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  • Currently displaying 61 - 80 of 1295 publications
Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson
D Spiegelhalter
– Journal of the Royal Statistical Society Series A: Statistics in Society
(2022)
185,
1499
(doi: 10.1111/rssa.12970)
High-dimensional principal component analysis with heterogeneous missingness.
Z Zhu, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
2000
(doi: 10.1111/rssb.12550)
Functional random effects modeling of brain shape and connectivity
E Lila, JAD Aston
– Annals of Applied Statistics
(2022)
16,
(doi: 10.1214/21-aoas1572)
Unsupervised Image Restoration Using Partially Linear Denoisers.
R Ke, C-B Schonlieb
– IEEE Trans Pattern Anal Mach Intell
(2022)
44,
5796
(doi: 10.1109/TPAMI.2021.3070382)
High-dimensional Changepoint Estimation with Heterogeneous Missingness
B Follain, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
84,
1023
(doi: 10.1111/rssb.12540)
Label-Free Prediction of Cell Painting from Brightfield Images
JO Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
– Scientific Reports
(2022)
12,
10001
(doi: 10.1038/s41598-022-12914-x)
Eigen-Adjusted Functional Principal Component Analysis
C-R Jiang, E Lila, J Aston, J-L Wang
– Journal of Computational and Graphical Statistics
(2022)
31,
1141
(doi: 10.1080/10618600.2022.2067550)
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Y Nan, JD Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, J Owen, J Neville, J Guiot, B Ernst, A Pastor, A Alberich-Bayarri, MI Menzel, S Walsh, W Vos, N Flerin, J-P Charbonnier, E van Rikxoort, A Chatterjee, H Woodruff, P Lambin, L Cerdá-Alberich, L Martí-Bonmatí, F Herrera, G Yang
– An international journal on information fusion
(2022)
82,
99
(doi: 10.1016/j.inffus.2022.01.001)
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
– Inverse Problems
(2022)
38,
075006
(doi: 10.1088/1361-6420/ac28ec)
A Unifying Tutorial on Approximate Message Passing.
OY Feng, R Venkataramanan, C Rush, RJ Samworth
– Foundations and Trends in Machine Learning
(2022)
15,
335
(doi: 10.1561/2200000092)
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
TB Berrett, RJ Samworth
(2022)
(link to publication)
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
J Liang, T Luo, CB Schonlieb
– SIAM Journal on Scientific Computing
(2022)
44,
a1069
(doi: 10.1137/21m1395685)
Association of collagen, elastin, glycosaminoglycans and macrophages with tissue ultimate material strength and stretch in human thoracic aortic aneurysms: a uniaxial tension study
A Tokgoz, S Wang, P Sastry, C Sun, NL Figg, Y Huang, MR Bennett, S Sinha, JH Gillard, MPF Sutcliffe, Z Teng
– Journal of biomechanical engineering
(2022)
144,
101001
(doi: 10.1115/1.4054060)
Nonparametric, tuning-free estimation of S-shaped functions
OY Feng, Y Chen, Q Han, RJ Carroll, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
84,
1324
(doi: 10.1111/rssb.12481)
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.
MJ Colbrook, V Antun, AC Hansen
– Proceedings of the National Academy of Sciences of USA
(2022)
119,
e2107151119
(doi: 10.1073/pnas.2107151119)
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun, AC Hansen
– Proceedings of the National Academy of Sciences of the United States of America
(2022)
119,
e2107151119
(doi: 10.1073/pnas.2107151119)
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
R Ke, AI Aviles-Rivero, S Pandey, S Reddy, C-B Schonlieb
– IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
(2022)
31,
1805
(doi: 10.1109/TIP.2022.3144036)
Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission.
D Aggarwal, B Warne, AS Jahun, WL Hamilton, T Fieldman, L du Plessis, V Hill, B Blane, E Watkins, E Wright, G Hall, C Ludden, R Myers, M Hosmillo, Y Chaudhry, ML Pinckert, I Georgana, R Izuagbe, D Leek, O Nsonwu, GJ Hughes, S Packer, AJ Page, M Metaxaki, S Fuller, G Weale, J Holgate, CA Brown, Cambridge Covid-19 testing Centre, University of Cambridge Asymptomatic COVID-19 Screening Programme Consortium, COVID-19 Genomics UK (COG-UK) Consortium, R Howes, D McFarlane, G Dougan, OG Pybus, DD Angelis, PH Maxwell, SJ Peacock, MP Weekes, C Illingworth, EM Harrison, NJ Matheson, IG Goodfellow
– Nature communications
(2022)
13,
751
(doi: 10.1038/s41467-021-27942-w)
Isotonic regression with unknown permutations: Statistics, computation and adaptation
A Pananjady, RJ Samworth
– The Annals of Statistics
(2022)
50,
324
(doi: 10.1214/21-aos2107)
AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis
Y Chen, CB Schonlieb, P Lio, T Leiner, PL Dragotti, G Wang, D Rueckert, D Firmin, G Yang
– Proceedings of the IEEE
(2022)
110,
224
(doi: 10.1109/jproc.2022.3141367)

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