Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.

Code used to create the core and extended GBmap, including downstream analyses (cell-cell interactions, spatial transcriptomics deconvolution) and how to produce the figures.

Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes

Validating glioblastoma immune cell immunohistochemsitry using computational deconvolution of TCGA tumors

Methods for training and interpreting deep radiogenomic neural networks

The work presented explains how to segment the brain tumour area in absence of interaction with user basing his technique on a saliency map constructed from three different resonance techniques.

Gene signature analysis of TCGA glioblastoma data

Glioblastoma multiforme (GBM) biomarker knowledge base

Accurate Early Detection of GBM Brain Cancer With Deep Learning (AI) - Silver Medal Finalist at GVRSF 2019

https://doi.org/10.5281/zenodo.6941367 - Spatiotemporal-Aware Glioblastoma Multiforme Tumor Growth Modeling with Deep Encoder-Decoder Networks

Reference code for "Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network"

Source code for "Overexpression of CRNDE in glioblastoma is a poor survival prognosis biomarker" paper

This repository contains the code for my MSc project titled "Investigating therapy-driven changes in isoform expression in glioblastoma"

A fast C++ based implementation of the CA-PPMx by Chandra et al. (2023+).

Statistical testing for GBM Margin/ Primary tumours

Glioblastoma tumour classfication and tumour grade segmentattion using U-NET CNN

Automating exosome-based glioblastoma diagnosis through bioinformatics and machine learning

Image process framework to easily analyse fluorescent glioblastoma cells in pattern of neurons.

This repository contains primary source code for "Transcriptomic portraits and molecular pathway activation features of spinal intramedullary astrocytomas" manuscript.

This repository contains Matlab codes developed for the thesis of the exam of Mathematical Models for Biomedicine, a.y. 2022-23, Master of Science in Mathematical Engineering at Politecnico di Torino, held by proff. Chiara Giverso, Luigi Preziosi, Luca Mesin. This work had been developed in cooperation with Lorenzo Vito Dal Zovo and Enrico Ortu.