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  • Currently displaying 161 - 180 of 310 publications
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
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
J Liu, AI Aviles-Rivero, H Ji, C-B Schönlieb
– Medical image analysis
(2020)
68,
101930
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, C-B Schönlieb
– CoRR
(2020)
abs/1810.10828,
101933
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)
36,
125014
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 Parisotto, J Lellmann, S Masnou, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
2063
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schönlieb
(2020)
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'
C-B Schönlieb, M Hintermüller, 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,
187
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, C-B Schönlieb
– Mathematical Programming
(2020)
191,
671
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)
Controllable Image Processing via Adaptive FilterBank Pyramid
D Chen, Q Fan, J Liao, A Aviles-Rivero, L Yuan, N Yu, G Hua
– IEEE Transactions on Image Processing
(2020)
29,
8043
Tomographic reconstruction with spatially varying parameter selection
Y Dong, C-B 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)
29,
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
– Sci Rep
(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, C-B 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