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  • Currently displaying 241 - 260 of 1413 publications
A new approach to integrable evolution equations on the circle
AS Fokas, J Lenells
(2021)
(link to publication)
Non-uniform Recovery Guarantees for Binary Measurements and Infinite-Dimensional Compressed Sensing
L Thesing, AC Hansen
– Journal of Fourier Analysis and Applications
(2021)
27,
14
(doi: 10.1007/s00041-021-09813-6)
Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal whilst reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, J Rudd, G Yang, J Babar, E Sala, C Schoenlieb
– Radiol Artif Intell
(2021)
3,
e210011
(doi: 10.1148/ryai.2021210011)
The adverse effects of bisphosphonates in breast cancer: A systematic review and network meta-analysis
C Jackson, ALJ Freeman, Z Szlamka, DJ Spiegelhalter
– PloS one
(2021)
16,
e0246441
(doi: 10.1371/journal.pone.0246441)
Adaptation in multivariate log-concave density estimation
OY Feng, A Guntuboyina, AKH Kim, RJ Samworth
– Annals of Statistics
(2021)
49,
129
(doi: 10.1214/20-AOS1950)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, JHF Rudd, E Sala, C-B Schönlieb
– Nature Machine Intelligence
(2021)
3,
199
(doi: 10.1038/s42256-021-00307-0)
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.
EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, H Pavey, C Wall, F Zaccagna, FA Gallagher, Y Huang, R Sriranjan, A Le, JR Weir-McCall, M Roberts, FJ Gilbert, EA Warburton, C-B Schönlieb, E Sala, JHF Rudd
– Scientific reports
(2021)
11,
3499
(doi: 10.1038/s41598-021-82760-w)
Study on the association of wall shear stress and vessel structural stress with atherosclerosis: An experimental animal study.
Z Teng, S Wang, A Tokgoz, V Taviani, J Bird, U Sadat, Y Huang, AJ Patterson, N Figg, MJ Graves, JH Gillard
– Atherosclerosis
(2021)
320,
38
(doi: 10.1016/j.atherosclerosis.2021.01.017)
Learning to Segment Microscopy Images with Lazy Labels
R Ke, A Bugeau, N Papadakis, P Schuetz, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2021)
12535,
411
(doi: 10.1007/978-3-030-66415-2_27)
A new approach to integrable evolution equations on the circle
AS Fokas, J Lenells
– Proceedings of the Royal Society A
(2021)
477,
20200605
(doi: 10.1098/rspa.2020.0605)
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
– IUCrJ
(2021)
8,
60
(doi: 10.1107/S2052252520014384)
Rogue wave management in an inhomogeneous Nonlinear Fibre with higher order effects
JS He, YS Tao, K Porsezian, AS Fokas
– Journal of Nonlinear Mathematical Physics
(2021)
20,
407
(doi: 10.1080/14029251.2013.855045)
The modified korteweg-de vries equation on the half-line with a sine-wave as dirichlet datum
G Hwang, AS Fokas
– Journal of Nonlinear Mathematical Physics
(2021)
20,
135
(doi: 10.1080/14029251.2013.792492)
On structure and optimisation in computational harmonic analysis - The key aspects in sparse regularisation
AC Hansen, B Roman
(2021)
168,
125
(doi: 10.1007/978-3-030-61887-2_6)
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction
C Delplancke, M Gurnell, J Latz, PJ Markiewicz, C-B Schönlieb, MJ Ehrhardt
– 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference NSS Mic 2020
(2020)
00,
1
(doi: 10.1109/NSS/MIC42677.2020.9508013)
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
– Medical image analysis
(2020)
68,
101941
(doi: 10.1016/j.media.2020.101941)
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction.
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, C-B Schönlieb
– Med Image Anal
(2020)
68,
101933
(doi: 10.1016/j.media.2020.101933)
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction.
J Liu, AI Aviles-Rivero, H Ji, C-B Schönlieb
– Medical Image Analysis
(2020)
68,
101930
(doi: 10.1016/j.media.2020.101930)
Variational regularisation for inverse problems with imperfect forward operators and general noise models
L Bungert, M Burger, Y Korolev, C-B Schönlieb
– Inverse Probl
(2020)
36,
125014
(doi: 10.1088/1361-6420/abc531)
Learning the Sampling Pattern for MRI.
F Sherry, M Benning, JC De Los Reyes, MJ Graves, G Maierhofer, G Williams, C-B Schonlieb, MJ Ehrhardt
– IEEE transactions on medical imaging
(2020)
39,
4310
(doi: 10.1109/tmi.2020.3017353)

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