Partial Volume Correction in PET

Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist

Automated brain PET analysis pipeline

Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Networks

Stochastic PDHG with Arbitrary Sampling and Imaging Applications

REACT: Receptor-Enriched Analysis of functional Connectivity by Targets

Command line tools for PET-MR (pre-)processing

SimPET is a framework intended to setup and launch PET imaging Monte Carlo simulations on a simple way. It uses popular tools such as SimSET and STIR

This repository contains CMOS designs and performance outputs of time-to-digital converter (TDC) architectures.

Simulation and analysis code to accompany the paper (still to come...)

Data model and example code for PETSIRD

tacmagic: PET Analysis in R

Classification CNN to predict colorectal cancer on PET slices in the transverse plane.

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

Code used in relation to the neurodegenerative disorder study with [11C]PiB and [18F]FE-PE2I tracers (2022). Image preparation, model inference and metrics extraction.

Implementation of RESOLUTE pseudo-CT method for mMR.

Scripts for analyzing and visualizing research data

This package provides auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data. This package is developed as an auxiliary package to the project:

Képalkotás szenzor adatokból

This repository is the result of an academic project at Ecole Centrale in Nantes, France, with my classmate @damien-gautier-nantes. The aim of this project was to evaluate the performance of universal segmentation models for segmenting cancerous lesions. The UniverSeg and Segment Anything (SAM) models were tested.