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  • Currently displaying 241 - 260 of 1638 publications
A NOTE ON EXTENSIONS OF MULTILINEAR MAPS DEFINED ON MULTILINEAR VARIETIES
WT Gowers, L Milićević
– Proceedings of the Edinburgh Mathematical Society
(2021)
64,
148
(doi: 10.1017/s0013091521000055)
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nat Biomed Eng
(2021)
5,
509
(doi: 10.1038/s41551-021-00704-1)
Sampling discretization of integral norms.
F Dai, A Prymak, A Shadrin, V Temlyakov, S Tikhonov
– CoRR
(2021)
54,
455
(doi: 10.1007/s00365-021-09539-0)
Dynamic spectral residual superpixels
J Zhang, AI Aviles-Rivero, D Heydecker, X Zhuang, R Chan, C-B Schönlieb
– Pattern Recognition
(2021)
112,
107705
(doi: 10.1016/j.patcog.2020.107705)
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition-Induced Hypertension: The HYPAZ Trial
KM Mäki-Petäjä, A McGeoch, LL Yang, A Hubsch, CM McEniery, PAR Meyer, F Mir, P Gajendragadkar, N Ramenatte, G Anandappa, S Santos Franco, SJ Bond, C-B Schönlieb, Y Boink, C Brune, IB Wilkinson, DI Jodrell, J Cheriyan
– Hypertension (Dallas, Tex. : 1979)
(2021)
77,
1591
(doi: 10.1161/hypertensionaha.120.16454)
Quantum state readout, collapses, probes, and signals
A Kent
– Physical Review D
(2021)
103,
064061
(doi: 10.1103/PhysRevD.103.064061)
Testing quantum gravity near measurement events
A Kent
– Physical Review D
(2021)
103,
064038
(doi: 10.1103/physrevd.103.064038)
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, C-B Schonlieb
– IEEE Transactions on Image Processing
(2021)
30,
3555
(doi: 10.1109/tip.2021.3062726)
The effects of Prandtl number on the nonlinear dynamics of Kelvin–Helmholtz instability in two dimensions
JP Parker, CP Caulfield, RR Kerswell
– Journal of Fluid Mechanics
(2021)
915,
a37
(doi: 10.1017/jfm.2021.125)
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)
Quantifying mixing and available potential energy in vertically periodic simulations of stratified flows
CJ Howland, JR Taylor, CP Caulfield
– Journal of Fluid Mechanics
(2021)
914,
a12
(doi: 10.1017/jfm.2020.979)
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
– Radiology Artificial Intelligence
(2021)
3,
e210011
(doi: 10.17863/CAM.74057)
Convergence Rates for the Quantum Central Limit Theorem.
S Becker, N Datta, L Lami, C Rouzé
– Communications in mathematical physics
(2021)
383,
223
(doi: 10.1007/s00220-021-03988-1)
Confronting Grand Challenges in environmental fluid mechanics
T Dauxois, T Peacock, P Bauer, CP Caulfield, C Cenedese, C Gorlé, G Haller, GN Ivey, PF Linden, E Meiburg, N Pinardi, NM Vriend, AW Woods
– Physical Review Fluids
(2021)
6,
020501
(doi: 10.1103/PhysRevFluids.6.020501)
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)
Defining quantum divergences via convex optimization
H Fawzi, O Fawzi
– QUANTUM
(2021)
5,
1
(doi: 10.22331/q-2021-01-26-387)
Computing conditional entropies for quantum correlations.
P Brown, H Fawzi, O Fawzi
– Nature communications
(2021)
12,
575
(doi: 10.1038/s41467-020-20018-1)
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)
Turbulence in Forced Stratified Shear Flows
KM Smith, CP Caulfield, JR Taylor
– Journal of Fluid Mechanics
(2021)
910,
a42
(doi: 10.1017/jfm.2020.994)
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 LNCS,
411
(doi: 10.1007/978-3-030-66415-2_27)

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