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  • Currently displaying 141 - 160 of 277 publications
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
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
– Mathematical Programming
(2020)
191,
671
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
C Etmann, R Ke, CB Schonlieb
– 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
(2020)
2020-September,
1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, JHF Rudd, E Sala, C-B Schönlieb
(2020)
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
C Runkel, S Dorenkamp, H Bauermeister, M Moeller
– 2020 25th International Conference on Pattern Recognition (ICPR)
(2020)
00,
5246
Tomographic reconstruction with spatially varying parameter selection
Y Dong, CB Schönlieb
– Inverse Problems
(2020)
36,
054002
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte.
M Drechsler, LF Lang, L Al-Khatib, H Dirks, M Burger, C-B Schönlieb, IM Palacios
– Molecular Biology of the Cell
(2020)
31,
1246
Variational Osmosis for Non-Linear Image Fusion
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– IEEE Transactions on Image Processing
(2020)
abs/1910.02012,
5507
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning
JI Orlando, BS Gerendas, S Riedl, C Grechenig, A Breger, M Ehler, SM Waldstein, H Bogunović, U Schmidt-Erfurth
– Scientific Reports
(2020)
10,
5619
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
(2020)
2020.03.25.007914
Higher-Order Total Directional Variation: Analysis.
S Parisotto, S Masnou, CB Schönlieb
– SIAM J. Imaging Sci.
(2020)
13,
474
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them
LR Hocking, T Holding, C-B Schoenlieb
– Foundations of Computational Mathematics
(2020)
20,
1549
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
N Debroux, J Aston, F Bonardi, A Forbes, C Le Guyader, M Romanchikova, CB Schonlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
351
A hybrid analytical-numerical algorithm for determining the neuronal current via electroencephalography
P Hashemzadeh, AS Fokas, CB Schönlieb
– Journal of the Royal Society Interface
(2020)
17,
20190831
Bregman Itoh--Abe methods for sparse optimisation
M Benning, ES Riis, CB Schönlieb
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
3D Segmentation of Trees through a Flexible Multiclass Graph Cut Algorithm
J Williams, CB Schonlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
(2020)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
J Williams, C Schoenlieb, T Swinfield, J Lee, X Cai, L Qie, D Coomes
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
754
A multi-contrast MRI approach to thalamus segmentation.
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Human brain mapping
(2020)
41,
2104
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
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction
C Delplancke, M Gurnell, J Latz, PJ Markiewicz, CB Schönlieb, MJ Ehrhardt
– 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference NSS Mic 2020
(2020)
00,
1