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  • Currently displaying 201 - 220 of 303 publications
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
– International Geoscience and Remote Sensing Symposium IGARSS
(2019)
00,
592
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)
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 Trans Image Process
(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, C-B Schönlieb
– Acta Numerica
(2019)
28,
1
Total Directional Variation for Video Denoising
S Parisotto, C-B Schönlieb
– Lecture Notes in Computer Science
(2019)
11603,
522
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
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, C-B 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, C-B Schönlieb
– Inverse Problems
(2019)
35,
055001
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, C-B Schönlieb, J Weickert
– Inverse Problems
(2019)
35,
054001
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
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
Decoding the inter-dependence 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
(2019)
21,
442
ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic images
SM Alsaleh, AI Aviles-Rivero, JK Hahn
– Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
(2019)
73,
39
Optical flow analysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules in theDrosophilaoocyte
M Drechsler, LF Lang, L Al-Khatib, H Dirks, M Burger, C-B Schönlieb, IM Palacios
(2019)
556043
Directional sinogram inpainting for limited angle tomography
R Tovey, M Benning, C Brune, MJ Lagerwerf, SM Collins, RK Leary, PA Midgley, C-B Schönlieb
– Inverse Problems
(2019)
35,
024004
Mini-Workshop: Deep Learning and Inverse Problems
SR Arridge, MV de Hoop, P Maaß, C-B Schönlieb
– Oberwolfach Reports
(2019)
15,
559
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
V Corona, AI Aviles-Rivero, N Debroux, M Graves, C Le Guyader, C-B Schönlieb, G Williams
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
263
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
P Liu, C Li, C-B Schönlieb
(2019)
11766 LNCS,
110