Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Object-Attribute Biclustering for Genome-Wide Association Studies

This repository contains MATLAB code for remotely controlling a Vector Network Analyzer (VNA) to perform measurements on a head phantom equipped with an antenna helmet. The project aims to collect extensive data across multiple stroke configurations and phantom inclinations.

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.

Repository for the paper "Clinical outcome prediction using observational supervision with electronic health records and audit logs"

This study used the selected predictors obtained from the results of routine blood tests to develop and validate ML-based models for the diagnosis of IS. The XGBoost-based model offers the most accurate prediction.

Develop a predictive model to detect Ischemic Heart Disease using feature analysis and machine learning techniques.

This repository contains binary transcriptomic data of NVU cells post ischemic stroke in mice

This was a case-control study based on the retrospective review of electronic medical records from two hospitals. Discovery dataset including 1:1 matched IS-present cases vs. healthy controls; while validation dataset including 1:1 matched IS-present vs. IS-absent (IS mimics) individuals