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Cambridge Mathematics of Information in Healthcare Hub (CMIH)

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  • Currently displaying 181 - 200 of 1303 publications
Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2
AS Fokas, N Dikaios, GA Kastis
– Journal of the Royal Society, Interface
(2020)
17,
20200494
Fokas method for linear boundary value problems involving mixed spatial derivatives.
A Batal, AS Fokas, T Özsarı
– Proceedings of the Royal Society A
(2020)
476,
20200076
The Modified Helmholtz Equation on a Regular Hexagon-The Symmetric Dirichlet Problem
K Kalimeris, AS Fokas
– Axioms
(2020)
9,
89
105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack
EPV Le, N Evans, J Tarkin, M Chowdhury, F Zaccagna, H Pavey, C Wall, Y Huang, J Weir-McCall, E Warburton, L Rundo, C-B Schönlieb, E Sala, JH Rudd
– Heart
(2020)
106,
a82
Robust inference via knockoffs
RF Barber, E Candes, R Samworth
– Annals of Statistics
(2020)
48,
1409
Biomechanical insight of the stent-induced thrombosis following flow-diverting strategy in the management of complicated aortic aneurysms.
Y Zhang, Y Huang, Z Teng, J Cui, Q Lu, Z Jing
– Int Angiol
(2020)
40,
52
Electroencephalography and magnetoencephalography: An analytical-numerical approach
G Dassios, AS Fokas
(2020)
1
Classification with imperfect training labels
T Cannings, Y Fan, R Samworth
– Biometrika
(2020)
107,
311
Local nearest neighbour classification with applications to semi-supervised learning
TI Cannings, TB Berrett, RJ Samworth
– Annals of Statistics
(2020)
48,
1789
Shielding from covid-19 should be stratified by risk.
GD Smith, D Spiegelhalter
– The BMJ
(2020)
369,
m2063
clairvoyance alpha: the first pipeline toolkit for medical time series
M van Der Schaar, J Yoon, Z Qian, D Jarrett, I Bica
(2020)
Goodness-of-fit testing in high dimensional generalized linear models
J Janková, RD Shah, P Bühlmann, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2020)
82,
773
On instabilities of deep learning in image reconstruction and the potential costs of AI.
V Antun, F Renna, C Poon, B Adcock, AC Hansen
– Proceedings of the National Academy of Sciences
(2020)
117,
30088
Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission
L Rivett, S Sridhar, D Sparkes, M Routledge, NK Jones, S Forrest, J Young, J Pereira-Dias, WL Hamilton, M Ferris, ME Torok, L Meredith, CITIID-NIHR COVID-19 BioResource Collaboration, MD Curran, S Fuller, A Chaudhry, A Shaw, RJ Samworth, JR Bradley, G Dougan, KG Smith, PJ Lehner, NJ Matheson, G Wright, IG Goodfellow, S Baker, MP Weekes
– eLife
(2020)
9,
e58728
Tomographic reconstruction with spatially varying parameter selection
Y Dong, C-B Schönlieb
– Inverse Problems
(2020)
36,
054002
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte
M Drechsler, LF Lang, L Al-Khatib, H Dirks, M Burger, C-B Schönlieb, IM Palacios
– Molecular Biology of the Cell
(2020)
31,
1246
The effects of communicating uncertainty on public trust in facts and numbers.
AM van der Bles, S van der Linden, ALJ Freeman, DJ Spiegelhalter
– Proc Natl Acad Sci U S A
(2020)
117,
7672
Variational Osmosis for Non-Linear Image Fusion
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– IEEE Trans Image Process
(2020)
29,
5507
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, C-B Schönlieb, O Öktem, SHW Scheres
(2020)
2020.03.25.007914
Higher-Order Total Directional Variation: Analysis
S Parisotto, S Masnou, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
474