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  • Currently displaying 221 - 240 of 330 publications
RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
R Li, RT Tan, L-F Cheong, AI Aviles-Rivero, Q Fan, C-B Schönlieb
– 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
00,
7303
(doi: 10.1109/iccv.2019.00740)
Artificial intelligence in clinical imaging: a health system approach
FJ Gilbert, SW Smye, C-B Schönlieb
– Clinical radiology
(2019)
75,
3
(doi: 10.1016/j.crad.2019.09.122)
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, C-B Schönlieb, TD Bennett, PA Midgley
– APL Materials
(2019)
7,
091111
(doi: 10.1063/1.5120093)
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,
(doi: 10.1063/1.5120093)
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
(2019)
(link to publication)
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,
(link to publication)
Chan-Vese Reformulation for Selective Image Segmentation.
M Roberts, J Spencer
– Journal of Mathematical Imaging and Vision
(2019)
61,
1173
(doi: 10.1007/s10851-019-00893-0)
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, N Papadakis, D Coomes, A Faul, C-B Schönlieb
– 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
(2019)
00,
592
(doi: 10.1109/IGARSS.2019.8898189)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations
LF Lang, N Dutta, E Scarpa, B Sanson, C-B Schönlieb, J Étienne
(2019)
(doi: 10.1101/686261)
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 : a publication of the IEEE Signal Processing Society
(2019)
28,
6185
(doi: 10.1109/TIP.2019.2923559)
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)
(link to publication)
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, C-B Schönlieb
– Acta Numerica
(2019)
28,
1
(doi: 10.1017/S0962492919000059)
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions
M Burger, Y Korolev, C-B Schönlieb, C Stollenwerk
– Lecture Notes in Computer Science
(2019)
11603,
485
(doi: 10.1007/978-3-030-22368-7_38)
Total Directional Variation for Video Denoising
S Parisotto, C-B 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)
An anisotropic interaction model for simulating fingerprints.
B Düring, C Gottschlich, S Huckemann, LM Kreusser, C-B Schönlieb
– J Math Biol
(2019)
78,
2171
(doi: 10.1007/s00285-019-01338-3)
Template-Based Image Reconstruction from Sparse Tomographic Data
LF Lang, S Neumayer, O Öktem, C-B Schönlieb
– Applied Mathematics and Optimization
(2019)
82,
1081
(doi: 10.1007/s00245-019-09573-2)
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, C-B Schönlieb
– Inverse Problems
(2019)
35,
055001
(doi: 10.1088/1361-6420/ab0b77)
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, C-B Schönlieb, J Weickert
– Inverse Problems
(2019)
35,
054001
(doi: 10.1088/1361-6420/ab08d2)
Accurate measurement of tropical forest canopy heights and aboveground carbon using structure from motion
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)
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion
T Swinfield, JA Lindsell, JV Williams, RD Harrison, Agustiono, Habibi, E Gemita, CB Schönlieb, DA Coomes
– Remote Sensing
(2019)
11,
928
(doi: 10.3390/rs11080928)

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