PyTorch library for solving imaging inverse problems using deep learning
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Updated
May 17, 2024 - Python
PyTorch library for solving imaging inverse problems using deep learning
Multi-platform, free open source software for visualization and image computing.
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python API and fully integrated with PyTorch
A 4DCT Viewer written in MATLAB
Result of my Master's Thesis. The Simulator implements physical models, device components and reconstruction algorithms.
Computed Tomography to Finite Elements
Code to the Paper....
Computed tomography to body composition (Comp2Comp).
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...
C/C++ library and Python bindings for x-ray cross sections, x-ray source spectra modeling, multi-material beam hardening correction, and dual energy decomposition algorithms
Data reconstruction and analysis tools for tomography data acquired at the P05 Imaging Beamline (IBL) and the P07 High-Energy Material Science (HEMS) beamline at PETRA III at DESY, both operated by Helmholtz-Zentrum Hereon.
Mesh processing application
A Python library for analyzing and simulating observations from computed tomography imaging spectrographs (CTIS).
My thesis for the BSc in Physics of the University of Bologna.
Medical image processing in Python
Interactive demonstrations of medical physics imaging applications for Spring 2024 BIOS29326
Assorted machine learning implementations for medical data.
MATLAB and Python code for single-shot, high-resolution tomographic imaging of discrete dynamic objects.
Awesome CT Reconstruction
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
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