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  • Currently displaying 1 - 20 of 223 publications
Continuous U-Net: Faster, Greater and Noiseless
C-W Cheng, C Runkel, L Liu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, C-B Schönlieb
– Inverse Problems
(2023)
39,
034003
(DOI: 10.1088/1361-6420/acb2ba)
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O Oktem, M Pereyra, C-B Schonlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
(DOI: 10.1109/msp.2022.3207451)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, C-B Schonlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
(DOI: 10.1109/msp.2022.3205430)
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)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
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)
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, AIX-COVNET Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
(2022)
(DOI: 10.48550/arxiv.2210.13191)
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2022)
PP,
1
(DOI: 10.1109/tnnls.2022.3203315)
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)
Lifting-based Global Optimisation over Riemannian Manifolds: Theory and Applications in Cryo-EM
W Diepeveen, J Lellmann, O Öktem, C-B Schönlieb
(2022)
Imaging with Equivariant Deep Learning
D Chen, M Davies, MJ Ehrhardt, C-B Schönlieb, F Sherry, J Tachella
(2022)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Transactions on Pattern Analysis and Machine Intelligence
(2022)
44,
5796
(DOI: 10.1109/tpami.2021.3070382)
Code supporting [Lifted Bregman Network]
X Wang
(2022)
(DOI: 10.17863/CAM.86729)
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torne, E Sala, P Lio, M Patel, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
(2022)
(DOI: 10.48550/arxiv.2206.08478)
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)
Unsupervised Learning of the Total Variation Flow
TG Grossmann, S Dittmer, Y Korolev, C-B Schönlieb
(2022)
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)

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