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  • Currently displaying 301 - 320 of 1671 publications
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
R Hložek, KA Ponder, AI Malz, M Dai, G Narayan, EEO Ishida, T Allam, A Bahmanyar, R Biswas, L Galbany, SW Jha, DO Jones, R Kessler, M Lochner, AA Mahabal, KS Mandel, JR Martínez-Galarza, JD McEwen, D Muthukrishna, HV Peiris, CM Peters, CN Setzer
(2020)
(doi: 10.48550/arxiv.2012.12392)
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
– Med Image Anal
(2020)
68,
101941
(doi: 10.1016/j.media.2020.101941)
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)
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
– CoRR
(2020)
abs/1810.10828,
101933
(doi: 10.1016/j.media.2020.101933)
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)
abs/2005.14131,
125014
(doi: 10.1088/1361-6420/abc531)
On stable reconstruction of analytic functions from Fourier samples.
СВ Конягин, АЮ Шадрин
– Trudy Instituta Matematiki I Mekhaniki Uro Ran
(2020)
26,
182
(doi: 10.21538/0134-4889-2020-26-4-182-195)
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)
Open questions in turbulent stratified mixing: Do we even know what we do not know?
C-CP Caulfield
– Physical Review Fluids
(2020)
5,
110518
(doi: 10.1103/PhysRevFluids.5.110518)
Higher-Order Total Directional Variation: Imaging Applications.
S Parisotto, J Lellmann, S Masnou, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
2063
(doi: 10.1137/19M1239209)
First cosmology results using supernovae ia from the dark energy survey: Survey overview, performance, and supernova spectroscopy
M Smith, CB D’Andrea, M Sullivan, A Möller, RC Nichol, RC Thomas, AG Kim, M Sako, FJ Castander, AV Filippenko, RJ Foley, L Galbany, S González-Gaitán, E Kasai, RP Kirshner, C Lidman, D Scolnic, D Brout, TM Davis, RR Gupta, SR Hinton, R Kessler, J Lasker, E Macaulay, RC Wolf, B Zhang, J Asorey, A Avelino, BA Bassett, J Calcino, D Carollo, R Casas, P Challis, M Childress, A Clocchiatti, S Crawford, C Frohmaier, K Glazebrook, DA Goldstein, ML Graham, JK Hoormann, K Kuehn, GF Lewis, KS Mandel, E Morganson, D Muthukrishna, P Nugent, Y-C Pan, M Pursiainen, R Sharp, NE Sommer, E Swann, BP Thomas, BE Tucker, SA Uddin, P Wiseman, W Zheng, TMC Abbott, J Annis, S Avila, K Bechtol, GM Bernstein, E Bertin, D Brooks, DL Burke, AC Rosell, MC Kind, J Carretero, CE Cunha, LN da Costa, C Davis, J De Vicente, HT Diehl, TF Eifler, J Estrada, J Frieman, J García-Bellido, E Gaztanaga, DW Gerdes, D Gruen, RA Gruendl, J Gschwend, G Gutierrez, WG Hartley, DL Hollowood, K Honscheid, B Hoyle, DJ James, MWG Johnson, MD Johnson, N Kuropatkin, TS Li, M Lima, MAG Maia, M March, JL Marshall, P Martini, F Menanteau, CJ Miller, R Miquel, E Neilsen, RLC Ogando, AA Plazas, AK Romer, E Sanchez, V Scarpine, M Schubnell, S Serrano, I Sevilla-Noarbe, M Soares-Santos, F Sobreira, E Suchyta, G Tarle, DL Tucker, W Wester
– The Astronomical Journal
(2020)
160,
267
(doi: 10.3847/1538-3881/abc01b)
Non-Asymptotic Classical Data Compression With Quantum Side Information
H-C Cheng, EP Hanson, N Datta, M-H Hsieh
– IEEE Transactions on Information Theory
(2020)
67,
902
(doi: 10.1109/tit.2020.3038517)
Scanning electron diffraction tomography of strain
R Tovey, DN Johnstone, SM Collins, WRB Lionheart, PA Midgley, M Benning, C-B Schönlieb
– Inverse Problems
(2020)
37,
015003
(doi: 10.1088/1361-6420/abc961)
PARTIAL ASSOCIATIVITY AND ROUGH APPROXIMATE GROUPS
WT Gowers, J Long
– Geometric and Functional Analysis
(2020)
30,
1583
(doi: 10.1007/s00039-020-00553-1)
Toy models of top down causation
A Kent
– Entropy (Basel)
(2020)
22,
1
(doi: 10.3390/e22111224)
Preface for the special issue 'Variational methods and effective algorithms for imaging and vision'
C-B Schönlieb, M Hintermüller, S Arridge
– Inverse Problems
(2020)
36,
110401
(doi: 10.1088/1361-6420/abb8e9)
Counting the Costs of COVID-19: Why Future Treatment Option Values Matter
A Kent
– Applied Economics and Finance
(2020)
7,
36
(doi: 10.11114/aef.v7i6.5034)
The dynamics of stratified horizontal shear flows at low Péclet number
L Cope, P Garaud, CP Caulfield
– Journal of Fluid Mechanics
(2020)
903,
a1
(doi: 10.1017/jfm.2020.600)
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, C-B Schönlieb
– Mathematical Programming
(2020)
191,
671
(doi: 10.1007/s10107-020-01566-2)
A quantitative framework for exploring exit strategies from the COVID-19 lockdown.
AS Fokas, J Cuevas-Maraver, PG Kevrekidis
– Chaos, Solitons & Fractals
(2020)
140,
110244
(doi: 10.1016/j.chaos.2020.110244)

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