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  • Currently displaying 41 - 60 of 1326 publications
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)
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)
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)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2022)
(doi: 10.48550/arxiv.2211.06885)
(link to publication)
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
Y Wei, C Li, Z Cui, RC Mayrand, J Zou, ALKC Wong, R Sinha, T Matys, C-B Schönlieb, SJ Price
– Brain : a journal of neurology
(2022)
146,
1714
(doi: 10.1093/brain/awac360)
Functional random effects modeling of brain shape and connectivity
E Lila, JAD Aston
– The Annals of Applied Statistics
(2022)
16,
(doi: 10.1214/21-AOAS1572)
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
(2022)
(link to publication)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Trans Pattern Anal Mach Intell
(2022)
44,
1
(doi: 10.1109/TPAMI.2021.3070382)
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
Y Li, C Li, Y Wei, S Price, CB Schönlieb, X Chen
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962,
124
(doi: 10.1007/978-3-031-08999-2_10)
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks
Y Wei, Y Li, X Chen, CB Schönlieb, C Li, SJ Price
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962,
140
(doi: 10.1007/978-3-031-08999-2_11)
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
– 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)

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