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- Currently displaying 161 - 180 of 310 publications
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution
– Medical Image Analysis
(2020)
68,
101941
(doi: 10.1016/j.media.2020.101941)
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
– Medical image analysis
(2020)
68,
101930
(doi: 10.1016/j.media.2020.101930)
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
– CoRR
(2020)
abs/1810.10828,
101933
(doi: 10.1016/j.media.2020.101933)
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
– Inverse problems
(2020)
36,
125014
(doi: 10.1088/1361-6420/abc531)
Learning the Sampling Pattern for MRI.
– IEEE transactions on medical imaging
(2020)
39,
4310
(doi: 10.1109/TMI.2020.3017353)
Higher-Order Total Directional Variation: Imaging Applications.
– SIAM Journal on Imaging Sciences
(2020)
13,
2063
(doi: 10.1137/19m1239209)
Scanning electron diffraction tomography of strain
– Inverse Problems
(2020)
37,
015003
(doi: 10.1088/1361-6420/abc961)
Preface for the special issue 'Variational methods and effective algorithms for imaging and vision'
– Inverse Problems
(2020)
36,
110401
(doi: 10.1088/1361-6420/abb8e9)
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2020)
12443,
187
(doi: 10.1007/978-3-030-60365-6_18)
Accelerating variance-reduced stochastic gradient methods
– Mathematical Programming
(2020)
191,
671
(doi: 10.1007/s10107-020-01566-2)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
(2020)
(doi: 10.48550/arxiv.2008.06388)
Controllable Image Processing via Adaptive FilterBank Pyramid
– IEEE Transactions on Image Processing
(2020)
29,
8043
(doi: 10.1109/TIP.2020.3009844)
Tomographic reconstruction with spatially varying parameter selection
– Inverse Problems
(2020)
36,
054002
(doi: 10.1088/1361-6420/ab72d4)
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte.
– Molecular Biology of the Cell
(2020)
31,
1246
(doi: 10.1091/mbc.E19-08-0440)
Variational Osmosis for Non-Linear Image Fusion
– IEEE Transactions on Image Processing
(2020)
29,
5507
(doi: 10.1109/tip.2020.2983537)
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning.
– Sci Rep
(2020)
10,
5619
(doi: 10.1038/s41598-020-62329-9)
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
(2020)
2020.03.25.007914
(doi: 10.1101/2020.03.25.007914)
Higher-order total directional variation: Analysis
– SIAM J. Imaging Sci.
(2020)
13,
474
(doi: 10.1137/19m1239210)
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them
– Foundations of Computational Mathematics
(2020)
20,
1549
(doi: 10.1007/s10208-020-09450-3)