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  • Currently displaying 461 - 480 of 523 publications
Parameter selection in limited data cone-beam CT reconstruction using edge-preserving total variation algorithms
M Lohvithee, A Biguri, M Soleimani
– Physics in Medicine and Biology
(2017)
62,
9295
(doi: 10.1088/1361-6560/aa93d3)
Guidefill: GPU accelerated, artist guided geometric inpainting for 3D conversion of film
LR Hocking, R MacKenzie, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2017)
10,
2049
(doi: 10.1137/16M1103737)
Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials
SM Collins, RK Leary, PA Midgley, RJ Tovey, M Benning, C-B Schoenlieb, P Rez, MMJ Treacy
– Physical review letters
(2017)
119,
166101
(doi: 10.1103/physrevlett.119.166101)
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension
LR Hocking, T Holding, C-B Schoenlieb
(2017)
(link to publication)
A general method for motion compensation in x-ray computed tomography.
A Biguri, M Dosanjh, S Hancock, M Soleimani
– Physics in medicine and biology
(2017)
62,
6532
(doi: 10.1088/1361-6560/aa7675)
Discrete gradient methods for solving variational image regularisation models
V Grimm, RI McLachlan, DI McLaren, GRW Quispel, CB Schönlieb
– Journal of Physics A: Mathematical and Theoretical
(2017)
50,
295201
(doi: 10.1088/1751-8121/aa747c)
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)
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)
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 Ideasquare Journal of Experimental Innovation
(2017)
1,
3
(doi: 10.23726/cij.2017.457)
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 DBN-crf for spectral-spatial classification of hyperspectral data
P Zhong, Z Gong, C-B Schönlieb
– 2016 23rd International Conference on Pattern Recognition (ICPR)
(2017)
1219
(doi: 10.1109/ICPR.2016.7899803)
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)
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)
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)
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)
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,
41
(doi: 10.1007/978-3-319-58771-4_4)
Faster PET reconstruction with a stochastic primal-dual hybrid gradient method
MJ Ehrhardt, P Markiewicz, A Chambolle, P Richtárik, J Schott, C-B Schönlieb
– Proceedings of SPIE - The International Society for Optical Engineering
(2017)
10394,
58
(doi: 10.1117/12.2272946)
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)
Learning filter functions in regularisers by minimising quotients
M Benning, G Gilboa, JS Grah, C Schoenlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(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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