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  • Currently displaying 1 - 20 of 1295 publications
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)
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)
Evidence Communication Rules for Policy (ECR-P) critical appraisal tool.
E Danopoulos, JAD Aston, A Shah, CR Schneider
– Systematic Reviews
(2025)
14,
10
(doi: 10.1186/s13643-025-02757-8)
Testing conditional independence under isotonicity
R Hore, JA Soloff, RF Barber, RJ Samworth
(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)
Conscious and unconscious processes in vision and homeostasis
AS Fokas, NK Logothetis
– Front Behav Neurosci
(2025)
19,
1516127
(doi: 10.3389/fnbeh.2025.1516127)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero
– IEEE Transactions on Intelligent Transportation Systems
(2024)
26,
2747
(doi: 10.1109/tits.2024.3510551)
Why probability probably doesn’t exist (but it is useful to act like it does)
D Spiegelhalter
– Nature
(2024)
636,
560
(doi: 10.1038/d41586-024-04096-5)
The Projected Covariance Measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
– Annals of Statistics
(2024)
52,
2851
(doi: 10.1214/24-AOS2447)
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, CB Schönlieb, A Aviles-Rivero
– CoRR
(2024)
abs/2311.18839,
1265
(doi: 10.1145/3664647.3681153)
Synthetic data for privacy-preserving clinical risk prediction.
Z Qian, T Callender, B Cebere, SM Janes, N Navani, M van der Schaar
– Sci Rep
(2024)
14,
25676
(doi: 10.1038/s41598-024-72894-y)
Estimation beyond Missing (Completely) at Random
T Ma, KA Verchand, TB Berrett, T Wang, RJ Samworth
(2024)
(link to publication)
Measuring the Unmeasurable: Estimating True Population of Hidden Online Communities
J Gibbon, T Marjanov, A Hutchings, J Aston
– 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
(2024)
6,
56
(doi: 10.1109/eurospw61312.2024.00014)
How to maintain trustworthiness when doctors act as policy advocates
S Walsh, D Taylor-Robinson, D Spiegelhalter, C Brayne
– BMJ (Clinical research ed.)
(2024)
386,
e079929
(doi: 10.1136/bmj-2024-079929)
Measuring the Unmeasurable: Estimating True Population of Hidden Online Communities
J Gibbon, T Marjanov, A Hutchings, J Aston
(2024)
(doi: 10.17863/CAM.108740)
High-probability minimax lower bounds
T Ma, KA Verchand, RJ Samworth
(2024)
(link to publication)
Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry.
S Hayes, R McCabe, D De Angelis, CA Donnelly, SJW Evans, GF Medley, DJ Spiegelhalter, SM Bird
– R Soc Open Sci
(2024)
11,
231722
(doi: 10.1098/rsos.231722)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA J Appl Math
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
A Study of Posterior Stability for Time-Series Latent Diffusion
Y Li, Y Cheng, MVD Schaar
(2024)
(link to publication)
Generalization-a key challenge for responsible AI in patient-facing clinical applications.
L Goetz, N Seedat, R Vandersluis, M van der Schaar
– NPJ Digit Med
(2024)
7,
126
(doi: 10.1038/s41746-024-01127-3)

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