113 citations · 247 across the 38 of their papers we have counts for
4 papers · 2 filters
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…
Time-Dependent Deep Image Prior for Dynamic MRI
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta +3
We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study…
Dictionary Learning for Two-Dimensional Kendall Shapes
Anna Song, Virginie Uhlmann, Julien Fageot +1
We propose a novel sparse dictionary learning method for planar shapes in the sense of Kendall, namely configurations of landmarks in the plane considered up to similitudes. Our sh…
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks
Michael T. McCann, Michael Unser
This tutorial covers biomedical image reconstruction, from the foundational concepts of system modeling and direct reconstruction to modern sparsity and learning-based approaches.…