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  • Currently displaying 1 - 20 of 197 publications
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)
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 Olevera, 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)
1
(DOI: 10.1038/s41551-021-00704-1)
Unsupervised Image Restoration Using Partially Linear Denoisers.
R Ke, C-B Schonlieb
– IEEE Trans Pattern Anal Mach Intell
(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)
Classification and image processing with a semi-discrete scheme for fidelity forced Allen–Cahn on graphs
J Budd, Y van Gennip, J Latz
– GAMM-Mitteilungen
(2021)
44,
(DOI: 10.1002/gamm.202100004)
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
– Radiology: Artificial Intelligence
(2021)
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
– Medical Image Analysis
(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)
68,
101933
(DOI: 10.1016/j.media.2020.101933)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, A Ruggiero, A Korhonen, E Jefferson, E Ako, G Langs, G Gozaliasl, G Yang, H Prosch, J Preller, J Stanczuk, J Tang, J Hofmanninger, J Babar, LE Sánchez, M Thillai, PM Gonzalez, P Teare, X Zhu, M Patel, C Cafolla, H Azadbakht, J Jacob, J Lowe, K Zhang, K Bradley, M Wassin, M Holzer, K Ji, MD Ortet, T Ai, N Walton, P Lio, S Stranks, T Shadbahr, W Lin, Y Zha, Z Niu, JHF Rudd, E Sala, CB Schönlieb
– Nature Machine Intelligence
(2021)
3,
199
(DOI: 10.1038/s42256-021-00307-0)
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.
EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, H Pavey, C Wall, F Zaccagna, FA Gallagher, Y Huang, R Sriranjan, A Le, JR Weir-McCall, M Roberts, FJ Gilbert, EA Warburton, C-B Schönlieb, E Sala, JHF Rudd
– Sci Rep
(2021)
11,
3499
(DOI: 10.1038/s41598-021-82760-w)
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)
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
– Med Image Anal
(2020)
68,
101941
(DOI: 10.1016/j.media.2020.101941)
Variational regularisation for inverse problems with imperfect forward operators and general noise models
L Bungert, M Burger, Y Korolev, CB Schönlieb
– CoRR
(2020)
36,
125014
(DOI: 10.1088/1361-6420/abc531)
Data driven regularization by projection
A Aspri, Y Korolev, O Scherzer
– Inverse Problems
(2020)
36,
125009
(DOI: 10.1088/1361-6420/abb61b)
EFFICIENT PRECONDITIONING for TIME FRACTIONAL DIFFUSION INVERSE SOURCE PROBLEMS
R Ke, MK Ng, T Wei
– SIAM Journal on Matrix Analysis and Applications
(2020)
41,
1857
(DOI: 10.1137/20M1320304)
Learning the Sampling Pattern for MRI
F Sherry, M Benning, JC De Los Reyes, MJ Graves, G Maierhofer, G Williams, C-B Schonlieb, MJ Ehrhardt
– IEEE Transactions on Medical Imaging
(2020)
39,
4310
(DOI: 10.1109/tmi.2020.3017353)
Higher-Order Total Directional Variation: Imaging Applications
S Parisottoy, J Lellmannz, S Masnoux, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2020)
13,
2063
(DOI: 10.1137/19M1239209)
Structural analysis of an $L$-infinity variational problem and relations to distance functions
L Bungert, Y Korolev, M Burger
– Pure and Applied Analysis
(2020)
2,
703
(DOI: 10.2140/paa.2020.2.703)
Scanning electron diffraction tomography of strain
R Tovey, DN Johnstone, SM Collins, WRB Lionheart, PA Midgley, M Benning, C-B Schönlieb
– Inverse Problems
(2020)
37,
015003
(DOI: 10.1088/1361-6420/abc961)

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