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  • Currently displaying 141 - 160 of 313 publications
Accurate numerical simulation of electrodiffusion and water movement in brain tissue
AJ Ellingsrud, N Boullé, PE Farrell, ME Rognes
(2021)
(link to publication)
Learning elliptic partial differential equations with randomized linear algebra
N Boullé, A Townsend
(2021)
(link to publication)
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, A Ruggiero, A Korhonen, E Jefferson, E Ako, G Langs, G Gozaliasl, G Yang, H Prosch, J Preller, J Stanczuk, J Tang, J Hofmanninger, J Babar, LE Sánchez, M Thillai, PM Gonzalez, P Teare, X Zhu, M Patel, C Cafolla, H Azadbakht, J Jacob, J Lowe, K Zhang, K Bradley, M Wassin, M Holzer, K Ji, MD Ortet, T Ai, N Walton, P Lio, S Stranks, T Shadbahr, W Lin, Y Zha, Z Niu, JHF Rudd, E Sala, CB Schönlieb
– Nature Machine Intelligence
(2021)
3,
199
(doi: 10.1038/s42256-021-00307-0)
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
(doi: 10.1038/s41598-021-82760-w)
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
(doi: 10.1007/978-3-030-66415-2_27)
Machine churning
M Roberts
– NEW SCIENTIST
(2021)
245,
23
(link to publication)
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
(doi: 10.1107/s2052252520014384)
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
(doi: 10.1016/j.media.2020.101941)
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
– Med Image Anal
(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
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, C-B Schönlieb
– Med Image Anal
(2020)
68,
101933
(doi: 10.1016/j.media.2020.101933)
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
(doi: 10.1109/TMI.2020.3017353)
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
(doi: 10.1088/1361-6420/abc531)
Higher-Order Total Directional Variation: Imaging Applications
S Parisottoy, J Lellmannz, S Masnoux, CB Schönlieb
– SIAM Journal on Imaging Sciences
(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)
Deflation-based identification of nonlinear excitations of the three-dimensional Gross-Pitaevskii equation
N Boullé, EG Charalampidis, PE Farrell, PG Kevrekidis
– Physical Review A
(2020)
102,
053307
(doi: 10.1103/physreva.102.053307)
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
(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 LNCS,
187
(doi: 10.1007/978-3-030-60365-6_18)
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
– Mathematical Programming
(2020)
191,
671
(doi: 10.1007/s10107-020-01566-2)
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
(doi: 10.1109/MLSP49062.2020.9231874)

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