Matteo Maspero's Projects
Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix
Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
Matlab code reproducing the analisys perfomed in Maspero et al (2017), under submission to Radiation Oncology and dedicated to prostate cancer external beam Radiotherapy.
Matlab code to produce bulk assigned pseudo-CT (pCT) with internal air cavities modifying the pCT generated with a commercial solution originally designed for external beam photon Radiotherapy
Repository to collect all the references on generation of synthetic computed tomography (sCT) with deep learning/convolutional networks. Generated from Spadea MF, Maspero M et al Med. Phys. 2021
Matlab Script to generate the dicom files of pCT with Unique Identifiers as described in Maspero et al (2016)
MONAI tutorials.