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Name: Julian McGinnis
Type: User
Company: Technical University of Munich
Twitter: jqmcginnis
Location: Munich, Germany
Name: Julian McGinnis
Type: User
Company: Technical University of Munich
Twitter: jqmcginnis
Location: Munich, Germany
[peer review] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
A curated list of awesome resources for image alignment and stitching ...
A curated list of resources on implicit neural representations.
Implementation of Axial-MLP in PyTorch
Implementation of Axial-MLP in PyTorch
This is a repository to facilitate the integration of BioMedIA's stitching module for spinal cord toolbox.
ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
A pipeline to automatically preprocess, analyze and visualize resting state EEG data.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).
MRI brain extraction tool
Source code for setting up training of nn-UNet based model for ICH segmentation, and the visualization of the results,
Montaging for microscopy imaging files
Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.
High-Resolution Image Synthesis with Latent Diffusion Models
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Deep-learning based segmentation of the spinal cord lesion project
Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Benchmark datasets, data loaders, and evaluators for graph machine learning
Position-aware Graph Neural Networks
Image-to-image translation with conditional adversarial nets
3D U-Net model for volumetric semantic segmentation written in pytorch
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.