Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors. - Laura Dal Toso; Elisabeth Pfaehler; Ronald Boellaard; Julia A. Schnabel; Paul K. Marsden (MLMIR@MICCAI, 2019)

Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images. - Elisabeth Pfaehler; Liesbet Mesotten; Gem Kramer; Michiel Thomeer; Karolien Vanhove; Johan de Jong; Peter Adriaensens; Otto S. Hoekstra; Ronald Boellaard (MIUA, 2020)

Untrained Perceptual Loss for image denoising of line-like structures in MR images. - Elisabeth Pfaehler; Daniel Pflugfelder; Hanno Scharr (CoRR, 2024)

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. - Xin Liu; Mario Rüttgers; Alessio Quercia; Romain Egele; Elisabeth Pfaehler; Rushikesh Shende; Marcel Aach; Wolfgang Schröder 001; Prasanna Balaprakash; Andreas Lintermann (Future Gener. Comput. Syst., 2024)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM). - Arya Bangun; Zhuo Cao; Alessio Quercia; Hanno Scharr; Elisabeth Pfaehler (WACV, 2025)

Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation. - Omini Rathore; Richard Paul; Abigail Morrison; Hanno Scharr; Elisabeth Pfaehler (CoRR, 2025)