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Department of Applied Mathematics and Theoretical Physics
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Cambridge Image Analysis
Home
People
Research Interests
Arts Restoration
Inverse Problems
Biomedical Imaging
Machine Learning
Optimisation
PDEs
Registration and Motion Estimation
Remote Sensing
Segmentation
Publications
PhD Theses
Research Papers
Softwares
Acceleration of the PDHGM on strongly convex subspaces
Anisotropic osmosis filtering for shadow removal in images
Diffusion tensor imaging with deterministic error bounds
Learning Filter Functions in Regularisers by Minimising Quotients
Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation
Preconditioned ADMM with nonlinear operator constraint
Outreach
COVID-19 Collaboration
INTEGRAL
Historic Collaboration
Teaching
Current Term
Introduction to Nonlinear Spectral Analysis
Previous terms
Inverse Problems (Michaelmas 2020)
Inverse Problems (Michaelmas 2019)
Bayesian Inverse Problems (Lent 2019)
Introduction to Optimal Transport (Lent 2019)
Inverse Problems (Lent 2018)
Inverse Problems in Imaging (Michaelmas 2018)
Inverse Problems in Imaging (2016)
Seminars
Vacancies
Internal
Contacts
Current Term
Cambridge Image Analysis
Teaching
Current Term
Introduction to Nonlinear Spectral Analysis
Previous terms
Lent Term 2021/22
Graduate (non-examinable):
Introduction to Nonlinear Spectral Analysis
( Y. Korolev )
