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

The official implementations of our BIBM'24 paper: Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading

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

Glioblasted is a machine learning model to detect glioblastoma, a high-grade, aggressive form of brain and/or spine cancer.

Contribution to the BraTS-Path 2024 Challenge

Glioblastoma multiforme (GBM) biomarker knowledge base

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

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

A Bayesian network analysis of treatment-gene expression relationships in patients with Glioblastoma multiforme.

Compares the signals from different regions of interest (ROIs) to determine which ROIs belong to the same cell. Used for glioblastoma images.

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

Statistical testing for GBM Margin/ Primary tumours

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