Optimization of Prehospital Triage of Patients with Suspected Ischemic Stroke: Results of a Mathematical Model

This repository extracts the tractograpic feature, other first-order features and the state-of-the-art feature from the stroke lesion. A random forest regressor is used with one type of feature to predict the modified Rankin Scale of stroke patients.

中文按笔划排序的Python 模块(发布于PyPI)

dataset for hershey single stroke characters for machine learning applications in SVG

National Institute of Health stroke scale (NIHSS) information extraction from MIMIC-III discharge summary

中文排序：按拼音/笔顺快速排序简体中文词组（百万数量级，可含中英/多音字）。如果对您有所帮助，欢迎点个star鼓励一下。

EyeTrainer is an application that should help to repair limits of the field of view that are contracted for example as a symptom of a mild stroke.

📄 Official PyTorch implementation regarding the Fourier-based Multimodal RBMs

This is a minimal implementation of Scene text removal via cascaded text stroke detection and erasing. This github repository is for studying on image in-painting for scene text erasing. Thank you :)

Official Repository for Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets. arXiv:2105.06544

KeyStroke is a joke program that makes you have a text stroke every x key strokes. It spams your keyboard to emulate having a stroke. It also blocks keyloggers as a bonus.

Cервис для врачей по определению типа инсульта и постановки тактики лечения на основе анализа КТ снимков головного мозга и анамнеза пациента

Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.

ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

This repository contains the code to reproduce the experiments of "Identification of Patients with Recent Cerebrovascular Symptoms by Combined Clinical and Carotid Plaque’s Calcium Imaging Data Using Interpretable Machine Learning", currently under review at JACC: Cardiovascular Imaging.

[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"

Classical Machine Learning web application | cerebral stroke prediction

Code for Neurocritical Care 2022 paper: "Classification of Level of Consciousness in a Neurological ICU Using Physiological Data"

Functional connectivity and brain network analysis for motor imagery data in stroke patients

MM-StrokeNet method for segmenting sub-acute and chronic stroke lesions.