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Hi there, I'm Dr Richard Brown 👋

📚 About Me:

  • 👨‍💻 Postdoctoral research associate at King's Collge London.
  • 👨‍💻 Currently working full-time on MONAI, a deep-learning framework for medical imaging built on pytorch.
  • 🎓 My Research gate
  • 👨‍🏫 PhD on treatment planning for glioblastoma radiotherapy, written in C++ with a Qt-GUI and VTK backend.
  • 🔧 Developed open-source software for synergistic PET/MR reconstruction and image registration, see SIRF and STIR. That project was equal balances of C++, Python and Matlab.
  • 📧 You can reach me at: [email protected]

👨🏻‍💻 Languages/Tools:

c cplusplus python matlab bash git github docker vscode pytorch

📈 Github stats:

Richard's GitHub stats

Richard Brown's Projects

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

monai icon monai

AI Toolkit for Healthcare Imaging

monai-test-data icon monai-test-data

test repository for storing networks and their forward data to ensure consistency

monailabel icon monailabel

MONAI Label is an intelligent open source image labeling and learning tool.

niftyreg icon niftyreg

This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities

nipet icon nipet

High-throughput PET image reconstruction with high quantitative accuracy and precision

nndetection icon nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

sirf icon sirf

Main repository for the CCPPETMR software

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

stir icon stir

Software for Tomographic Image Reconstruction

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