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  • Currently displaying 161 - 180 of 303 publications
Higher-Order Total Directional Variation: Imaging Applications.
S Parisotto, J Lellmann, S Masnou, C-B Schönlieb
– SIAM J. Imaging Sci.
(2020)
13,
2063
(doi: 10.1137/19M1239209)
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schönlieb
(2020)
(link to publication)
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
(doi: 10.1088/1361-6420/abc961)
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
(doi: 10.1088/1361-6420/abb8e9)
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
(doi: 10.1007/978-3-030-60365-6_18)
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, C-B Schönlieb
– 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
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)
(doi: 10.48550/arxiv.2008.06388)
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
(doi: 10.1109/tip.2020.3009844)
Tomographic reconstruction with spatially varying parameter selection
Y Dong, C-B Schönlieb
– 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
M Drechsler, LF Lang, L Al-Khatib, H Dirks, M Burger, C-B Schönlieb, IM Palacios
– Molecular biology of the cell
(2020)
31,
1246
(doi: 10.1091/mbc.e19-08-0440)
Variational Osmosis for Non-linear Image Fusion.
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– IEEE Trans Image Process
(2020)
29,
5507
(doi: 10.1109/tip.2020.2983537)
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
(doi: 10.1101/2020.03.25.007914)
Higher-Order Total Directional Variation: Analysis
S Parisotto, S Masnou, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
474
(doi: 10.1137/19M1239210)
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
(doi: 10.1007/s10208-020-09450-3)
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, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
351
(doi: 10.1137/19m1271907)
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
(doi: 10.1098/rsif.2019.0831)
Bregman Itoh–Abe Methods for Sparse Optimisation
M Benning, ES Riis, C-B Schönlieb
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
(doi: 10.1007/s10851-020-00944-x)
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
J Williams, C-B Schönlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
(2020)
(doi: 10.1109/tgrs.2019.2940146)
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
(doi: 10.1109/TGRS.2019.2940146)
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
C Etmann, R Ke, C-B Schönlieb
– 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
(2020)
2020-September,
1
(doi: 10.1109/MLSP49062.2020.9231874)

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