- 💕 We provide a list of paper and projects in stroke research.
- 🔥 Welcome to share the paper and code through the issues.
Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study Weidao Chen, Jiangfen Wu, et al Insights into Imaging | 2022
Predicting recovery following stroke: Deep learning, multimodal data and feature selection using explainable AI Adam White, Margarita Saranti, et al NeuroImage: Clinical | 2024
Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks Felix Lohrke, Vince Istvan Madai, et al NeuroImage | 2024
Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet Ping Hu, Haizhu Zhou, et al NeuroImage | 2023
CarveMix: A simple data augmentation method for brain lesion segmentation Xinru Zhang, Chenghao Liu, et al NeuroImage | 2023
Multi-grained contrastive representation learning for label-efficient lesion segmentation and onset time classification of acute ischemic stroke Jiarui Sun, Yuhao Liu, et al Medical Image Analysis | 2024
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke Jakob Sommer, Fiona Dierksen, et al Frontiers in Artificial Intelligence | 2024
Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework Cansu Yalcin, Valeriia Abramova, et al Computerized Medical Imaging and Graphics | 2024
The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center John Absher, Sarah Goncher, et al Scientific Data | 2024
Benchmark dataset for clot detection in ischemic stroke vessel-based imaging: CODEC-IV Freda Werdiger, Milanka Visser, et al NeuroImage | 2023
The Aphasia Recovery Cohort, an open-source chronic stroke repository MakaylaGibson, Roger Newman-Norlund, et al Scientific Data | 2024
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke Evamaria. O. Riedel, Ezequiel de la Rosa, et al arxiv | 2024