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  • Currently displaying 1 - 20 of 121 publications
Convergence rates of Forward--Douglas--Rachford splitting method
C Molinari, J Liang, J Fadili
– Journal of Optimization Theory and Applications
(2019)
182,
606
(DOI: 10.1007/s10957-019-01524-9)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations
L Lang, N Dutta, E Scarpa, B Sanson, C-B Schönlieb, J Étienne
(2019)
(DOI: 10.1101/686261)
An anisotropic interaction model for simulating fingerprints
B Düring, C Gottschlich, S Huckemann, LM Kreusser, C-B Schönlieb
– Journal of mathematical biology
(2019)
78,
2171
(DOI: 10.1007/s00285-019-01338-3)
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals.
C Li, S Wang, P Liu, T Torheim, NR Boonzaier, BR van Dijken, C-B Schönlieb, F Markowetz, SJ Price
– Neoplasia (United States)
(2019)
21,
442
(DOI: 10.1016/j.neo.2019.03.005)
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
– Inverse Problems
(2019)
35,
054001
(DOI: 10.1088/1361-6420/ab08d2)
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration
V Corona, M Benning, MJ Ehrhardt, LF Gladden, R Mair, A Reci, AJ Sederman, S Reichelt, CB Schönlieb
– Inverse Problems
(2019)
35,
055001
(DOI: 10.1088/1361-6420/ab0b77)
Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand
T Swinfield, JA Lindsell, JV Williams, RD Harrison, Agustiono, Habibi, E Gemita, CB Schönlieb, DA Coomes
– Remote Sensing
(2019)
11,
955
(DOI: 10.3390/rs11080955)
Directional sinogram inpainting for limited angle tomography
R Tovey, M Benning, C Brune, MJ Lagerwerf, SM Collins, RK Leary, PA Midgley, CB Schönlieb
– Inverse Problems
(2019)
35,
024004
(DOI: 10.1088/1361-6420/aaf2fe)
Template-Based Image Reconstruction from Sparse Tomographic Data
LF Lang, S Neumayer, O Öktem, CB Schönlieb
– Applied Mathematics and Optimization
(2019)
(DOI: 10.1007/s00245-019-09573-2)
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions
M Burger, Y Korolev, CB Schönlieb, C Stollenwerk
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
485
(DOI: 10.1007/978-3-030-22368-7_38)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
V Corona, AI Aviles-Rivero, N Debroux, M Graves, C Le Guyader, CB Schönlieb, G Williams
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
263
(DOI: 10.1007/978-3-030-22368-7_21)
Total Directional Variation for Video Denoising
S Parisotto, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
522
(DOI: 10.1007/978-3-030-22368-7_41)
Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint
S Park, M Thorpe
– 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
(2018)
7864
(DOI: 10.1109/cvpr.2018.00820)
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts.
L Calatroni, M d'Autume, R Hocking, S Panayotova, S Parisotto, P Ricciardi, C-B Schönlieb
– Heritage Science
(2018)
6,
56
(DOI: 10.1186/s40494-018-0216-z)
Faster FISTA
J Liang, CB Schönlieb
– European Signal Processing Conference
(2018)
2018-September,
732
(DOI: 10.23919/EUSIPCO.2018.8553411)
Liquid phase blending of metal-organic frameworks (vol 9, 2135, 2018)
L Longley, SM Collins, C Zhou, GJ Smales, SE Norman, NJ Brownbill, CW Ashling, PA Chater, R Tovey, C-B Schönlieb, TF Headen, NJ Terrill, Y Yue, AJ Smith, F Blanc, DA Keen, PA Midgley, TD Bennett
– Nature Communications
(2018)
9,
4402
(DOI: 10.1038/s41467-018-07000-8)
Supplementary material for "local convergence properties of SAGA/Prox-SVRG and acceleration"
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6594
Local convergence properties of SAGA/Prox-SVRG and acceleration
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6585
Automated Textural Classification of Osteoarthritis Magnetic Resonance Images
JD Kaggie, R Tovey, J MacKay, F Gilbert, F Gallagher, A McCaskie, M Graves
(2018)
Liquid phase blending of metal-organic frameworks
L Longley, SM Collins, C Zhou, GJ Smales, SE Norman, NJ Brownbill, CW Ashling, PA Chater, R Tovey, C-B Schönlieb, TF Headen, NJ Terrill, Y Yue, AJ Smith, F Blanc, DA Keen, PA Midgley, TD Bennett
– Nat Commun
(2018)
9,
2135
(DOI: 10.1038/s41467-018-04553-6)

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