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  • Currently displaying 101 - 120 of 269 publications
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)
Radiological tumour classification across imaging modality and histology
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature Machine Intelligence
(2021)
3,
787
(doi: 10.1038/s42256-021-00377-0)
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.
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
– Nature Biomedical Engineering
(2021)
5,
943
(doi: 10.17863/CAM.74831)
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation
ES Riis, MJ Ehrhardt, GRW Quispel, CB Schönlieb
– Foundations of Computational Mathematics
(2021)
22,
1351
(doi: 10.1007/s10208-020-09489-2)
Equivariant neural networks for inverse problems.
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse Probl
(2021)
37,
085006
(doi: 10.1088/1361-6420/ac104f)
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
M van Eijnatten, L Rundo, KJ Batenburg, F Lucka, E Beddowes, C Caldas, FA Gallagher, E Sala, C-B Schönlieb, R Woitek
– Computer methods and programs in biomedicine
(2021)
208,
106261
(doi: 10.1016/j.cmpb.2021.106261)
Efficient Global Optimization of Non-Differentiable, Symmetric Objectives for Multi Camera Placement
ML Hanel, CB Schonlieb
– IEEE Sensors Journal
(2021)
22,
5278
(doi: 10.1109/JSEN.2021.3086037)
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)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, CB Schonlieb
– CoRR
(2021)
00,
72
(doi: 10.1109/WACV51458.2022.00015)
Deep learning as optimal control problems
M Benning, E Celledoni, MJ Ehrhardt, B Owren, CB Schonlieb
– IFAC-PapersOnLine
(2021)
54,
620
(doi: 10.1016/j.ifacol.2021.06.124)
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)
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems
S Mukherjee, O Öktem, CB Schönlieb
– Lecture Notes in Computer Science
(2021)
12679 LNCS,
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)
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)
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 (Dallas, Tex. : 1979)
(2021)
77,
1591
(doi: 10.1161/HYPERTENSIONAHA.120.16454)
Deep learning based segmentation of brain tissue from diffusion MRI.
F Zhang, A Breger, KIK Cho, L Ning, C-F Westin, LJ O'Donnell, O Pasternak
– Neuroimage
(2021)
233,
117934
(doi: 10.1016/j.neuroimage.2021.117934)
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, C-B Schonlieb
– IEEE Trans Image Process
(2021)
30,
3555
(doi: 10.1109/tip.2021.3062726)
Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal whilst reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, J Rudd, G Yang, J Babar, E Sala, C Schoenlieb
– Radiol Artif Intell
(2021)
3,
e210011
(doi: 10.1148/ryai.2021210011)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization
C Runkel, C Etmann, M Möller, C-B Schönlieb
(2021)
(link to publication)

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