Sturgeon is a CNS neural network classifier

a PyQt5 Implementation

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"

3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes

Clinical oncology tumor board decision support system made by the Decider project.

This repository covers a brain scan tumor classification project for the University of Washington DATA 515 course. In our project we train a CNN to predict if a MRI scan (.jpg, .png, .jpeg) is tumorous or not.

🐳 Dockerized WES pipeline for variants identification in mathced tumor-normal samples

Automated meningioma segmentation

Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.

Mouse nEoanTigen pRedictOr

🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI

Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈

A 3D Slicer Module that 1. uses ROBEX brain extraction to generate mesh.obj; 2. tumor label mask to mesh.obj

A visualisation tool for making a 3d head out of MRI brain scans

Open source code currently ready for submission, SAMRNet structure for brain tumor segmentation

Real-time 2D Beamforming Simulator that allows users to construct and visualize their own phased arrays system. Study the system's constructive/destructive interference in a heat map as well as beam profile plot in polar coordinates.

A simple module for diagnostic variant information parsing

This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.