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  • Currently displaying 41 - 60 of 330 publications
Improving the generalisation of radiographic AI using automated data curation to mitigate shortcut learning
I Selby, EG Solares, A Breger, M Roberts, LE Sánchez, J Rudd, N Walton, J Babar, C-B Schönlieb, E Sala, J Weir-McCall
– The Royal College of Radiologists Open
(2025)
3,
100232
(doi: 10.1016/j.rcro.2024.100232)
SpeedyAnnotate: An Intuitive and Open-Source Tool for Efficient Image Annotation and Quality Comparison
I Selby, A Breger, M Roberts, LE Sánchez, J Babar, J Rudd, E Sala, C-B Schönlieb, J Weir-McCall
– The Royal College of Radiologists Open
(2025)
3,
100233
(doi: 10.1016/j.rcro.2024.100233)
Symplectic Neural Flows for Modeling and Discovery
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)
(link to publication)
A study on the adequacy of common IQA measures for medical images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
– Springer Lecture Notes in Electrical Engineering, MICAD conference (2024)
(2024)
(doi: 10.48550/arxiv.2405.19224)
(link to publication)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, C-B Schönlieb, AI Aviles-Rivero
– IEEE Transactions on Intelligent Transportation Systems
(2024)
26,
2747
(doi: 10.1109/TITS.2024.3510551)
Training Data Reconstruction: Privacy due to Uncertainty?
C Runkel, KV Gandikota, J Geiping, C-B Schönlieb, M Moeller
(2024)
(link to publication)
Neural networks for the approximation of Euler’s elastica
E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSM de Almagro, M Stavole
– Computer Methods in Applied Mechanics and Engineering
(2024)
435,
117584
(doi: 10.1016/j.cma.2024.117584)
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
C Runkel, S Xiao, N Boullé, Y Chen
(2024)
(link to publication)
Deep Generative Classification of Blood Cell Morphology.
S Deltadahl, J Gilbey, C Van Laer, N Boeckx, M Leers, T Freeman, L Aiken, T Farren, M Smith, M Zeina, B consortium, JH Rudd, C Piazzese, J Taylor, N Gleadall, C-B Schönlieb, S Sivapalaratnam, M Roberts, P Nachev
(2024)
(doi: 10.48550/arxiv.2408.08982)
Parameter Choices in Haarpsi for IQA with Medical Images
C Karner, J Gröhl, I Selby, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, JHF Rudd, C-B Schönlieb, JR Weir-McCall, A Breger
– Proceedings International Symposium on Biomedical Imaging
(2024)
00,
1
(doi: 10.1109/ISBI60581.2025.10981227)
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, C-B Schönlieb, A Aviles-Rivero
– Proceedings of the 32nd ACM International Conference on Multimedia
(2024)
abs/2311.18839,
1265
(doi: 10.1145/3664647.3681153)
Hamiltonian Matching for Symplectic Neural Integrators
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)
(link to publication)
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
M Eliasof, D Murari, F Sherry, C-B Schönlieb
– Frontiers in Artificial Intelligence and Applications
(2024)
392,
1607
(doi: 10.3233/FAIA240667)
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
C-W Cheng, J Huang, Y Zhang, G Yang, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Parallel-in-Time Solutions with Random Projection Neural Networks
MM Betcke, LM Kreusser, D Murari
(2024)
(link to publication)
Using machine learning to predict carotid artery symptoms from CT angiography: a radiomics and deep learning approach
EPV Le, MYZ Wong, L Rundo, JM Tarkin, NR Evans, JR Weir-McCall, MM Chowdhury, PA Coughlin, H Pavey, F Zaccagna, C Wall, R Sriranjan, A Corovic, Y Huang, EA Warburton, E Sala, M Roberts, C-B Schönlieb, JHF Rudd
– European Journal of Radiology Open
(2024)
13,
100594
(doi: 10.1016/j.ejro.2024.100594)
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Y Zhang, C-W Cheng, K Yu, Z He, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Correcting common OCT artifacts enhances plaque classification and identification of higher-risk plaque features
B Jessney, X Chen, S Gu, A Brown, D Obaid, C Costopoulos, M Goddard, N Shah, H Garcia-Garcia, Y Onuma, P Serruys, SP Hoole, M Mahmoudi, M Roberts, M Bennett
– Cardiovasc Revasc Med
(2024)
73,
50
(doi: 10.1016/j.carrev.2024.06.023)
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
C Huang, Z Wu, Y Cheng, T Zeng, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA J Appl Math
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)

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