Pydra tasks for PETPVC designed for Clinica
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Updated
Apr 30, 2024 - Python
Pydra tasks for PETPVC designed for Clinica
This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.
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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.
A minimum Monte Carlo simulation code for positron propagation in the magnetic field.
Code and code fragments and useful informations I am using in my research in computed tomomography
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:
Implementation of RESOLUTE pseudo-CT method for mMR.
Scripts for analyzing and visualizing research data
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.
DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications
Classification CNN to predict colorectal cancer on PET slices in the transverse plane.
tacmagic: PET Analysis in R
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...)
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
Command line tools for PET-MR (pre-)processing
REACT: Receptor-Enriched Analysis of functional Connectivity by Targets
Stochastic PDHG with Arbitrary Sampling and Imaging Applications
Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Networks
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