GiannakopoulosIlias/vision-transformer-network-for-mr-electrical-properties-tomography
A 3D Vision Transformer-based neural network for reconstructing electrical properties of tissues from MRI data.
This tool helps medical researchers and physicists reconstruct electrical properties of tissues and materials from magnetic resonance imaging (MRI) data. You input raw MR measurements (specifically transmit field magnitude and transceive phase) and it outputs detailed 3D maps of relative permittivity and electrical conductivity within the scanned object. It's designed for scientists working with MRI to understand tissue composition.
No commits in the last 6 months.
Use this if you need to derive quantitative electrical property maps from MR measurements for research or diagnostic development.
Not ideal if you are working with real-world, clinical MRI data, as this project is built and tested exclusively on simulated data.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Apr 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/GiannakopoulosIlias/vision-transformer-network-for-mr-electrical-properties-tomography"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Kohulan/DECIMER-Image_Transformer
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of...
sovit-123/vision_transformers
Vision Transformers for image classification, image segmentation, and object detection.
fcakyon/video-transformers
Easiest way of fine-tuning HuggingFace video classification models
leaderj1001/BottleneckTransformers
Bottleneck Transformers for Visual Recognition
qubvel/transformers-notebooks
Inference and fine-tuning examples for vision models from 🤗 Transformers