PNH segmentation pipelines based on nipype

BrainSuite's structural, diffusion, and functional MRI processing pipelines with QC functionalities.

An AI-powered deep learning system using VGG16 transfer learning to classify brain tumors (glioma, meningioma, pituitary, no tumor) from MRI scans. Built with TensorFlow, deployed on Render with Flask.

Code for multi-echo combination for QSM MRI

🧠 Detect brain tumors from MRI images using a CNN model! 📸 This project preprocesses images, trains a model with ~2065 augmented samples, and achieves high accuracy. Features ROC analysis & single-image prediction. Perfect for medical AI enthusiasts! 🚀

MRI Swarm is an enterprise-grade system built with Swarms, the leading production-ready multi-agent framework. It coordinates a team of specialized medical imaging agents to analyze MRI scans, with each agent focusing on different aspects of interpretation to provide detailed and accurate analysis.

🧠 Brain-Tumor-Detection 📷 is a project that uses machine learning and computer vision techniques to automatically detect brain tumors from MRI images. 🔍🤖

Репозиторий реализует модели глубокого обучения для обнаружения ишемического инсульта на FLAIR МРТ-сканах путём анализа симметрии между полушариями мозга. Подход сочетает 2D/3D-CNN и топологический анализ данных для интерпретируемой диагностики.

NeuroScanNet is a deep learning-based brain tumor classification model using EfficientNetB1 and Grad-CAM for high accuracy and interpretability. It classifies MRI scans into four tumor types with 98.85% accuracy.

An advanced image segmentation toolkit leveraging the Improved Intuitionistic Fuzzy C-Means (IIFCM) algorithm, specifically tailored for magnetic resonance (MR) image analysis

A curated list of measures, tools, and references for MRI quality control (QC).

Master internship CRMBM 2020, MRI data of Charcot Marie Tooth disease type 1B

Guide to perform cerebral blood flow (CBF) processing on an arterial spin labelling (ASL) image with ANTs and FSL. The required codes are provided and explained.

End-to-end cancer detection pipeline using MRI scans (Prostate & Breast) with PyTorch, Flask API, and React frontend.

Matlab script for extracting GMV (and WMV) values from specific ROIs.

job advert **not currently on offer**

A toy project that aims at an introductory tutorial on the spontaneous spectral spatial selectivity in MRI

Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)