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  • Currently displaying 1 - 20 of 1558 publications
High-Probability Minimax Lower Bounds
T Ma, KA Verchand, RJ Samworth
– Statistical Science
(2026)
41,
637
(doi: 10.1214/25-sts996)
False discovery rate control with compound p-values
RF Barber, RJ Samworth
– Journal of the Royal Statistical Society Series B Statistical Methodology
(2026)
qkag116
(doi: 10.1093/jrsssb/qkag116)
Deep learning with missing data
T Ma, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2026)
qkag114
(doi: 10.1093/jrsssb/qkag114)
DiffShape: Decoupling Shape Priors with Conditional Diffusion for Robust Brain Extraction
Y Li, Z Li, H Wang, Y Lu, C-B Schonlieb, C Li, X Chen
– IEEE Trans Med Imaging
(2026)
PP,
1
(doi: 10.1109/tmi.2026.3716658)
Biomechanical Determinants of Plaque Erosion
J Sangha, E Tsiartas, Y Huang, S Gu, K Mohee, F Zhang, M Roberts, M Bennett
– JACC. Basic to translational science
(2026)
11,
101621
(doi: 10.1016/j.jacbts.2026.101621)
Efficient and minimax optimal in-context nonparametric regression with transformers
M Ching, I Popescu, N Smith, T Ma, W Underwood, R Samworth
(2026)
(doi: 10.17863/CAM.130396)
Causal inference and digital twins: a roadmap for the future of clinical trials.
S Ruhrberg Estévez, R Peck, E McKinney, J Weatherall, S Bailey, J Rochon, C Anagnostopoulos, P Marquet, A Wood, N Best, H Amad, J Piskorz, K Kacprzyk, R Salama, C Gunther, F Frau, A Pugeat, R Hernandez, M van der Schaar
– Npj Digital Medicine
(2026)
9,
582
(doi: 10.1038/s41746-026-02871-4)
Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction
F Zhang, S Deltadahl, ML Delouee, D Kreuter, J Taylor, A Visser, B Consortium, JHF Rudd, NS Gleadall, S Sivapalaratnam, F Asselbergs, MC Schut, M Roberts
– 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems Flics 2026
(2026)
00,
524
(doi: 10.1109/FLICS70075.2026.11621932)
Blurring evidence with advocacy: a systematic review of policy recommendations for net zero
E Danopoulos, A Shah, CR Schneider, JAD Aston
– npj Environmental Social Sciences
(2026)
1,
6
(doi: 10.1038/s44432-026-00012-6)
Blurring evidence with advocacy: A systematic review of policy recommendations for net zero
E Danopoulos, A Shah, CR Schneider, JAD Aston
– npj Environmental Social Sciences
(2026)
1,
6
(doi: 10.1038/s44432-026-00012-6)
Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
F Hastings, SM Ragib Shahriar Islam, M Sabaté Landman, S Hatamikia, C-B Schönlieb, A Biguri
– Phys Med Biol
(2026)
71,
105019
(doi: 10.1088/1361-6560/ae676e)
Welcome Message (Cont.)
– 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)
(2026)
2026-April,
1
(doi: 10.1109/isbi61048.2026.11516038)
A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort
F Kilburn-Toppin, J Rothwell, NR Payne, Y Huang, SE Hickman, FJ Gilbert
– European radiology
(2026)
36,
7221
(doi: 10.1007/s00330-026-12593-6)
Tracking the evolution of biomarker efficacy in SARS-CoV-2: a global meta-analyses series
MR Shuvo, M Schwiening, N Avramidis, F Soares, O Feng, S Abreu, N Veale, W Thomas, AAR Thompson, RJ Samworth, NW Morrell, MG Semple, K Baillie, SJ Marciniak, E Soon
– Respiratory research
(2026)
27,
265
(doi: 10.1186/s12931-026-03656-9)
PLAQUE STRUCTURAL STRESS ESTIMATIONS FROM ARTIFICIAL INTELLIGENCE-DRIVEN OCT ANALYSIS IMPROVE PREDICTION OF FUTURE MAJOR ADVERSE CARDIOVASCULAR EVENTS
J Sangha, Y Huang, S Gu, B Jessney, X Chen, CV Bourantas, L Raber, F Prati, M Roberts, M Bennett
– JACC-JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2026)
87,
A788
(link to publication)
26-A-15449-ACC PLAQUE STRUCTURAL STRESS ESTIMATIONS FROM ARTIFICIAL INTELLIGENCE-DRIVEN OCT ANALYSIS IMPROVE PREDICTION OF FUTURE MAJOR ADVERSE CARDIOVASCULAR EVENTS
J Sangha, Y Huang, S Gu, B Jessney, X Chen, CV Bourantas, L Raber, F Prati, M roberts, M Bennett
– Journal of the American College of Cardiology
(2026)
87,
A788
(doi: 10.1016/j.jacc.2026.02.2035)
Embracing Bayesian Methods in Clinical Trials FDA’s Long-Awaited Draft Guidance
JJ Lee, FE Harrell, LM LaVange, DJ Spiegelhalter
– JAMA: The Journal of the American Medical Association
(2026)
335,
1664
(doi: 10.1001/jama.2026.4179)
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling.
S Megas, DG Chen, K Polanski, H Asadollahzadeh, M Eliasof, C-B Schönlieb, SA Teichmann
– Nat Commun
(2026)
17,
4126
(doi: 10.1038/s41467-026-69856-5)
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
HY Tan, S Mukherjee, J Tang, C-B Schönlieb
– Proceedings of the AAAI Conference on Artificial Intelligence
(2026)
40,
25761
(doi: 10.1609/aaai.v40i30.39774)
Outrigger local polynomial regression
EH Young, RD Shah, RJ Samworth
(2026)
(link to publication)

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