10 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…
Beyond the LUMIR challenge: The pathway to foundational registration models
Junyu Chen, Shuwen Wei, Joel Honkamaa +33
Medical image challenges have played a transformative role in advancing the field, catalyzing innovation and establishing new performance benchmarks. Image registration, a foundati…
Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
Helena Stegherr, Michael Heider, Nils Meyer +7
Evolutionary computation offers a variety of tools to solve complex real-world optimization problems. However, research often focuses on smaller, simplified problems and optimizati…
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…