Career
2021-present: PhD student in Mathematics of Information, University of Cambridge, UK
2018-2021: M.Sc. in Computer Science, University of Siegen, Germany
2015-2018: B.Sc. in Computer Science, Baden-Württemberg Cooperative State University Mannheim, Germany
Research
Christina is a PhD student at the Cambridge Image Analysis Group within the Department of Applied Mathematics and Theoretical Physics. She is also a member of the Cantab Capital Institute for the Mathematics of Information. Her current research focusses on deep learning and (medical) image analysis.
Publications
Learning Posterior Distributions in Underdetermined Inverse Problems
(2023)
14009,
187
(doi: 10.1007/978-3-031-31975-4_15)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer
Classification
– MICCAI 2022
(2022)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient
Spectral Normalization
(2021)
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
– 2020 25th International Conference on Pattern Recognition (ICPR)
(2020)
00,
5246