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Ischemic Stroke Lesion Segmentation

Papers

Showing 123 of 23 papers

TitleStatusHype
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis0
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke0
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation0
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI0
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationCode0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks0
Automated ischemic stroke lesion segmentation from 3D MRI0
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetCode1
Class Balanced PixelNet for Neurological Image Segmentation0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning0
Predicting Clinical Outcome of Stroke Patients with Tractographic FeatureCode0
Exploiting bilateral symmetry in brain lesion segmentation0
Generative Model-Based Ischemic Stroke Lesion Segmentation0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation0
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher ModelCode0
Boundary loss for highly unbalanced segmentationCode1
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss0
Acute and sub-acute stroke lesion segmentation from multimodal MRICode0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation0
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