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  • Currently displaying 41 - 60 of 336 publications
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
– Commun Med (Lond)
(2023)
3,
139
(doi: 10.1038/s43856-023-00356-z)
Deep Learning Approaches for PDE-based Image Analysis and Beyond: From the Total Variation Flow to Medieval Paper Analysis
T Großmann
(2023)
(doi: 10.17863/CAM.106705)
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
– Herit Sci
(2023)
11,
180
(doi: 10.1186/s40494-023-01013-3)
Riemannian geometry for efficient analysis of protein dynamics data
W Diepeveen, C Esteve-Yagüe, J Lellmann, O Öktem, C-B Schönlieb
(2023)
(link to publication)
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds
W Diepeveen, J Lellmann, O Oktem, CB Schonlieb
– SIAM Journal on Imaging Sciences
(2023)
16,
1440
(doi: 10.1137/22M1520773)
Common methodological pitfalls in ICI pneumonitis risk prediction studies
YK Chen, S Welsh, AM Pillay, B Tannenwald, K Bliznashki, E Hutchison, JAD Aston, C-B Schönlieb, JHF Rudd, J Jones, M Roberts
– Frontiers in Immunology
(2023)
14,
1228812
(doi: 10.3389/fimmu.2023.1228812)
Mathematics of biomedical imaging today-a perspective
MM Betcke, CB Schönlieb
– Progress in Biomedical Engineering
(2023)
5,
043002
(doi: 10.1088/2516-1091/acd973)
Shortcut Learning: Reduced But Not Resolved.
IA Selby, M Roberts, A Breger, JHF Rudd, JR Weir-McCall
– Radiology
(2023)
308,
e230379
(doi: 10.1148/radiol.230379)
Reinterpreting survival analysis in the universal approximator age
S Dittmer, M Roberts, J Preller, AIX COVNET, JHF Rudd, JAD Aston, C-B Schönlieb
(2023)
(doi: 10.48550/arxiv.2307.13579)
Stain normalization gives greater generalizability than stain jittering in neural network training for the classification of coeliac disease in duodenal biopsy whole slide images
BA Schreiber, J Denholm, JD Gilbey, C-B Schönlieb, EJ Soilleux
– Journal of Pathology Informatics
(2023)
14,
100324
(doi: 10.1016/j.jpi.2023.100324)
On Krylov methods for large-scale CBCT reconstruction
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Phys Med Biol
(2023)
68,
155008
(doi: 10.1088/1361-6560/acd616)
Convergent regularization in inverse problems and linear plug-and-play denoisers
A Hauptmann, S Mukherjee, C-B Schönlieb, F Sherry
(2023)
(link to publication)
Designing Stable Neural Networks using Convex Analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, C-B Schönlieb
(2023)
(link to publication)
Optimization of Hopf Bifurcation Points
N Boullé, PE Farrell, ME Rognes
– SIAM Journal on Scientific Computing
(2023)
45,
b390
(doi: 10.1137/22m1474448)
Modeling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim
(2023)
(link to publication)
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
(2023)
(doi: 10.48550/arxiv.2306.09177)
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 Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb
– Scientific data
(2023)
10,
493
(doi: 10.1038/s41597-023-02340-7)
Curvature corrected tangent space-based approximation of manifold-valued data
W Diepeveen, J Chew, D Needell
(2023)
(link to publication)
Navigating the development challenges in creating complex data systems.
S Dittmer, M Roberts, J Gilbey, A Biguri, I Selby, A Breger, M Thorpe, JR Weir-McCall, E Gkrania-Klotsas, A Korhonen, E Jefferson, G Langs, G Yang, H Prosch, J Stanczuk, J Tang, J Babar, L Escudero Sánchez, P Teare, M Patel, M Wassin, M Holzer, N Walton, P Lió, T Shadbahr, E Sala, J Preller, JHF Rudd, JAD Aston, CB Schönlieb
– Nature Machine Intelligence
(2023)
5,
681
(doi: 10.1038/s42256-023-00665-x)
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)

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