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  • Currently displaying 481 - 500 of 600 publications
Learning optimal spatially-dependent regularization parameters in total variation image denoising
C Van Chung, JC De los Reyes, CB Schönlieb
– Inverse Problems
(2017)
33,
074005
(doi: 10.1088/1361-6420/33/7/074005)
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: The multidisciplinary ‘VoxTox’ research programme
NG Burnet, JE Scaife, M Romanchikova, SJ Thomas, AM Bates, E Wong, DJ Noble, LEA Shelley, SJ Bond, JR Forman, ACF Hoole, GC Barnett, FM Brochu, MPD Simmons, R Jena, K Harrison, PL Yeap, A Drew, E Silvester, P Elwood, H Pullen, A Sultana, SYK Seah, MZ Wilson, SG Russell, RJ Benson, YL Rimmer, SJ Jefferies, N Taku, M Gurnell, AS Powlson, C-B Schönlieb, X Cai, MPF Sutcliffe, MA Parker
– CERN Ideasq J Exp Innov
(2017)
1,
3
(doi: 10.23726/cij.2017.457)
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification
P Zhong, Z Gong, S Li, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2017)
55,
3516
(doi: 10.1109/TGRS.2017.2675902)
Robust cardiac motion estimation using ultrafast ultrasound data: a low-rank topology-preserving approach.
AI Aviles, T Widlak, A Casals, MM Nillesen, H Ammari
– Physics in Medicine and Biology
(2017)
62,
4831
(doi: 10.1088/1361-6560/aa6914)
A soft sensor for the Bayer process
V Cregan, WT Lee, L Clune
– Journal of Mathematics in Industry
(2017)
7,
7
(doi: 10.1186/s13362-017-0037-9)
A DBN-crf for spectral-spatial classification of hyperspectral data
P Zhong, Z Gong, C-B Schönlieb
– Proceedings International Conference on Pattern Recognition
(2017)
1219
(doi: 10.1109/icpr.2016.7899803)
Infimal Convolution Regularisation Functionals of $\mathrm {BV}$ and $\mathrm {L}^{p}$ Spaces. The Case $p=\infty $
M Burger, K Papafitsoros, E Papoutsellis, C-B Schönlieb
– IFIP Advances in Information and Communication Technology
(2017)
494,
169
(doi: 10.1007/978-3-319-55795-3_15)
Preconditioned ADMM with Nonlinear Operator Constraint
M Benning, F Knoll, C-B Schönlieb, T Valkonen
– IFIP Advances in Information and Communication Technology
(2017)
494,
117
(doi: 10.1007/978-3-319-55795-3_10)
Modelling chemistry and biology after implantation of a drug-eluting stent. Part Ⅰ: Drug transport
T Vo, W Lee, A Peddle, M Meere
– Mathematical biosciences and engineering : MBE
(2017)
13,
491
(doi: 10.3934/mbe.2017030)
Mathematical modelling of contact lens moulding
EA Murphy, WT Lee
– IMA Journal of Applied Mathematics
(2017)
82,
473
(doi: 10.1093/imamat/hxw060)
Slow and fast diffusion in a lead sulphate gravity separation process
V Cregan, WT Lee
– Journal of Physics Conference Series
(2017)
811,
012001
(doi: 10.1088/1742-6596/811/1/012001)
Specifying An Efficient Renewable Energy Feed-in Tariff
N Farrell, MT Devine, WT Lee, JP Gleeson, S Lyons
– The Energy Journal
(2017)
38,
53
(doi: 10.5547/01956574.38.2.nfar)
Optimising feed-in tariff design through efficient risk allocation
MT Devine, N Farrell, WT Lee
– Sustainable Energy Grids and Networks
(2017)
9,
59
(doi: 10.1016/j.segan.2016.12.003)
Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy.
JS Grah, JA Harrington, SB Koh, JA Pike, A Schreiner, M Burger, C-B Schönlieb, S Reichelt
– Methods
(2017)
115,
91
(doi: 10.1016/j.ymeth.2017.02.001)
Equivalence of Models of Freeze-Drying
M Veneva, W Lee
– Studies in Computational Intelligence
(2017)
681,
231
(doi: 10.1007/978-3-319-49544-6_19)
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images
L Calatroni, Y van Gennip, C-B Schönlieb, HM Rowland, A Flenner
– Journal of Mathematical Imaging and Vision
(2017)
57,
269
(doi: 10.1007/s10851-016-0678-0)
Infimal convolution of data discrepancies for mixed noise removal
L Calatroni, JC De Los Reyes, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2017)
10,
1196
(doi: 10.1137/16M1101684)
Nonlinear Spectral Image Fusion
M Benning, M Möller, RZ Nossek, M Burger, D Cremers, G Gilboa, C-B Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2017)
10302 LNCS,
41
(doi: 10.1007/978-3-319-58771-4_4)
Learning filter functions in regularisers by minimising quotients
M Benning, G Gilboa, JS Grah, C Schoenlieb
– Lecture Notes in Computer Science
(2017)
10302 LNCS,
511
(doi: 10.1007/978-3-319-58771-4_41)
Preface for Inverse Problems special issue on learning and inverse problems
C-B Schönlieb, JC De los Reyes, E Haber
– Inverse Problems
(2017)
33,
070301
(doi: 10.1088/1361-6420/aa7429)

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