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  • Currently displaying 1 - 20 of 286 publications
Adaptive mixed FEM combined with the method of characteristics for stationary convection–diffusion–reaction problems
MC Antony Oliver, M González
– Finite Elements in Analysis and Design
Contrastive Registration for Unsupervised Medical Image Segmentation.
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE transactions on neural networks and learning systems
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Liò, C-B Schönlieb, AI Aviles-Rivero
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks
M Eliasof, D Murari, F Sherry, C-B Schönlieb
Multi-Modal Learning for Predicting the Genotype of Glioma.
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE transactions on medical imaging
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
Elliptic PDE learning is provably data-efficient.
N Boullé, D Halikias, A Townsend
– Proceedings of the National Academy of Sciences of the United States of America
The Impact of Imputation Quality on Machine Learning Classifier Performance for Datasets with Missing Values
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Communications Medicine
Extracting Chain Lines and Laid Lines from Digital Images of Medieval Paper using Spectral Total Variation Decomposition
T Großmann, C-B Schönlieb, O Da Rold
– Heritage Science
Riemannian geometry for efficient analysis of protein dynamics data
W Diepeveen, C Esteve-Yagüe, J Lellmann, O Öktem, C-B Schönlieb
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds
W Diepeveen, J Lellmann, O Öktem, C-B Schönlieb
– SIAM Journal on Imaging Sciences
Mathematics of biomedical imaging today-a perspective
MM Betcke, CB Schönlieb
– Progress in Biomedical Engineering
Shortcut Learning: Reduced But Not Resolved
IA Selby, M Roberts, A Breger, JHF Rudd, JR Weir-McCall
– Radiology
Reinterpreting survival analysis in the universal approximator age
S Dittmer, M Roberts, J Preller, AIX COVNET, JHF Rudd, JAD Aston, C-B Schönlieb
On Krylov methods for large-scale CBCT reconstruction.
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Physics in medicine and biology
Convergent regularization in inverse problems and linear plug-and-play denoisers
A Hauptmann, S Mukherjee, C-B Schönlieb, F Sherry
Designing Stable Neural Networks using Convex Analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, C-B Schönlieb
Modeling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
D Kreuter, S Tull, J Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, N Gleadall, M Roberts
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data.
A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sánchez, AIX-COVNET Collaboration, JHF Rudd, JAD Aston, JR Weir-McCall, E Sala, C-B Schönlieb
– Sci Data