University of Sheffield
97 Papers
505 Citations
D. R. Hose is an academic researcher from University of Sheffield. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 21, co-authored 81 publications. Previous affiliations of D. R. Hose include Norwegian University of Science and Technology & Royal Hallamshire Hospital.
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Papers
Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model—A report on the Virtual Intracranial Stenting Challenge 2007
Alessandro Radaelli,Luca Augsburger,Juan R. Cebral,Makoto Ohta,Daniel A. Rüfenacht,Rossella Balossino,Goetz Benndorf,D. R. Hose,Alberto Marzo,Ralph W. Metcalfe,Peter Mortier,Fernando Mut,Philippe Reymond,L. Socci,Benedict Verhegghe,Alejandro F. Frangi +15 more
TL;DR: The results demonstrate the ability of current strategies in consistently quantifying the performance of three commercial intracranial stents, and contribute to reinforce the confidence in haemodynamical simulation, thus taking a step forward towards the introduction of simulation tools to support diagnostics and interventional planning.
159
A GONIOMETRIC GLOVE FOR CLINICAL HAND ASSESSMENT: Construction, calibration and validation
TL;DR: It is proposed that goniometric gloves could be useful in the assessment of hand function and be within the limits of traditional goniometry.
93
Computer modelling study of the mechanism of optic nerve injury in blunt trauma
Srdjan Cirovic,Ronnie M. Bhola,D. R. Hose,Ian C. Howard,Patricia W. Lawford,Jane E Marr,M A Parsons +6 more
TL;DR: Finite element computer modelling has provided important insights into a clinical scenario that cannot be replicated in human or animal experiments and suggests that the most likely mechanisms of injury are rapid rotation and lateral translation of the globe, as well as a dramatic rise in the IOP.
83
Development of An Accurate Three-dimensional Finite Element Knee Model
TL;DR: The development of a detailed articulating three-dimensional finite-element model of the human knee, derived from MRI scan images, which would be a valuable tool for examining new designs of prosthesis and mechanisms of injury.
82
neurIST complex information processing toolchain for the integrated management of cerebral aneurysms
Maria-Cruz Villa-Uriol,Guntram Berti,D. R. Hose,Alberto Marzo,Alessandro Chiarini,Justin Penrose,Jose M. Pozo,J. Schmidt,Pankaj Singh,R. Lycett,Ignacio Larrabide,Alejandro F. Frangi,Alejandro F. Frangi +12 more
TL;DR: The consistency of results required by the subsequent statistical analyses was met by a highly automated toolchain combined with training, and an abstract data model governing the management of the simulation-related data provides a framework for data provenance and supports future use of data and toolchain.