Topic: glioblastoma Goto Github
Some thing interesting about glioblastoma
Some thing interesting about glioblastoma
glioblastoma,Glioblasted is a machine learning model to detect glioblastoma, a high-grade, aggressive form of brain and/or spine cancer.
User: aaravdave
glioblastoma,Glioblastoma multiforme (GBM) biomarker knowledge base
Organization: aipband
glioblastoma,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.
User: alelicciardi99
glioblastoma,
User: alvarovillamizar
glioblastoma,Reference code for "Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network"
User: amarcu5
Home Page: https://www.nature.com/articles/s41598-020-62160-2
glioblastoma,Statistical testing for GBM Margin/ Primary tumours
User: caravagn
glioblastoma,This repository contains the code for my MSc project titled "Investigating therapy-driven changes in isoform expression in glioblastoma"
User: catherinelebek
glioblastoma,Code used to create the core and extended GBmap, including downstream analyses (cell-cell interactions, spatial transcriptomics deconvolution) and how to produce the figures.
User: ccruizm
glioblastoma,Accurate Early Detection of GBM Brain Cancer With Deep Learning (AI) - Silver Medal Finalist at GVRSF 2019
User: frankwhoee
glioblastoma,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.
User: gianlucaporcelli
glioblastoma,Validating glioblastoma immune cell immunohistochemsitry using computational deconvolution of TCGA tumors
Organization: greenelab
glioblastoma,Image process framework to easily analyse fluorescent glioblastoma cells in pattern of neurons.
User: guyon-j
glioblastoma,Glioblastoma tumour classfication and tumour grade segmentattion using U-NET CNN
User: ironghost007
glioblastoma,Compares the signals from different regions of interest (ROIs) to determine which ROIs belong to the same cell. Used for glioblastoma images.
User: julian-webb
glioblastoma,Gene signature analysis of TCGA glioblastoma data
User: lalghalith
glioblastoma,Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
User: neuronflow
Home Page: https://www.frontiersin.org/articles/10.3389/fnins.2020.00125/full
glioblastoma,A fast C++ based implementation of the CA-PPMx by Chandra et al. (2023+).
User: noirritchandra
Home Page: https://doi.org/10.1080/01621459.2023.2231581
glioblastoma,Methods for training and interpreting deep radiogenomic neural networks
User: novasmedley
glioblastoma,NucleiJ is a Java-based application that supports research into glioblastoma, a fast-growing and aggressive brain tumour. Cross-sectional images are analysed automatically using image processing.
Organization: nucleij
glioblastoma,Source code for "Overexpression of CRNDE in glioblastoma is a poor survival prognosis biomarker" paper
User: raevskymichail
glioblastoma,This repository contains primary source code for "Transcriptomic portraits and molecular pathway activation features of spinal intramedullary astrocytomas" manuscript.
User: raevskymichail
glioblastoma,Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes
Organization: raidionics
Home Page: https://raidionics.github.io/
glioblastoma,https://doi.org/10.5281/zenodo.6941367 - Spatiotemporal-Aware Glioblastoma Multiforme Tumor Growth Modeling with Deep Encoder-Decoder Networks
User: rjain12
glioblastoma,Automating exosome-based glioblastoma diagnosis through bioinformatics and machine learning
User: tatartayfun
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