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  • Currently displaying 1 - 20 of 205 publications
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, C-B Schönlieb, O Öktem
– Inverse Problems
(2021)
(DOI: 10.1088/1361-6420/ac28ec)
Learning optical flow for fast MRI reconstruction
T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, CB Schönlieb
– Inverse Problems
(2021)
37,
095007
(DOI: 10.1088/1361-6420/ac164a)
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics
JA Carrillo, B During, LM Kreusser, CB Schonlieb
– Discrete and Continuous Dynamical Systems
(2021)
41,
3985
(DOI: 10.3934/dcds.2021025)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (Nature Biomedical Engineering, (2021), 5, 6, (509-521), 10.1038/s41551-021-00704-1)
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nat Biomed Eng
(2021)
5,
943
(DOI: 10.1038/s41551-021-00787-w)
Equivariant neural networks for inverse problems
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse problems
(2021)
37,
085006
(DOI: 10.1088/1361-6420/ac104f)
On the extremal points of the ball of the Benamou–Brenier energy
K Bredies, M Carioni, S Fanzon, F Romero
– Bulletin of the London Mathematical Society
(2021)
blms.12509
(DOI: 10.1112/blms.12509)
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
M Benning, MM Betcke, MJ Ehrhardt, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2021)
14,
814
(DOI: 10.1137/20M1357500)
Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning
H Peng, NG Pavlidis
– arXiv
(2021)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, C-B Schonlieb
– CoRR
(2021)
abs/2106.03755,
Structure-preserving deep learning
E Celledoni, MJ Ehrhardt, C Etmann, RI Mclachlan, B Owren, CB Schonlieb, F Sherry
– European Journal of Applied Mathematics
(2021)
32,
888
(DOI: 10.1017/s0956792521000139)
Machine churning
M Roberts
– NEW SCIENTIST
(2021)
245,
23
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition-Induced Hypertension: The HYPAZ Trial.
KM Mäki-Petäjä, A McGeoch, LL Yang, A Hubsch, CM McEniery, PAR Meyer, F Mir, P Gajendragadkar, N Ramenatte, G Anandappa, S Santos Franco, SJ Bond, C-B Schönlieb, Y Boink, C Brune, IB Wilkinson, DI Jodrell, J Cheriyan
– Hypertension
(2021)
77,
1591
(DOI: 10.1161/HYPERTENSIONAHA.120.16454)
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems
S Mukherjee, O Öktem, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
12679,
540
(DOI: 10.1007/978-3-030-75549-2_43)
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nat Biomed Eng
(2021)
5,
509
(DOI: 10.1038/s41551-021-00704-1)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Transactions on Pattern Analysis and Machine Intelligence
(2021)
PP,
1
(DOI: 10.1109/tpami.2021.3070382)
Dynamic spectral residual superpixels
J Zhang, AI Aviles-Rivero, D Heydecker, X Zhuang, R Chan, CB Schönlieb
– Pattern Recognition
(2021)
112,
107705
(DOI: 10.1016/j.patcog.2020.107705)
Machine learning for covid-19 diagnosis and prognostication: Lessons for amplifying the signal while reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JHF Rudd, G Yang, J Babar, E Sala, C-B Schönlieb, AIX-COVNET collaboration
– Radiology: Artificial Intelligence
(2021)
3,
e210011
(DOI: 10.1148/ryai.2021210011)
Duality-based Higher-order Non-smooth Optimization on Manifolds
W Diepeveen, J Lellmann
– arXiv
(2021)
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
J Liu, AI Aviles-Rivero, H Ji, C-B Schönlieb
– Med Image Anal
(2021)
68,
101930
(DOI: 10.1016/j.media.2020.101930)
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction.
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, C-B Schönlieb
– Med Image Anal
(2021)
abs/1810.10828,
101933
(DOI: 10.1016/j.media.2020.101933)

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