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  • Currently displaying 381 - 400 of 599 publications
Spatial resolution of a laboratory based X-Ray cone-beam laminography scanning system for various trajectories
H Deyhle, H Towsyfyan, A Biguri, M Mavrogordato, R Boardman, T Blumensath
– NDT & E International
(2020)
111,
102222
Variational Osmosis for Non-Linear Image Fusion
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
(2020)
abs/1910.02012,
5507
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, C-B Schönlieb, O Öktem, SHW Scheres
(2020)
2020.03.25.007914
Higher-order total directional variation: Analysis
S Parisotto, S Masnou, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
474
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them
LR Hocking, T Holding, C-B Schoenlieb
– Foundations of Computational Mathematics
(2020)
20,
1549
Systematically Improving Espresso: Insights from Mathematical Modeling and Experiment
MI Cameron, D Morisco, D Hofstetter, E Uman, J Wilkinson, ZC Kennedy, SA Fontenot, WT Lee, CH Hendon, JM Foster
– Matter
(2020)
2,
631
Successes and challenges in non-destructive testing of aircraft composite structures
H TOWSYFYAN, A BIGURI, R BOARDMAN, T BLUMENSATH
– Chinese Journal of Aeronautics
(2020)
33,
771
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
N Debroux, J Aston, F Bonardi, A Forbes, C Le Guyader, M Romanchikova, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
351
A hybrid analytical-numerical algorithm for determining the neuronal current via electroencephalography
P Hashemzadeh, AS Fokas, CB Schönlieb
– Journal of the Royal Society Interface
(2020)
17,
20190831
Bregman Itoh–Abe Methods for Sparse Optimisation
M Benning, ES Riis, C-B Schönlieb
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
3D Segmentation of Trees through a Flexible Multiclass Graph Cut Algorithm
J Williams, C-B Schönlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
(2020)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
J Williams, C Schoenlieb, T Swinfield, J Lee, X Cai, L Qie, D Coomes
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
754
Partial differential equations and variational methods for geometric processing of images
B Buet, J-M Mirebeau, Y van Gennip, F Desquilbet, J Dreo, F Barbaresco, GP Leonardi, S Masnou, C-B Schönlieb
– SMAI Journal of Computational Mathematics
(2020)
S5,
109
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
C Etmann, R Ke, C-B Schönlieb
– PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
(2020)
00,
1
A multi-contrast MRI approach to thalamus segmentation.
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Human Brain Mapping
(2020)
41,
2104
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems
(2020)
2020-December,
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
M Roberts, D Driggs, M Thorpe, JD Gilbey, M Yeung, S Ursprung, AI Avilés-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, JHF Rudd, E Sala, C-B Schönlieb
– CoRR
(2020)
abs/2008.06388,
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
– 37th International Conference on Machine Learning Icml 2020
(2020)
PartF168147-14,
10089
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
(2019)