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  • Currently displaying 21 - 40 of 205 publications
Assessing Robustness of Carotid Artery CT Angiography Radiomics in the Identification of Culprit lesions in Cerebrovascular Events
EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, H Pavey, C Wall, F Zaccagna, FA Gallagher, Y Huang, R Sriranjan, A Le, JR Weir-McCall, M Roberts, FJ Gilbert, EA Warburton, C-B Schönlieb, E Sala, JHF Rudd
– Scientific Reports
(2021)
11,
3499
Learning to Segment Microscopy Images with Lazy Labels
R Ke, A Bugeau, N Papadakis, P Schuetz, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
12535 LNCS,
411
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, C-B Schonlieb
– IEEE Transactions on Image Processing
(2021)
30,
3555
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement
ML Hanel, CB Schonlieb
– IEEE Sensors Journal
(2021)
PP,
1
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, C-B Schönlieb, O Öktem, SHW Scheres
– IUCrJ
(2021)
8,
60
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution.
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
– Medical image analysis
(2020)
68,
101941
Variational regularisation for inverse problems with imperfect forward operators and general noise models
L Bungert, M Burger, Y Korolev, C-B Schönlieb
– Inverse problems
(2020)
abs/2005.14131,
125014
Data driven regularization by projection
A Aspri, Y Korolev, O Scherzer
– Inverse Problems
(2020)
36,
125009
EFFICIENT PRECONDITIONING for TIME FRACTIONAL DIFFUSION INVERSE SOURCE PROBLEMS
R Ke, MK Ng, T Wei
– SIAM Journal on Matrix Analysis and Applications
(2020)
41,
1857
Learning the Sampling Pattern for MRI
F Sherry, M Benning, JC De Los Reyes, MJ Graves, G Maierhofer, G Williams, C-B Schonlieb, MJ Ehrhardt
– IEEE transactions on medical imaging
(2020)
39,
4310
Higher-Order Total Directional Variation: Imaging Applications.
S Parisottoy, J Lellmannz, S Masnoux, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
2063
Structural analysis of an $L$-infinity variational problem and relations to distance functions
L Bungert, Y Korolev, M Burger
– Pure and Applied Analysis
(2020)
2,
703
Scanning electron diffraction tomography of strain
R Tovey, DN Johnstone, SM Collins, WRB Lionheart, PA Midgley, M Benning, C-B Schönlieb
– Inverse Problems
(2020)
37,
015003
Preface for the special issue 'Variational methods and effective algorithms for imaging and vision'
CB Schonlieb, M Hintermuller, S Arridge
– Inverse Problems
(2020)
36,
110401
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification
M de Vriendt, P Sellars, AI Aviles-Rivero
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2020)
12443 LNCS,
187
The oriented mailing problem and its convex relaxation
M Carioni, A Marchese, A Massaccesi, A Pluda, R Tione
– Nonlinear Analysis
(2020)
199,
112035
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
– Mathematical Programming
(2020)
1
IUNets: Learnable invertible up-and downsampling for large-scale inverse problems
C Etmann, R Ke, CB Schonlieb
– PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
(2020)
2020-September,
1
Calibrations for minimal networks in a covering space setting
M Carioni, A Pluda
– ESAIM - Control, Optimisation and Calculus of Variations
(2020)
26,
40
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, CB Schonlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180