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  • Currently displaying 61 - 80 of 1327 publications
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)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MICCAI 2022
(2022)
(link to publication)
Cerebrovascular risk factors impact brain phenotypes and cognitive function in healthy population
B Li, Y Wei, K Zhang, C-B Schönlieb, J Rudd, C Li
(2022)
(doi: 10.1101/2022.03.29.22273047)
Multi-modal learning for predicting the genotype of glioma
Y Wei, X Chen, L Zhu, L Zhang, C-B Schönlieb, SJ Price, C Li
(2022)
(link to publication)
Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem.
MJ Colbrook, V Antun, AC Hansen
– CoRR
(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
(2022)
119,
e2107151119
(doi: 10.1073/pnas.2107151119)
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading
L Zhang, Y Wei, Y Fu, S Price, C-B Schönlieb, C Li
(2022)
(link to publication)
Predicting conversion of mild cognitive impairment to Alzheimer's disease
Y Wei, SJ Price, C-B Schönlieb, C Li
(2022)
(doi: 10.48550/arxiv.2203.04725)
(link to publication)
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
(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)
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)
Isotonic regression with unknown permutations: Statistics, computation and adaptation
A Pananjady, RJ Samworth
– Annals of Statistics
(2022)
50,
324
(doi: 10.1214/21-AOS2107)
High-Dimensional, Multiscale Online Changepoint Detection
Y Chen, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2022)
84,
234
(doi: 10.1111/rssb.12447)
High-dimensional, multiscale online changepoint detection
Y Chen, T Wang, RJ Samworth
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2022)
84,
234
(doi: 10.1111/rssb.12447)
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, CB Schonlieb
– Journal of Machine Learning Research
(2022)
23,
ARTN 1
(link to publication)
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma
Y Wei, C Li, X Chen, CB Schoinlieb, SJ Price
– Proceedings - International Symposium on Biomedical Imaging
(2022)
00,
1
(doi: 10.1109/isbi52829.2022.9761407)
On Biased Stochastic Gradient Estimation
D Driggs, J Liang, CB Schönlieb
– Journal of Machine Learning Research
(2022)
23,

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