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  • Currently displaying 241 - 260 of 1367 publications
Local nearest neighbour classification with applications to semi-supervised learning
TI Cannings, TB Berrett, RJ Samworth
– The Annals of Statistics
(2020)
48,
1789
(doi: 10.1214/19-AOS1868)
Shielding from covid-19 should be stratified by risk.
GD Smith, D Spiegelhalter
– BMJ (Clinical research ed.)
(2020)
369,
m2063
(doi: 10.1136/bmj.m2063)
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
(doi: 10.1111/rssb.12371)
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
(doi: 10.7554/eLife.58728)
On instabilities of deep learning in image reconstruction and the potential costs of AI.
V Antun, F Renna, C Poon, B Adcock, AC Hansen
– Proc Natl Acad Sci U S A
(2020)
117,
30088
(doi: 10.1073/pnas.1907377117)
Tomographic reconstruction with spatially varying parameter selection
Y Dong, CB Schönlieb
– Inverse Problems
(2020)
36,
054002
(doi: 10.1088/1361-6420/ab72d4)
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
(doi: 10.1091/MBC.E19-08-0440)
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
(doi: 10.1073/pnas.1913678117)
Variational Osmosis for Non-linear Image Fusion.
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– IEEE Transactions on Image Processing
(2020)
29,
5507
(doi: 10.1109/tip.2020.2983537)
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
(doi: 10.1101/2020.03.25.007914)
Higher-Order Total Directional Variation: Analysis
S Parisotto, S Masnou, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
474
(doi: 10.1137/19M1239210)
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them
LR Hocking, T Holding, C-B Schoenlieb
– Foundations of Computational Mathematics
(2020)
20,
1549
(doi: 10.1007/s10208-020-09450-3)
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
N Debroux, J Aston, F Bonardi, A Forbes, C Le Guyader, M Romanchikova, CB Schonlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
351
(doi: 10.1137/19M1271907)
Dynamic network formation with foresighted agents
Y Song, M van der Schaar
– International Journal of Game Theory
(2020)
49,
345
(doi: 10.1007/s00182-020-00714-4)
A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography
P Hashemzadeh, AS Fokas, CB Schönlieb
– Journal of The Royal Society Interface
(2020)
17,
20190831
(doi: 10.1098/rsif.2019.0831)
Compressed sensing MRI with variable density averaging (CS-VDA) outperforms full sampling at low SNR.
J Schoormans, GJ Strijkers, AC Hansen, AJ Nederveen, BF Coolen
– Physics in Medicine & Biology
(2020)
65,
045004
(doi: 10.1088/1361-6560/ab63b7)
Electro-magnetoencephalography for a spherical multiple-shell model: Novel integral operators with singular-value decompositions
S Leweke, V Michel, AS Fokas
– Inverse Problems
(2020)
36,
035003
(doi: 10.1088/1361-6420/ab291f)
Bregman Itoh-Abe Methods for Sparse Optimisation
M Benning, ES Riis, CB Schönlieb
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
(doi: 10.1007/s10851-020-00944-x)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
J Williams, C Schoenlieb, T Swinfield, J Lee, X Cai, L Qie, D Coomes
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
754
(doi: 10.1109/TGRS.2019.2940146)
3D Segmentation of Trees through a Flexible Multiclass Graph Cut Algorithm
J Williams, CB Schonlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
(2020)
(doi: 10.1109/tgrs.2019.2940146)

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