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  • Currently displaying 1 - 20 of 228 publications
On Krylov methods for large-scale CBCT reconstruction.
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Physics in medicine and biology
(2023)
(DOI: 10.1088/1361-6560/acd616)
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
(2023)
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images
TG Grossmann, C-B Schönlieb, OD Rold
(2023)
Multi-modal learning for predicting the genotype of glioma
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE Transactions on Medical Imaging
(2023)
PP,
1
(DOI: 10.1109/tmi.2023.3244038)
Can Physics-Informed Neural Networks beat the Finite Element Method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
(2023)
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, CB 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, 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, C-B Schönlieb, C Etmann
(2023)
14009,
187
(DOI: 10.1007/978-3-031-31975-4_15)
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)
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)
Regularising orientation estimation in Cryo-EM 3D map refinement through measure-based lifting over Riemannian manifolds
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)

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