Optimisation | Cambridge Image Analysis

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Read more at: Faster PET Reconstruction by Stochastic Optimisation

Faster PET Reconstruction by Stochastic Optimisation

Researcher: Matthias Ehrhardt, and Carola-Bibiane Schönlieb

Read more at: Geometric Integration Methods for Optimisation

Geometric Integration Methods for Optimisation

Researcher: Erlend Riis, and Carola-Bibiane Schönlieb

Read more at: Mathematical challenges in electron tomography

Mathematical challenges in electron tomography

Researchers: Willem Diepeveen, Rob Tovey, Tatiana Bubba, M. Benning, C.-B. Schönlieb, O. Öktem, C.E. Yarman

Read more at: Equivariant Neural Networks for Inverse Problems

Equivariant Neural Networks for Inverse Problems

Researchers: Ferdia Sherry, Christian Etmann, Matthias Ehrhardt, Elena Celledoni, Brynjulf Owren, and Carola-Bibiane Schönlieb

Read more at: Plug-and-Play Proximal Algorithm for Inverse Imaging Problems

Plug-and-Play Proximal Algorithm for Inverse Imaging Problems

Researcher: Angelica Aviles-Rivero, Jingwei Liang, and Carola-Bibiane Schönlieb

Read more at: Provably Convergent Plug-and-Play Quasi-Newton Methods

Provably Convergent Plug-and-Play Quasi-Newton Methods

Researcher: Hong Ye Tan

Read more at: Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals

Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals

Researcher: Hong Ye Tan

Read more at: Accelerated, Stochastic and Equivariant Learned Mirror Descent

Accelerated, Stochastic and Equivariant Learned Mirror Descent

Researcher: Hong Ye Tan

Read more at: Deeply Learned Spectral Total Variation Decomposition

Deeply Learned Spectral Total Variation Decomposition

Researcher: Tamara Großmann