Zeljko Kereta

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Computationally Efficient

Image Reconstruction

Inverse Problems

Variance Reduction

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Medical Imaging

Publications

Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin, Zeljko Kereta
Image Reconstruction via Deep Image Prior Subspaces. Trans. Mach. Learn. Res. 2024 (2024)
Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang, Junqi Tang
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. CoRR (2024)
Pascal Fernsel, Zeljko Kereta, Alexander Denker
Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. CoRR (2024)
Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR (2024)
Evangelos Papoutsellis, Casper O. da Costa-Luis, Daniel Deidda, Claire Delplancke, Margaret Duff, Gemma Fardell, Ashley Gillman, Jakob S. Jørgensen, Zeljko Kereta, Evgueni Ovtchinnikov, Edoardo Pasca, Georg Schramm, Kris Thielemans
Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction. CoRR (2024)
Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
Score-Based Generative Models for PET Image Reconstruction. CoRR (2023)
Marta Lazzaretti, Zeljko Kereta, Claudio Estatico, Luca Calatroni
Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces. SSVM (2023)
Robert Twyman, Simon R. Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. IEEE Trans. Medical Imaging 42 (1) (2023)
Bangti Jin, Zeljko Kereta
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces. SIAM J. Imaging Sci. 16 (2) (2023)
Marta Lazzaretti, Zeljko Kereta, Luca Calatroni, Claudio Estatico
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces. CoRR (2023)
Zeljko Kereta, Bangti Jin
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces. CoRR (2023)
Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Zeljko Kereta, Bangti Jin
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces. CoRR (2023)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426 (2022)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR (2021)
Zeljko Kereta, Robert Twyman, Simon R. Arridge, Kris Thielemans, Bangti Jin
Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions. CoRR (2021)
Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
Unsupervised Knowledge-Transfer for Learned Image Reconstruction. CoRR (2021)
Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. CoRR (2020)
Zeljko Kereta, Timo Klock, Valeriya Naumova
Nonlinear generalization of the single index model. CoRR (2019)
Zeljko Kereta, Johannes Maly, Valeriya Naumova
Linear convergence and support recovery for non-convex multi-penalty regularization. CoRR (2019)
Ernesto De Vito, Zeljko Kereta, Valeria Naumova
A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net. CoRR (2018)
Philipp Grohs, Zeljko Kereta, Uwe Wiesmann
A shearlet-based fast thresholded Landweber algorithm for deconvolution. Int. J. Wavelets Multiresolution Inf. Process. 14 (5) (2016)