4 papers · 1 filter
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…