Modular and scalable computational imaging in Python with GPU/out-of-core computing.
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Updated
May 7, 2024 - Python
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Inverse Decomposition of Energy Consumption (NILM)
Signal and image denoising using quantum adaptive transformation.
A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Single image super resolution algorithm RED+ADMM+De-QuIP
Bayesian model reconstruction based on astronomical spectral line observations.
Denoising by Quantum Interactive Patches
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.
Code for generating deep learning data through X-ray tomography for object detection
laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem
crEITive is a software tool for complex geometrical optics reconstruction for the 3D Calderón problem
Temporal laser-pulse-shape effects in nonlinear Thomson scattering
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.
The Taut String Approach to Statistical Inverse Problems
EEG/MEG Forward and Inverse (Multilayer Source Space) Problem Pipeline (FieldTrip-based Toolbox)
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