Graphic: Graph-Based Hierarchical Clustering For Single-Molecule Localization Microscopy. - Mehrsa Pourya; Shayan Aziznejad; Michael Unser; Daniel Sage (ISBI, 2021)

Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. - Mehrsa Pourya; Alexis Goujon; Michael Unser (CoRR, 2022)

A Continuous-Domain Solution for Computed Tomography with Hessian Total-Variation Regularization. - Mehrsa Pourya; Youssef Haouchat; Michael Unser (ISBI, 2024)

Random ReLU Neural Networks as Non-Gaussian Processes. - Rahul Parhi; Pakshal Bohra; Ayoub El Biari; Mehrsa Pourya; Michael Unser (CoRR, 2024)

Iteratively Refined Image Reconstruction with Learned Attentive Regularizers. - Mehrsa Pourya; Sebastian Neumayer; Michael Unser (CoRR, 2024)

A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints. - Mehrsa Pourya; Aleix Boquet-Pujadas; Michael Unser (IEEE Trans. Computational Imaging, 2024)

Comparison of 2D Regular Lattices for the CPWL Approximation of Functions. - Mehrsa Pourya; Maïka Nogarotto; Michael Unser (CoRR, 2025)

DEALing with Image Reconstruction: Deep Attentive Least Squares. - Mehrsa Pourya; Erich Kobler; Michael Unser; Sebastian Neumayer (CoRR, 2025)