3 papers
math.NA2026
Variational Inference Using a Differentiable Multigrid Linear Solver
Andrés RamÃrez, Philipp Haim, David Föger +9
Gradient-based Bayesian inference methods require efficient access to Jacobian and adjoint-Jacobian operators of high-dimensional forward models. While multigrid solvers provide ne…
eess.IV2026
Conditioning Deep Anatomical Prior Knowledge for Reconstruction of Multispectral Optoacoustic Tomography Images
Sarah Franceschin, Lukas Imanuel Scheel-Platz, Philipp Haim +3
Accurately delineating tissues and reconstructing their chromophore compositions from Multispectral Optoacoustic Tomography (MSOT) images is a key challenge in optoacoustic imaging…
cs.LG2026
DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue
Philipp Haim, Vasilis Ntziachristos, Torsten EnÃlin +1
In optoacoustic imaging, recovering the absorption coefficients of tissue by inverting the light transport remains a challenging problem. Improvements in solving this problem can g…