2 citations · 2 across the 3 of their papers we have counts for
3 papers
Variational Inference Using a Differentiable Multigrid Linear Solver
Andrés Ramírez, 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…
DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue
Philipp Haim, Vasilis Ntziachristos, Torsten Enßlin +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…
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Jan Kukačka, Anja Zenz, Marcel Kollovieh +2
Fundus photography is the primary method for retinal imaging and essential for diabetic retinopathy prevention. Automated segmentation of fundus photographs would improve the quali…