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  • Currently displaying 161 - 180 of 269 publications
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, CB Schönlieb
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI
(2019)
11769,
504
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect
R Li, R Tan, LF Cheong, A Aviles-Rivero, Q Fan, C Schoenlieb
– 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
2019-October,
7303
Artificial intelligence in clinical imaging: a health system approach.
FJ Gilbert, SW Smye, C-B Schönlieb
– Clinical Radiology
(2019)
75,
3
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
S Collins, K MacArthur, L Longley, R Tovey, M Benning, C Schoenlieb, T Bennett, P Midgley
– APL Materials
(2019)
7,
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
SM Collins, KE MacArthur, L Longley, R Tovey, M Benning, CB Schönlieb, TD Bennett, PA Midgley
– APL Materials
(2019)
7,
091111
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
V Corona, M Benning, LF Gladden, A Reci, AJ Sederman, C-B Schoenlieb
– CoRR
(2019)
abs/1908.05285,
Chan-Vese Reformulation for Selective Image Segmentation.
M Roberts, J Spencer
– Journal of Mathematical Imaging and Vision
(2019)
61,
1173
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)
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, N Papadakis, D Coomes, A Faul, CB Schonlieb
– IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
(2019)
00,
592
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal
D Heydecker, G Maierhofer, AI Aviles-Rivero, Q Fan, D Chen, C-B Schonlieb, S Susstrunk
– IEEE Transactions on Image Processing
(2019)
28,
6185
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, SM Alsaleh, RT Tan, C-B Schönlieb
(2019)
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
– Acta Numerica
(2019)
28,
1
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions
M Burger, Y Korolev, CB Schönlieb, C Stollenwerk
– SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, SSVM 2019
(2019)
11603 LNCS,
485
Total Directional Variation for Video Denoising
S Parisotto, CB Schönlieb
– SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, SSVM 2019
(2019)
11603 LNCS,
522
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
Template-Based Image Reconstruction from Sparse Tomographic Data
LF Lang, S Neumayer, O Öktem, CB Schönlieb
– Applied Mathematics & Optimization
(2019)
82,
1081
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
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
– Inverse Problems
(2019)
35,
054001