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  • Currently displaying 21 - 40 of 313 publications
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, AIX-COVNET Collaboration, C-B Schönlieb
– Journal of Imaging Informatics in Medicine
(2025)
38,
1
(doi: 10.1007/s10278-025-01462-1)
Approximation properties of neural ODEs
AD Marinis, D Murari, E Celledoni, N Guglielmi, B Owren, F Tudisco
(2025)
(link to publication)
Domain generalization and punch mark classification
W Peaslee, L Wrapson, C-B Schönlieb
– Journal of Cultural Heritage
(2025)
72,
226
(doi: 10.1016/j.culher.2025.02.001)
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, C-B Schönlieb, J Del Ser, G Yang
– Nature Machine Intelligence
(2025)
7,
172
(doi: 10.1038/s42256-025-00984-1)
A Pipeline for Automated Quality Control of Chest Radiographs.
IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall, AIX-COVNET Collaboration
– Radiology. Artificial intelligence
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
X Chen, Y Huang, B Jessney, J Sangha, S Gu, C-B Schönlieb, M Bennett, M Roberts
(2025)
(link to publication)
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2025)
36,
147
(doi: 10.1109/TNNLS.2023.3332003)
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)
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)
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
– 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
(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, MM 2024
(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)

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