Explore DICOM datasets and set up ROR research workflows.
npx skills add https://github.com/MMIV-ML/fastMONAI --skill ror-workflow
Please help me install this Agent Skill. Skill: ror-workflow Source: https://github.com/MMIV-ML/fastMONAI/tree/main/.claude/skills/ror-workflow Command: npx skills add https://github.com/MMIV-ML/fastMONAI --skill ror-workflow
This skill enables exploration of DICOM datasets and setup of research workflows using ROR.
Initialize a basic ROR session by creating a new project and listing overview data, then refine with a named-series query using the tools described in references/select-syntax.md.
High-intent search queries and answers about installing and using this skill.
To query DICOM series, apply FILTER-like syntax targeting Modality and SeriesDescription fields to select specific data for batch processing within your research PACS environment.
Navigate research PACS datasets by listing patients, studies, and series along with their associated metadata to discover and explore DICOM data for research workflow setup.
Yes, you can use ROR to initialize projects, configure root settings, import data, and craft multi-step workflows to manage reproducible research projects processing DICOM data.
Initialize a basic ROR session by creating a new project, listing overview data, then refining with a named-series query using the select syntax detailed in the references guide.
Yes, it supports batch processing by allowing you to build and apply FILTER-like queries based on Modality and other DICOM fields to select series or patients for batch processing.
Hung-3008Read and manipulate DICOM imaging data with Python.
JosephWoodallFind and retrieve GEO datasets and annotations for transcriptomics analysis.
qinyan-aiDiscover and download IDC imaging datasets using idc-index and BigQuery.
ovachieverRead, write, and anonymize DICOM files with pydicom.
