Name: Michele Scipioni
Type: User
Company: MGH Athinoula A. Martinos Center for Biomedical Imaging
Bio: Postdoctoral Research Fellow, interested in tomographic image reconstruction for medical imaging (PET/MRI) and kinetic modeling for map generation.
Location: Boston, MA, USA
Blog: mscipio.github.io
Michele Scipioni's Projects
Example code related to publication "Accelerated PET kinetic maps estimation by analytic fitting method"
Coursera test repository
Docker (development) image with everything set up to work with `tomolab` and `NiftyRec`
TensorFlow documentation
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Dynamic PET simulator of tracers via emission projection for kinetic modeling and parametic image studies
Create a custom league page for your Sleeper fantasy football league!
poster and proceeding for the EMBC 2019, Berlin (Germany), July 23-27, 2019
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
GPU-CUDA toolbox for fitting compartmental models to 4D medical dynamic volumes, based on Maximum-a-Posteriori Levemberg-Marquardt optimization of non-linear kinetic models implemented using pyCUDA and cuBLAS python interfaces.
hugo_website
Python library for parsing interfile files
A repository to practice your git skills
Kinetic Modeling Toolbox designed to estimate kinetic parameters from 4D PET and DCE-MRI dataset at a ROI level
Kinetic Modeling library built on top of Pytorch
Lectures given at university
Negative Binomial Distribution: update of the Matlab functions related to NBin distribution so that it can be defined with respect to mu (mean) and alpha (dispersion) parameters
View brain images in the ipython notebook using papaya.js
NiftyRec is a software toolbox for Tomographic image reconstruction. NiftyRec is written in C and computationally intensive functions have a GPU accelerated version based on NVidia CUDA. NiftyRec includes a Matlab Toolbox and a Python Package that access the low level routines, hiding the complexity of the GPU accelerated algorithms.
NiftyRec is a software toolbox for Tomographic image reconstruction. NiftyRec is written in C and computationally intensive functions have a GPU accelerated version based on NVidia CUDA. NiftyRec includes a Matlab Toolbox and a Python Package that access the low level routines, hiding the complexity of the GPU accelerated algorithms.
Tomographic vision
Tomographic reconstruction software for PET, PET-MRI and SPECT in 2D, 3D (volumetric) and 4D (spatio-temporal) in Python.
Read Siemens raw data
Python 3 porting of the previous project `Occiput.io`, which is now no longer supported
Custom zshrc file and plugin folder