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  • Currently displaying 1 - 20 of 162 publications
A multi-contrast MRI approach to thalamus segmentation.
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Human Brain Mapping
(2020)
abs/1807.10757,
hbm.24933
(DOI: 10.1002/hbm.24933)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, A Aviles-Rivero, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
1
(DOI: 10.1109/tgrs.2019.2961599)
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
(DOI: 10.1109/tip.2019.2923559)
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
MJ Ehrhardt, P Markiewicz, C-B Schönlieb
– Phys Med Biol
(2019)
64,
225019
(DOI: 10.1088/1361-6560/ab3d07)
Stability Analysis of Line Patterns of an Anisotropic Interaction Model
JA Carrillo, B During, LM Kreusser, CB Schonlieb
– SIAM Journal on Applied Dynamical Systems
(2019)
18,
1798
(DOI: 10.1137/18m1181638)
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
(DOI: 10.1063/1.5120093)
Convergence rates of Forward--Douglas--Rachford splitting method
C Molinari, J Liang, J Fadili
– Journal of Optimization Theory and Applications
(2019)
182,
606
(DOI: 10.1007/s10957-019-01524-9)
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)
(DOI: 10.1101/686261)
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, CB Schönlieb
– Applied Mathematics and Optimization
(2019)
1
(DOI: 10.1007/s00245-019-09573-2)
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
– Acta Numerica
(2019)
28,
1
(DOI: 10.1017/s0962492919000059)
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
(DOI: 10.1088/1361-6420/ab0b77)
Anisotropic osmosis filtering for shadow removal in images
S Parisotto, L Calatroni, M Caliari, CB Schönlieb, J Weickert
– Inverse Problems
(2019)
35,
054001
(DOI: 10.1088/1361-6420/ab08d2)
Decoding the Interdependence 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
(DOI: 10.1016/j.neo.2019.03.005)
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 Schonlieb, DA Coomes
– Remote Sensing
(2019)
11,
928
(DOI: 10.3390/rs11080928)
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)
Optical flow analysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules
M Drechsler, L Lang, H Dirks, M Burger, C-B Schönlieb, I Palacios
(2019)
(DOI: 10.1101/556043)
Directional Sinogram Inpainting for Limited Angle Tomography
R Tovey, M Benning, C Brune, MJ Lagerwerf, SM Collins, RK Leary, PA Midgley, CB Schönlieb
– Inverse Problems
(2019)
35,
024004
(DOI: 10.1088/1361-6420/aaf2fe)
Variational Osmosis for Non-linear Image Fusion.
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schönlieb
– CoRR
(2019)
abs/1910.02012,
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
P Liu, C Li, CB Schönlieb
(2019)
11766,
110
(DOI: 10.1007/978-3-030-32248-9_13)

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