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Carola-Bibiane Schönlieb
Carola-Bibiane Schönlieb
DAMTP, University of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
6092021
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
Acta Numerica 28, 1-174, 2019
4472019
Learning to diversify deep belief networks for hyperspectral image classification
P Zhong, Z Gong, S Li, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3516-3530, 2017
3022017
A combined first and second order variational approach for image reconstruction
K Papafitsoros, CB Schönlieb
Journal of mathematical imaging and vision 48, 308-338, 2014
2852014
Adversarial regularizers in inverse problems
S Lunz, O Öktem, CB Schönlieb
Advances in neural information processing systems 31, 2018
2022018
Cahn–Hilliard inpainting and a generalization for grayvalue images
M Burger, L He, CB Schönlieb
SIAM Journal on Imaging Sciences 2 (4), 1129-1167, 2009
1942009
Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications
A Chambolle, MJ Ehrhardt, P Richtárik, CB Schonlieb
SIAM Journal on Optimization 28 (4), 2783-2808, 2018
1602018
Unconditionally stable schemes for higher order inpainting
A Bertozzi, CB Schönlieb
Communications in Mathematical Sciences 9 (2), 413-457, 2011
1412011
Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation
M Yeung, E Sala, CB Schönlieb, L Rundo
Computerized Medical Imaging and Graphics 95, 102026, 2022
1342022
On the connection between adversarial robustness and saliency map interpretability
C Etmann, S Lunz, P Maass, CB Schönlieb
arXiv preprint arXiv:1905.04172, 2019
1282019
Partial differential equation methods for image inpainting
CB Schönlieb
Cambridge University Press, 2015
1232015
Variational depth from focus reconstruction
M Moeller, M Benning, C Schönlieb, D Cremers
IEEE Transactions on Image Processing 24 (12), 5369-5378, 2015
1142015
Imaging with Kantorovich--Rubinstein Discrepancy
J Lellmann, DA Lorenz, C Schonlieb, T Valkonen
SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014
1102014
Bilevel parameter learning for higher-order total variation regularisation models
JC De los Reyes, CB Schönlieb, T Valkonen
Journal of Mathematical Imaging and Vision 57 (1), 1-25, 2017
1062017
Image denoising: learning the noise model via nonsmooth PDE-constrained optimization
JC De los Reyes, CB Schönlieb
Inverse Problems & Imaging 7 (4), 1183, 2013
1062013
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, ...
Nature biomedical engineering 5 (6), 509-521, 2021
902021
Bilevel approaches for learning of variational imaging models
L Calatroni, C Cao, JC De Los Reyes, CB Schönlieb, T Valkonen
Variational Methods: In Imaging and Geometric Control 18 (252), 2, 2017
852017
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
International Conference on Machine Learning, 10158-10169, 2020
812020
Combined first and second order total variation inpainting using split Bregman
K Papafitsoros, CB Schoenlieb, B Sengul
Image Processing On Line, 2013
812013
Liquid phase blending of metal-organic frameworks
L Longley, SM Collins, C Zhou, GJ Smales, SE Norman, NJ Brownbill, ...
Nature communications 9 (1), 2135, 2018
712018
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