ai-med Goto Github PK
Name: Lab for Artificial Intelligence in Medical Imaging
Type: Organization
Bio: @AI_Medic
Blog: ai-med.de
Name: Lab for Artificial Intelligence in Medical Imaging
Type: Organization
Bio: @AI_Medic
Blog: ai-med.de
Adversarial Learned Molecular Graph Inference and Generation
Code for the paper "Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders"
Dynamic Affine Feature Map Transform
Detect and correct bias in neuroimaging
Caffe implementation of DeepNAT for brain segmentation
Pytorch Implementation of MAS-LR, a Continual Learning approach for importance driven incremental domain learning. https://arxiv.org/abs/2005.00079
Repository for the paper "Metadata Normalization"
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Prototypical Additive Neural Network for Interpretable Classification
Official pytorch implementation of Paper - 🍝 PASTA: Pathology-Aware MRI to PET Cross-modal Translation with Diffusion Models - MICCAI 2024
Our work aims to integrate interpretability of neural networks and self-supervised learning on unlabelled datasets.
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Official Pytorch Implementation of Paper - Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data (SVEHNN)
Official PyTorch Implementation for From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data - MIDL 2024
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.