-
Amsterdam University Medical Centers
- https://orcid.org/0000-0001-5983-0322
- in/dimitrios-karkalousos
- https://huggingface.co/wdika
Highlights
- Pro
Block or Report
Block or report wdika
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (3)
Sort Name ascending (A-Z)
Language
Sort by: Recently starred
Starred repositories
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
We provide a step-by-step protocol to perform body composition measures of muscle and fat tissue in computed tomography images at L3 level. It is featured from an already available protocol of the …
Pipeline for segmentation and postprocessing of CT to determine body composition measures
An artificial intelligence model for body composition analysis in CT scans
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, an…
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency
PyTorch implementation of the Bounding Box Network (BoBNet) from the ConvNet-Based Localization of Anatomical Structures in 3D Medical Images paper.
YOLOv10: Real-Time End-to-End Object Detection
🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
llama3 implementation one matrix multiplication at a time
Official repository for "AM-RADIO: Reduce All Domains Into One"
Sparsely Annotated Region and Organ Segmentation (SAROS) - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data
Pytorch implementation of RetinaNet object detection.
A deep learning model (Tri2D-Net) for predicting cardiovascular disease risks from lung cancer screening LDCT
MONAI Label is an intelligent open source image labeling and learning tool.
👋 Xplique is a Neural Networks Explainability Toolbox
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation for machine learning experiments.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
A tiny GitHub searcher using the GitHub API. No authentication required.