Scholar
Paul Friedrich
Google Scholar ID: jz_CjHYAAAAJ
Department of Biomedical Engineering, University of Basel
Citations & Impact
Citations
186
H-index
6
i10-index
5
Publications
14
Co-authors
18
list available
Resume (English only)
Academic Achievements
- Published a new preprint on arXiv in October 2025 about an implicit neural representation framework for tabular data imputation; Co-authored 4 papers accepted at different MICCAI 2025 workshops in August 2025; Published a paper in the International Journal of Computer Assisted Radiology and Surgery in March 2025 on generating 3D pseudo-healthy knee MR images to support trochleoplasty planning; Released a preprint on arXiv in February 2025 introducing modality-agnostic continuous data representation based on meta-learned neural fields; Published a review chapter in Generative Machine Learning Models in Medical Image Computing in December 2024; Published a conference paper in October 2024 proposing 3D wavelet diffusion models for high-resolution medical image synthesis.
Research Experience
- Current research work is part of the MIRACLE II project, focusing on conditional shape generation and manipulation tasks as well as (un)conditional 3D medical image generation.
Education
- Pursuing his PhD at the Center for Medical Image Analysis and Navigation (CIAN) of the University of Basel, supervised by Philippe Cattin and Florian Thieringer.
Background
- Third-year PhD student, with research interests in medical image analysis, implicit neural representations, 3D deep learning, and generative modeling. His current research is part of the MIRACLE II project, focusing on conditional shape generation and manipulation tasks as well as (un)conditional 3D medical image generation. Particularly interested in various types of 3D data representations including voxel grids, point clouds, meshes, triplanes, and neural implicit representations.
