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  • Currently displaying 81 - 100 of 1369 publications
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
D Kreuter, S Tull, J Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, N Gleadall, M Roberts
(2023)
(doi: 10.48550/arxiv.2306.09177)
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb
– Scientific data
(2023)
10,
493
(doi: 10.1038/s41597-023-02340-7)
Inference in High-Dimensional Online Changepoint Detection
Y Chen, T Wang, RJ Samworth
– Journal of the American Statistical Association
(2023)
119,
1461
(doi: 10.1080/01621459.2023.2199962)
Navigating the development challenges in creating complex data systems
S Dittmer, M Roberts, J Gilbey, A Biguri, I Selby, A Breger, M Thorpe, JR Weir-McCall, E Gkrania-Klotsas, A Korhonen, E Jefferson, G Langs, G Yang, H Prosch, J Stanczuk, J Tang, J Babar, L Escudero Sánchez, P Teare, M Patel, M Wassin, M Holzer, N Walton, P Lió, T Shadbahr, E Sala, J Preller, JHF Rudd, JAD Aston, CB Schönlieb
– Nat. Mac. Intell.
(2023)
5,
681
(doi: 10.1038/s42256-023-00665-x)
Isotonic subgroup selection
MM Müller, HWJ Reeve, TI Cannings, RJ Samworth
(2023)
(link to publication)
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
T Wang, E Dobriban, M Gataric, RJ Samworth
(2023)
(link to publication)
Communication of Statistics and Evidence in Times of Crisis
CR Schneider, JR Kerr, S Dryhurst, JAD Aston
(2023)
(link to publication)
Efficient functional estimation and the super-oracle phenomenon
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
668
(doi: 10.1214/23-aos2265)
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, C Li
(2023)
(link to publication)
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
L Jiang, Y Mao, X Chen, X Wang, C Li
(2023)
(link to publication)
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
(2023)
(link to publication)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, CB Schönlieb
– Inverse Problems
(2023)
39,
034003
(doi: 10.1088/1361-6420/acb2ba)
Spectrum inference for replicated spatial locally time-harmonizable time series
J Aston, D Dehay, AE Dudek, JM Freyermuth, D Szucs, L Colling
– Electronic Journal of Statistics
(2023)
17,
1371
(doi: 10.1214/23-EJS2130)
Predicting Conversion of Mild Cognitive Impairment to Alzheimer’s Disease by Modelling Healthy Ageing Trajectories
Y Wei, X Chen, CB Schonlieb, SJ Price, C Li
– Proceedings International Symposium on Biomedical Imaging
(2023)
2023-April,
1
(doi: 10.1109/isbi53787.2023.10230694)
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation
C Li, W Huang, X Chen, Y Wei, L Zhang, J Zhang, S Price, CB Schonlieb
– Proceedings International Symposium on Biomedical Imaging
(2023)
00,
1
(doi: 10.1109/ISBI53787.2023.10230573)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
(doi: 10.1109/MSP.2022.3205430)
The effects of communicating scientific uncertainty on trust and decision making in a public health context
CR Schneider, ALJ Freeman, D Spiegelhalter, S van der Linden
– Judgment and Decision Making
(2023)
17,
849
(doi: 10.1017/s1930297500008962)
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.
D Kreuter, S Tull, JD Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, NS Gleadall, M Roberts
– CoRR
(2023)
abs/2306.09177,
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O Oktem, M Pereyra, CB Schonlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
(doi: 10.1109/MSP.2022.3207451)
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, CB Schönlieb, C Etmann
(2023)
14009,
187
(doi: 10.1007/978-3-031-31975-4_15)

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