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9 Jul 2024: Download the programme of talks. ... Download the detailed information sheet for participants.

9 Jul 2024: Search site. Cambridge Image Analysis. Simone Parisotto. Anisotropic variational models and PDEs for inverse imaging problems. Abstract: In this thesis we study new anisotropic variational regularisers and partial differential equations (PDEs) for

9 Jul 2024: Search site. Cambridge Image Analysis. Robert Tovey. Mathematical Challenges in Electron Microscopy. Abstract: Development of electron microscopes first started nearly 100 years ago and they are now a mature imaging modality with many applications

9 Jul 2024: Search site. Cambridge Image Analysis. Xiaoyu Wang. Neural Network Training and Inversion with a Bregman Learning Framework. Abstract: Deep Neural Networks (DNNs) are powerful computing systems that have revolutionised a wide range of research

9 Jul 2024: Search site. Cambridge Image Analysis. Luca Calatroni. New PDE models for imaging problems and applications. Abstract: Variational methods and Partial Differential Equations (PDEs) have been extensively employed for the mathematical formulation of a

9 Jul 2024: Search site. Cambridge Image Analysis. Juheon Lee. Mapping individual trees from airborne multi-sensor imagery. Abstract: Airborne multi-sensor imaging is increasingly used to examine vegetation properties. The advantage of using multiple types of

9 Jul 2024: Search site. Cambridge Image Analysis. Joana Grah. Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation. Abstract: This dissertation deals with customised image analysis tools in cancer research. In the

9 Jul 2024: Search site. Cambridge Image Analysis. Sebastian Lunz. Machine Learning in Inverse Problems - Learning Regularisation Functionals and Operator Corrections. Abstract: This thesis deals with the analysis and numerical simulation of anisotropic

9 Jul 2024: Search site. Cambridge Image Analysis. Derek Driggs. Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise. Abstract: Over the past decade, the overlap between machine learning and

9 Jul 2024: Search site. Cambridge Image Analysis. Veronica Corona. Variational Multi-Task Models for Image Analysis: Applications to Magnetic Resonance Imaging. Abstract: This thesis deals with the study and development of several variational multi-task models