4 papers
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51
Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…
Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET
Kartikay Tehlan, Thomas Wendler
Dynamic positron emission tomography (PET) with [F]FDG enables non-invasive quantification of glucose metabolism through kinetic analysis, often modelled by the two-tissue c…
Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation
Valentin Langer, Kartikay Tehlan, Thomas Wendler
Accurate kinetic analysis of [F]FDG distribution in dynamic positron emission tomography (PET) requires anatomically constrained modelling of image-derived input functions (…
Fine-Tuning TransMorph with Gradient Correlation for Anatomical Alignment
Lukas Förner, Kartikay Tehlan, Thomas Wendler
Unsupervised deep learning is a promising method in brain MRI registration to reduce the reliance on anatomical labels, while still achieving anatomically accurate transformations.…