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  • Currently displaying 81 - 100 of 336 publications
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, AIX-COVNET Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
(2022)
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
(2022)
Regularising orientation estimation in Cryo-EM 3D map refinement through measure-based lifting over Riemannian manifolds
W Diepeveen, J Lellmann, O Öktem, C-B Schönlieb
(2022)
Imaging with Equivariant Deep Learning
D Chen, M Davies, MJ Ehrhardt, C-B Schönlieb, F Sherry, J Tachella
(2022)
Two-Component 3D Atomic Bose-Einstein Condensates Support Complex Stable Patterns
N Boullé, I Newell, PE Farrell, PG Kevrekidis
(2022)
Unsupervised Image Restoration Using Partially Linear Denoisers.
R Ke, C-B Schonlieb
– IEEE Transactions on Pattern Analysis and Machine Intelligence
(2022)
44,
5796
Learning Green’s functions associated with time-dependent partial differential equations
N Boullé, S Kim, T Shi, A Townsend
– Journal of Machine Learning Research
(2022)
23,
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torne, E Sala, P Lio, M Patel, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
(2022)
Label-free prediction of cell painting from brightfield images.
JO Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
– Scientific Reports
(2022)
12,
10001
Unsupervised Learning of the Total Variation Flow
TG Grossmann, S Dittmer, Y Korolev, C-B Schönlieb
(2022)
146 Ct radiomics in carotid artery atherosclerosis: a systematic evaluation of robustness, reproducibility and predictive performance for culprit lesions
E Le, L Rundo, J Tarkin, N Evans, M Chowdhury, P Coughlin, H Pavey, C Wall, F Zaccagna, F Gallagher, Y Huang, R Sriranjan, A Le, J Weir-McCall, M Roberts, F Gilbert, E Warburton, C-B Schonlieb, E Sala, J Rudd
– Imaging
(2022)
108,
a112.1
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Y Nan, JD Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, J Owen, J Neville, J Guiot, B Ernst, A Pastor, A Alberich-Bayarri, MI Menzel, S Walsh, W Vos, N Flerin, J-P Charbonnier, E van Rikxoort, A Chatterjee, H Woodruff, P Lambin, L Cerdá-Alberich, L Martí-Bonmatí, F Herrera, G Yang
– Information Fusion
(2022)
82,
99
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
– Inverse Problems
(2022)
38,
075006
Bifurcation analysis of two-dimensional Rayleigh-Bénard convection using deflation.
N Boullé, V Dallas, PE Farrell
– Physical review. E
(2022)
105,
055106
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
J Liang, T Luo, CB Schonlieb
– SIAM Journal on Scientific Computing
(2022)
44,
a1069
Learning Green's functions associated with time-dependent partial differential equations
N Boullé, S Kim, T Shi, A Townsend
(2022)
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence (vol 3, pg 1081, 2021)
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, LE Sanchez, E Sala, DL Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C Schönlieb, T Xia
– Nature machine intelligence
(2022)
4,
413
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MICCAI 2022
(2022)
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review
N Sushentsev, N Moreira Da Silva, M Yeung, T Barrett, E Sala, M Roberts, L Rundo
– Insights into Imaging
(2022)
13,
59