Carola-Bibiane Schönlieb

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Martin BurgerFriedrich-Alexander Universität Erlangen-NürnbergVerified email at fau.de
Martin BenningQueen Mary University of LondonVerified email at qmul.ac.uk
Matthias J. EhrhardtMathematical Sciences, University of BathVerified email at bath.ac.uk
Angelica I. Aviles-RiveroUniversity of CambridgeVerified email at cam.ac.uk
Juan Carlos De los ReyesCentro de Modelización Matemática (MODEMAT), Escuela Politécnica Nacional, EcuadorVerified email at epn.edu.ec
Xiaohao CaiSchool of Electronics and Computer Science, University of SouthamptonVerified email at soton.ac.uk
David CoomesProfessor of Forest Ecology and Conservation, University of CambridgeVerified email at cam.ac.uk
Kostas PapafitsorosWeierstrass Institute for Applied Analysis and StochasticsVerified email at wias-berlin.de
Jan LellmannUniversity of LuebeckVerified email at uni-luebeck.de
Luca CalatroniCNRS, I3S, Sophia-Antipolis, FranceVerified email at i3s.unice.fr
Sebastian LunzPhD Student, University of CambridgeVerified email at cam.ac.uk
Bertram DüringProfessor of Mathematics, University of WarwickVerified email at warwick.ac.uk
Massimo FornasierProfessor of Applied Numerical Analysis, Technical University of MunichVerified email at ma.tum.de
Jingwei LiangDAMTP, University of CambridgeVerified email at cam.ac.uk
Simone ParisottoResearch Associate, University of CambridgeVerified email at cam.ac.uk
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Robert ToveyInria, ParisVerified email at inria.fr
Peter MarkowichKAUSTVerified email at kaust.edu.sa
Daniel CremersTechnical University of MunichVerified email at tum.de
Paul MidgleyProfessor, University of CambridgeVerified email at cam.ac.uk

Carola-Bibiane Schönlieb

DAMTP, University of Cambridge

Verified email at cam.ac.uk

Mathematics Computer Science Medical imaging inverse problems


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A combined first and second order variational approach for image reconstruction K Papafitsoros, CB Schönlieb Journal of mathematical imaging and vision 48 (2), 308-338, 2014	229	2014
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	186	2017
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	166	2009
Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019	122	2019
Unconditionally stable schemes for higher order inpainting A Bertozzi, CB Schönlieb Communications in Mathematical Sciences 9 (2), 413-457, 2011	117	2011
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	91	2018
Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb arXiv preprint arXiv:1805.11572, 2018	82	2018
Partial differential equation methods for image inpainting CB Schönlieb Cambridge University Press, 2015	81	2015
Imaging with Kantorovich--Rubinstein Discrepancy J Lellmann, DA Lorenz, C Schonlieb, T Valkonen SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014	77	2014
Combined first and second order total variation inpainting using split Bregman K Papafitsoros, CB Schoenlieb, B Sengul Image Processing On Line 3, 112-136, 2013	74	2013
Image denoising: learning the noise model via nonsmooth PDE-constrained optimization JC De los Reyes, CB Schönlieb Inverse Problems & Imaging 7 (4), 1183, 2013	72	2013
Variational depth from focus reconstruction M Moeller, M Benning, C Schönlieb, D Cremers IEEE Transactions on Image Processing 24 (12), 5369-5378, 2015	71	2015
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	65	2017
A convergent overlapping domain decomposition method for total variation minimization M Fornasier, A Langer, CB Schönlieb Numerische Mathematik 116 (4), 645-685, 2010	64	2010
Subspace Correction Methods for Total Variation and -Minimization M Fornasier, CB Schönlieb SIAM Journal on Numerical Analysis 47 (5), 3397-3428, 2009	64	2009
Oriented diffusion filtering for enhancing low-quality fingerprint images C Gottschlich, CB Schönlieb IET biometrics 1 (2), 105-113, 2012	58	2012
Phase reconstruction from velocity-encoded MRI measurements–a survey of sparsity-promoting variational approaches M Benning, L Gladden, D Holland, CB Schönlieb, T Valkonen Journal of Magnetic Resonance 238, 26-43, 2014	55	2014
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	54	2017
Total variation regularization in measurement and image space for PET reconstruction M Burger, J Müller, E Papoutsellis, CB Schönlieb Inverse Problems 30 (10), 105003, 2014	54	2014
Regularized regression and density estimation based on optimal transport M Burger, M Franek, CB Schönlieb Applied Mathematics Research eXpress 2012 (2), 209-253, 2012	50	2012

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