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  • Currently displaying 161 - 180 of 312 publications
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)
Bifurcation analysis of stationary solutions of two-dimensional coupled Gross–Pitaevskii equations using deflated continuation
EG Charalampidis, N Boullé, PE Farrell, PG Kevrekidis
– Communications in Nonlinear Science and Numerical Simulation
(2020)
87,
105255
(doi: 10.1016/j.cnsns.2020.105255)
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)
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
(doi: 10.1109/icpr48806.2021.9412952)
Tomographic reconstruction with spatially varying parameter selection
Y Dong, CB Schönlieb
– Inverse Problems
(2020)
36,
054002
(doi: 10.1088/1361-6420/ab72d4)
Deflation-based Identification of Nonlinear Excitations of the 3D Gross--Pitaevskii equation
N Boullé, EG Charalampidis, PE Farrell, PG Kevrekidis
(2020)
(link to publication)
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in theDrosophilaoocyte
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)
Rational neural networks
N Boullé, Y Nakatsukasa, A Townsend
(2020)
(link to publication)
Variational Osmosis for Non-linear Image Fusion.
S Parisotto, L Calatroni, A Bugeau, N Papadakis, C-B Schonlieb
– CoRR
(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, CB 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, CB Schonlieb
– 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, CB Schönlieb
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
(doi: 10.1007/s10851-020-00944-x)
Classification of chaotic time series with deep learning
N Boullé, V Dallas, Y Nakatsukasa, D Samaddar
– Physica D: Nonlinear Phenomena
(2020)
403,
132261
(doi: 10.1016/j.physd.2019.132261)
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)
(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)
A multi‐contrast MRI approach to thalamus segmentation
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Hum Brain Mapp
(2020)
abs/1807.10757,
2104
(doi: 10.1002/hbm.24933)
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
(doi: 10.1109/TGRS.2019.2961599)

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