Quality Assurance of Nasopharyngeal Cancer Radiation Therapy Targets (CTV's) using a novel web-based quality assurance application

References and resources associated with the ISMB 2021 Special Session presentation SST03: New developments in AI for Integrating imaging and genomic data

Paper published in the 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2023)

A Code Base for Our Team Research

Personal page of Renato Cuocolo

The segmentation in this project is conducted through the nnUNet framework, followed by the extraction of pituitary tumor features using the radiomics package. The final step involves designing the classifier using the scikit-learn package, resulting in an achieved classification accuracy of approximately 91%.

Radiomics pipeline for TCGA datasets

This is the home for deployment scripts used to setup the Radiomics platform. This site was published at data.radiomics.io and maintained by @Kitware.

SQLite4Radiomics is a Conquest DICOM & pyradiomics integration software project

Repeatability of Multiparametric Prostate MRI Radiomics Features

A radiomic interpretation tool based on Shapley values

Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.

MEDimage is a user-friendly application that enables the extraction and analysis of radiomics features from medical images, integrating advanced machine learning models to enhance medical research.

Endometrial cancer MRI radiomics

Source code in research paper "Prediction of high Ki-67 proliferation index of gastrointestinal stromal tumors based on CT at different phases"

MRI radiomics and machine learning atypical cartilaginous tumor and G2 chondrosarcoma classification project

Python Open-source package for medical images processing and radiomics features extraction.