KCL-BMEIS/VS_Seg

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43
Rank 645,449 (Top 13 %)
Language
Python
License
Apache License 2.0
Created over 4 years ago
Updated 12 months ago

KCL-BMEIS/VS_Seg

KCL-BMEIS

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Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)

niftyreg

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

lbr_fri_ros2_stack

ROS 1/2 integration for KUKA LBR Med and IIWA

NiftySeg

ScribbleDA

ExeTera

Reproducible analysis pipelines for large tabular datasets

mirror_symmetry

pymagewell

Python library for interfacing with Magewell ProCapture frame grabbers

AdvancedMachineLearningCourse

Advanced Machine Learning Course

Jupyter Notebook

vs-koos-classification

Scripts for Automated Koos Classifcation of Vestibular Schwannoma

Jupyter Notebook

KCL-DGX-cluster-documentation

fri

CMake support for KUKA's FRI Client SDK

spectrumdevice

Python library for communicating with digitisers manufactured by Spectrum Instrumentation

lbr_fri_ros2_stack_doc

DASHER

Data Anonymisation and Synchronisation for HEalthcare Research

runai_custom_conda_docker

RandomDataset

Generates random tabular datasets for testing and fun

xnat_python_scripts

Set of python scripts used to interact with XNAT mostly via the rest

trajectory_replay

labsnake

Real-time scientific data acquisition, analysis and visualisation desktop application in Python

kcl-bmeis.github.io

Repository that contains the source of the https://kcl-bmeis.github.io/ webpage

xnat_form_maker

Script to generate XNAT Form Plugins from Excell spreadsheets and RedCap Data Dictionaries

OOP

Updated course for OOP

gif

TWAISurgRob-OSS-List

A list of open-source software projects related to the CME - Pillar 3