47 citations · 114 across the 19 of their papers we have counts for
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Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms
Alexis Goujon, Sebastian Neumayer, Michael Unser
We propose to learn non-convex regularizers with a prescribed upper bound on their weak-convexity modulus. Such regularizers give rise to variational denoisers that minimize a conv…
Self-Supervised Isotropic Superresolution Fetal Brain MRI
Kay Lächler, Hélène Lajous, Michael Unser +2
Superresolution T2-weighted fetal-brain magnetic-resonance imaging (FBMRI) traditionally relies on the availability of several orthogonal low-resolution series of 2-dimensional thi…
Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver
Tao Hong, Thanh-an Pham, Eran Treister +1
Diffraction tomography is a noninvasive technique that estimates the refractive indices of unknown objects and involves an inverse-scattering problem governed by the wave equation.…
Optimal-transport-based metric for SMLM
Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla +2
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is avai…
Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM
Mona Zehni, Laurène Donati, Emmanuel Soubies +2
Single-particle cryo-electron microscopy (cryo-EM) reconstructs the three-dimensional (3D) structure of bio-molecules from a large set of 2D projection images with random and unkno…
Three-Dimensional Optical Diffraction Tomography with Lippmann-Schwinger Model
Thanh-an Pham, Emmanuel Soubies, Ahmed Ayoub +3
A broad class of imaging modalities involve the resolution of an inverse-scattering problem. Among them, three-dimensional optical diffraction tomography (ODT) comes with its own c…