7 papers
Implicit Neural Representations for Multimodal Longitudinal Image Imputation and Interpolation
Sina Wendrich, Lukas Förner, Zoe Reinke +5
Longitudinal multiparametric MRI is central to follow-up imaging in oncology, yet real-world clinical data are characterised by missing sequences, heterogeneous acquisition protoco…
Inverse Bayesian Inference for Extracting Lesion Dynamics from Longitudinal Spectral CT
Lukas Förner, Melina Wördehoff, Julian Steffens +6
Longitudinal medical imaging captures temporal evolution of lesions, yet extracting the underlying dynamical parameters governing this evolution remains challenging. We propose an…
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
Kartikay Tehlan, Lukas Förner, Sina Wendrich +5
We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-specific energy modelling in sequence space. Rather than operating on images with s…
Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations
Sonja Adomeit, Kartikay Tehlan, Lukas Förner +7
Multimodal imaging analysis often relies on joint latent representations, yet these approaches rarely define what information is shared versus modality-specific. Clarifying this di…
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 (…