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Currently displaying 1 - 20 of 326 publications

From Euler-Jacobi to Bogoyavlenskij and back

D Murari, N Sansonetto

– Nonlinearity

(2026)

39,

015016

(doi: 10.1088/1361-6544/ae341c)

Enhanced visualisation of concealed target objects by infrared thermography and machine learning

W Khor, Y Chen, M Roberts, F Ciampa

– Infrared Physics & Technology

(2026)

152,

106186

(doi: 10.1016/j.infrared.2025.106186)

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

– Journal of Computational Physics

(2025)

548,

114567

(doi: 10.1016/j.jcp.2025.114567)

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)

PP,

(doi: 10.1109/JBHI.2025.3634534)

Deep generative classification of blood cell morphology

S Deltadahl, J Gilbey, C Van Laer, N Boeckx, MPG Leers, T Freeman, L Aiken, T Farren, M Smith, M Zeina, S MacDonald, D Gleghorn, M Schut, F Asselbergs, S Kar, S Williams, M Koh, Y Henskens, N de Wit, U D’Alessandro, B Bah, O Secka, R Gupta, S Trompeter, C van Laer, GA Awandare, K Sarpong, L Amenga-Etego, WH Ouwehand, JHF Rudd, JHF Rudd, C Piazzese, J Taylor, N Gleadall, C-B Schönlieb, S Sivapalaratnam, M Roberts, P Nachev

– Nature Machine Intelligence

(2025)

1791

(doi: 10.1038/s42256-025-01122-7)

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)

Stable neural networks and connections to continuous dynamical systems

MJ Ehrhardt, D Murari, F Sherry

(2025)

(link to publication)

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)

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)

Neural Networks with Orthogonal Jacobian

A Massucco, D Murari, C-B Schönlieb

(2025)

(link to publication)

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction

A Biguri, S Mukherjee, X Zhao, X Liu, X Wang, R Yang, Y Du, Y Peng, M Brudfors, M Graham, H Ryu, O Kutter, A Hauptmann, M Al-Rubaye, MT Nieminen, MAK Brix, A Yunker, R Kettimuthu, JC Roeske, S Alavala, S Gorthi, C-B Schnlieb

– IEEE Open Journal of Signal Processing

(2025)

942

(doi: 10.1109/OJSP.2025.3593189)

Motion Constrained Point Cloud Matching for Maritime Tracking

N Dalhaug, M Baerveldt, AI Aviles-Rivero, C-B Schönlieb, A Stahl, R Mester, EF Brekke

– IEEE Access

(2025)

13,

111354

(doi: 10.1109/ACCESS.2025.3582327)

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, SN BioResource, S Trial, B Consortium, JH Rudd, E Di 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)

Deep Generative Classification of Blood Cell Morphology

S Deltadahl, J Gilbey, C Van Laer, N Boeckx, MPG Leers, T Freeman, L Aiken, T Farren, M Smith, M Zeina, S MacDonald, D Gleghorn, BloodCounts! consortium, JH Rudd, C Piazzese, J Taylor, N Gleadall, C-B Schönlieb, S Sivapalaratnam, M Roberts, P Nachev

– Nature machine intelligence

(2025)

1791

(doi: 10.1038/s42256-025-01122-7)

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)