Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.

Xin's insights into computational optics

Signal and image denoising using quantum adaptive transformation.

Deep Denoising by Quantum Interactive Patches. A deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.

Denoising by Quantum Interactive Patches

Single image super resolution algorithm RED+ADMM+De-QuIP

Bayesian model reconstruction based on astronomical spectral line observations.

A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space

laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem

Inverse Decomposition of Energy Consumption (NILM)

crEITive is a software tool for complex geometrical optics reconstruction for the 3D Calderón problem

Temporal laser-pulse-shape effects in nonlinear Thomson scattering

Code for generating deep learning data through X-ray tomography for object detection

MATLAB code for "Application of the cut-off projection to solve a backward heat conduction problem in a two-slab composite system"

MATLAB implementation of "Fourier Phase Retrieval with Arbitrary Reference Signal" paper accepted at IEEE ICASSP 2020.

An approach of solving the most fundamental and important geodetic tasks with usage of ellipsoidal chords (slant distances) proposed by Molodensky.

The Taut String Approach to Statistical Inverse Problems

EEG/MEG Forward and Inverse (Multilayer Source Space) Problem Pipeline (FieldTrip-based Toolbox)