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  • Currently displaying 1 - 20 of 280 publications
Artificial Intelligence for Pre-Anaemic Iron Deficiency Detection Using Rich Complete Blood Count Data
D Kreuter, J Taylor, S Deltadahl, M Besser, JR Bradley, J Gilbey, S Kaptoge, N Kingston, WH Ouwehand, D Roberts, O Shamardina, KE Stirrups, D Swinkels, D Vuckovic, JHF Rudd, ED Angelantonio, C-B Schönlieb, P Nachev, S Sivapalaratnam, NS Gleadall, M Roberts
(2025)
(doi: 10.1101/2025.06.18.25329494)
Uncertainty Quantification in Cost-effectiveness Analysis for Stochastic-based Infectious Disease Models: Insights from Surveillance on Lymphatic Filariasis
MC Antony Oliver, M Graham, I Manolopoulou, GF Medley, L Pellis, KB Pouwels, M Thorpe, TD Hollingsworth
– Journal of Theoretical Biology
(2025)
611,
112197
(doi: 10.1016/j.jtbi.2025.112197)
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences
E Celledoni, J Jackaman, D Murari, B Owren
– Journal of Computational Physics
(2025)
538,
114166
(doi: 10.1016/j.jcp.2025.114166)
ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer's Disease
G Yang, K Du, Z Yang, Y Du, EYW Cheung, Y Zheng, M Yang, Z Kourtzi, CB Schonlieb, S Wang
– IEEE Journal of Biomedical and Health Informatics
(2025)
PP,
1
(doi: 10.1109/JBHI.2025.3576436)
Smooth Model Compression without Fine-Tuning
C Runkel, NK Meli, J Lukasik, A Biguri, C-B Schönlieb, M Moeller
(2025)
(link to publication)
Approximation theory for 1-Lipschitz ResNets
D Murari, T Furuya, C-B Schönlieb
(2025)
(link to publication)
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
– European Heart Journal - Digital Health
(2025)
ztaf053
(doi: 10.1093/ehjdh/ztaf053)
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
L Yang, J Huang, Y Fang, AI Aviles-Rivero, CB Schonlieb, D Zhang, G Yang
– IEEE Transactions on Instrumentation and Measurement
(2025)
74,
1
(doi: 10.1109/TIM.2025.3554318)
From Euler-Jacobi to Bogoyavlensky and back
D Murari, N Sansonetto
(2025)
(link to publication)
Enhancing Brain Age Prediction and Neurodegeneration Detection with Contrastive Learning on Regional Biomechanical Properties
J Träuble, LV Hiscox, C Johnson, A Aviles-Rivero, CB Schönlieb, GSK Schierle
(2025)
(doi: 10.1101/2025.03.25.645330)
Enhancing Fourier Neural Operators with Local Spatial Features
C Liu, D Murari, L Liu, Y Li, C Budd, C-B Schönlieb
(2025)
(link to publication)
Approximation properties of neural ODEs
AD Marinis, D Murari, E Celledoni, N Guglielmi, B Owren, F Tudisco
(2025)
(link to publication)
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
– J Imaging Inform Med
(2025)
1
(doi: 10.1007/s10278-025-01462-1)
Designing Provably Convergent Algorithms from the Geometry of Data
HY Tan
(2025)
(doi: 10.17863/CAM.119057)
FCN+: Global receptive convolution makes FCN great again
X Ren, Z Deng, J Ye, J He, D Yang
– Neurocomputing
(2025)
631,
129655
(doi: 10.1016/j.neucom.2025.129655)
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation.
Z Huang, Z Deng, J Ye, H Wang, Y Su, T Li, H Sun, J Cheng, J Chen, J He, Y Gu, S Zhang, L Gu, Y Qiao
– Med Image Anal
(2025)
101,
103499
(doi: 10.1016/j.media.2025.103499)
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, CB 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, members of the 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)

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