Andrey Fedorov fedorov
-
Brigham and Women's Hospital
- Boston, MA
- https://orcid.org/0000-0003-4806-9413
- https://imaging.datacommons.cancer.gov
- in/andreyfedorov
- https://connects.catalyst.harvard.edu/Profiles/display/Person/71748
Organizations
@commontk @InsightSoftwareConsortium @Slicer @NA-MIC @QIICR @OHIF @SlicerProstate @ImagingDataCommons @MHubAIStars
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Repo for Better Code, Better Science book
Tools for comparing the results of AI segmentation.
A Claude skill for exploring cancer imaging data from the Imaging Data Commons (IDC)
Plugin for your LLM agent specializing in enabling natural language interface to IDC
AGENTS.md β a simple, open format for guiding coding agents
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle
Code samples used on cloud.google.com
Mermaid diagrams in yours sphinx powered docs
Brainchop: In-browser 3D MRI rendering and segmentation
π An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
A Model Context Protocol server for 3D Slicer integration
Computed tomography to body composition (Comp2Comp).
A set of ready to use scientific skills for Claude
non-interactive DICOM viewer for IDC image series data
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.
Evaluation of label free cell and nuclei segmentation
Convert portions of text to fancy text using unicode fonts for use on Twitter and other sites that don't support rich text
Browser-based code for accessing IDC data resources
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed ...
π©» Whole-body CT segmentation made simple: 22,022 scans, 167 structures, one open solution.