Variational Multi-Task Models for Image Analysis: Applications to Magnetic Resonance Imaging

Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation

Mapping individual trees from airborne multi-sensor imagery

Novel higher order regularisation methods for image reconstruction

Structure-preserving machine learning for inverse problems

Machine Learning in Inverse Problems - Learning Regularisation Functionals and Operator Corrections

Accelerated Optimisation Algorithms for Machine Learning and Image Processing

Deep Learning Approaches for PDE-based Image Analysis and Beyond: From the Total Variation Flow to Medieval Paper Analysis

Topics in Deep Generative Modelling Mathematical and Computational Aspects of Diffusion Models and Generative Adversarial Networks

Riemannian geometry for inverse problems in cryogenic electron microscopy

A Deep Learning Approach to Automated Coeliac Disease Diagnosis

Abstract: Coeliac disease (CD) is a small intestinal autoimmune disorder triggered by the consumption of gluten. Manifestations are variable and non-specific, ranging from no symptoms, through fatigue, diarrhoea, and vomiting, and, in rare cases, lymphoma and duodenal cancer. The treatment consists of a lifelong gluten-free diet, making early and accurate diagnoses of critical importance.