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  • Currently displaying 41 - 60 of 619 publications
Computer vision for extraction of environmental characteristics from street images: a scoping review of methods and applications
K Kokka, Y Huang, I Itova, CB Schönlieb, L Foley, J Woodcock, T Burgoine
– Journal of Transport & Health
(2025)
47,
102209
(doi: 10.1016/j.jth.2025.102209)
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
– J Comput Phys
(2025)
548,
114567
(doi: 10.1016/j.jcp.2025.114567)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
– Scientific Reports
(2025)
16,
835
(doi: 10.1038/s41598-025-30457-9)
HIBMatch: Hypergraph Information Bottleneck for Semi-Supervised Alzheimer's Progression.
Z Deng, S Wang, AI Aviles-Rivero, Z Kourtzi, C-B Schonlieb
– IEEE Journal of Biomedical and Health Informatics
(2025)
30,
5100
(doi: 10.1109/JBHI.2025.3634534)
Laplace Learning in Wasserstein Space
MCA Oliver, M Roberts, C-B Schönlieb, M Thorpe
(2025)
(link to publication)
Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes
W Peaslee, A Breger, C-B Schonlieb
– 2025 33rd European Signal Processing Conference (EUSIPCO)
(2025)
716
(doi: 10.23919/EUSIPCO63237.2025.11226174)
Brain age prediction and early neurodegeneration detection using contrastive learning on brain biomechanics: a retrospective, multicentre study.
J Träuble, LV Hiscox, CL Johnson, A Aviles-Rivero, CB Schönlieb, GS Kaminski Schierle
– Ebiomedicine
(2025)
121,
105996
(doi: 10.1016/j.ebiom.2025.105996)
FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems
F Zhang, D Kreuter, C Esteve-Yagüe, S Dittmer, J Fernandez-Marques, S Ip, B Consortium, NCJ de Wit, A Wood, JH Rudd, N Lane, NS Gleadall, C-B Schönlieb, M Roberts
(2025)
(doi: 10.48550/arxiv.2405.19000)
Stable neural networks and connections to continuous dynamical systems
MJ Ehrhardt, D Murari, F Sherry
(2025)
(link to publication)
Brain foundation models with hypergraph dynamic adapter for brain disease analysis
Z Deng, H Wang, Z Huang, L Zhang, AI Aviles-Rivero, C Liu, J He, Z Kourtzi, C-B Schönlieb
– Pattern Recognition
(2025)
172,
112595
(doi: 10.1016/j.patcog.2025.112595)
Enhanced visualisation of concealed target objects by infrared thermography and machine learning
W Khor, Y Chen, M Roberts, F Ciampa
– Infrared Physics & Technology
(2025)
152,
106186
(doi: 10.1016/j.infrared.2025.106186)
Heading Estimation of Ships using Deep Learning and Synthetic Non-aerial Images
M Lopez, C Schönlieb, A Aviles-Rivero, R Mester, E Brekke, A Stahl
– Journal of Physics Conference Series
(2025)
3123,
012027
(doi: 10.1088/1742-6596/3123/1/012027)
Artificial Intelligence-Led Whole Coronary Artery OCT Analysis; Validation and Identification of Drug Efficacy and Higher-Risk Plaques
B Jessney, X Chen, S Gu, Y Huang, M Goddard, A Brown, D Obaid, M Mahmoudi, HM Garcia Garcia, SP Hoole, L Räber, F Prati, C-B Schönlieb, M Roberts, M Bennett
– Circulation: Cardiovascular Imaging
(2025)
18,
e018133
(doi: 10.1161/circimaging.125.018133)
FEM-based A-optimal sensor placement for heat source inversion from final time measurement
C Aarset, TTN Nguyen
(2025)
(link to publication)
Nested Bregman Iterations for Decomposition Problems
T Wolf, DT Driggs, K Papafitsoros, E Resmerita, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2025)
18,
1963
(doi: 10.1137/25m173123x)
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
C-W Cheng, Y Zhao, Y Cheng, JA Montoya-Zegarra, C-B Schönlieb, AI Aviles-Rivero
– Lecture Notes in Computer Science
(2025)
15970 LNCS,
304
(doi: 10.1007/978-3-032-05141-7_30)
LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
C Chen, A Biguri, J-M Morel, RH Chan, C-B Schönlieb, J Li
(2025)
(link to publication)
Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
F Hastings, SMRS Islam, MS Landman, S Hatamikia, C-B Schönlieb, A Biguri
(2025)
(link to publication)
LEVERAGING ADULT BRAIN TUMOUR AI MODELS TO PREDICT PAEDIATRIC NEUROONCOLOGY SURVIVAL
T shadbahr, J Ruffle, L Burrows, I Palladino, J Gains, M Roberts, H Hyare
– Neuro-Oncology
(2025)
27,
ii15
(doi: 10.1093/neuonc/noaf185.057)
2-022 Artifact-corrected artificial intelligence-LED intracoronary oct analysis identifies plaque progression and vulnerability, drug efficacy and patient events
B Jessney, X Chen, S Gu, Y Huang, M Goddard, A Brown, D Obaid, M Mahmoudi, HM Garcia Garcia, SP Hoole, C Costopoulos, L Räber, F Prati, C-B Schönlieb, Y Onuma, P Serruys, M Roberts, M Bennett
– Acute coronary syndromes & interventional cardiology
(2025)
a60
(doi: 10.1136/heartjnl-2025-bcs.61)

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