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  • Currently displaying 241 - 260 of 303 publications
Peekaboo-Where are the Objects? Structure Adjusting Superpixels
G Maierhofer, D Heydecker, AI Aviles-Rivero, SM Alsaleli, C-B Schonlieb
– 2018 25th IEEE International Conference on Image Processing (ICIP)
(2018)
00,
3693
(doi: 10.1109/ICIP.2018.8451822)
Pattern formation of a nonlocal, anisotropic interaction model
M Burger, B Düring, LM Kreusser, PA Markowich, CB Schönlieb
– Mathematical Models and Methods in Applied Sciences
(2017)
28,
409
(doi: 10.1142/S0218202518500112)
Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
MJ Ehrhardt, L Bungert, D Coomes, C Schoenlieb, J Rasch, R Reisenhofer
(2017)
Choose your path wisely: gradient descent in a Bregman distance framework
M Benning, MM Betcke, MJ Ehrhardt, C-B Schönlieb
(2017)
(link to publication)
Introduction: Big data and partial differential equations†
Y Van Gennip, CB Schönlieb
– European Journal of Applied Mathematics
(2017)
28,
877
(doi: 10.1017/S0956792517000304)
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)
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)
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)
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
– Phys Med Biol
(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
– 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)
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)
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,
511
(doi: 10.1007/978-3-319-58771-4_41)
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)

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