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  • Currently displaying 201 - 220 of 330 publications
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
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
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
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)
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
– Hum Brain Mapp
(2020)
abs/1807.10757,
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
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
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems
(2020)
2020-December,
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
(2019)
Linkage between piecewise constant mumford-shah model and rudin-osher-fatemi model and its virtue in image segmentation
X Cai, R Chan, C-B Schönlieb, G Steidl, T Zeng
– SIAM Journal on Scientific Computing
(2019)
41,
b1310
Deep learning as optimal control problems: Models and numerical methods
M Benning, E Celledoni, MJ Ehrhardt, B Owren, C-B Schönlieb
– Journal of Computational Dynamics
(2019)
6,
179
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
MJ Ehrhardt, P Markiewicz, C-B Schönlieb
– Physics in Medicine & Biology
(2019)
64,
225019
Stability Analysis of Line Patterns of an Anisotropic Interaction Model
JA Carrillo, B Düring, LM Kreusser, C-B Schönlieb
– SIAM Journal on Applied Dynamical Systems
(2019)
18,
1798
On an effective multigrid solver for solving a class of variational problems with application to image segmentation
M Roberts, K Chen, J Li, KL Irion
– International Journal of Computer Mathematics
(2019)
97,
2015
GraphX$^\mathbf{\small NET } -$ Chest X-Ray Classification Under Extreme Minimal Supervision
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, C-B Schönlieb
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI
(2019)
11769 LNCS,
504