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Deep learning models for ischemic stroke lesion segmentation in medical images: A survey

Computers in biology and medicine, 2024-06, Vol.175, p.108509, Article 108509

2024

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Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

IEEE transactions on medical imaging, 2018-09, Vol.37 (9), p.2149-2160

2018

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D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation

IEEE/ACM transactions on computational biology and bioinformatics, 2021-05, Vol.18 (3), p.940-950

2021

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Fine-grained brain tissue segmentation for brain modeling of stroke patient

Computers in biology and medicine, 2023-02, Vol.153, p.106472-106472, Article 106472

2023

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Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data

Multimedia tools and applications, 2024-04

2024

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Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN

Sensors (Basel, Switzerland), 2024-05, Vol.24 (11), p.3480

2024

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Online stroke segmentation by quick penalty-based dynamic programming

IET computer vision, 2013-10, Vol.7 (5), p.311-319

2013

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A novel segmentation technique for online handwritten Bangla words

Pattern recognition letters, 2020-11, Vol.139, p.26-33

2020

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CNN and XGBoost for Automatic Segmentation of Stroke Lesions using CT Data

Procedia computer science, 2024, Vol.237, p.72-79

2024

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A few-shot learning-based ischemic stroke segmentation system using weighted MRI fusion

Image and vision computing, 2023-12, Vol.140, p.104865, Article 104865

2023

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Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study

Multimedia tools and applications, 2024-04, Vol.83 (14), p.43539-43575

2024

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Brain segmentation in patients with perinatal arterial ischemic stroke

NeuroImage clinical, 2023-01, Vol.38, p.103381-103381, Article 103381

2023

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SSGAN: generative adversarial networks for the stroke segmentation of calligraphic characters

The Visual computer, 2022-07, Vol.38 (7), p.2581-2590

2022

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Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

Computational statistics & data analysis, 2020-02, Vol.142, p.106816, Article 106816

2020

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The multi-level classification network (MCN) with modified residual U-Net for ischemic stroke lesions segmentation from ATLAS

Computers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106332-106332, Article 106332

2022

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A fully convolutional network (FCN) based automated ischemic stroke segment method using chemical exchange saturation transfer imaging

Medical physics (Lancaster), 2022-03, Vol.49 (3), p.1635-1647

2022

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Localizing Text in Scene Images by Boundary Clustering, Stroke Segmentation, and String Fragment Classification

IEEE transactions on image processing, 2012-09, Vol.21 (9), p.4256-4268

2012

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Brain MRI artefact detection and correction using convolutional neural networks

Computer methods and programs in biomedicine, 2021-02, Vol.199, p.105909-105909, Article 105909

Oksuz, Ilkay

2021

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Machine learning identifies stroke features between species

Theranostics, 2021, Vol.11 (6), p.3017-3034

2021

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Brain stroke lesion segmentation using consistent perception generative adversarial network

Neural computing & applications, 2022-06, Vol.34 (11), p.8657-8669

2022

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Improvements to the TCVD method to segment hand-drawn sketches

Pattern recognition, 2017-03, Vol.63, p.416-426

2017

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Multi-region segmentation by a single level set generalization applied to stroke CT images

Signal, image and video processing, 2021-09, Vol.15 (6), p.1203-1210

2021

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Ischemic stroke lesion segmentation using stacked sparse autoencoder

Computers in biology and medicine, 2018-08, Vol.99, p.38-52

2018

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MDAN: Mirror Difference Aware Network for Brain Stroke Lesion Segmentation

IEEE journal of biomedical and health informatics, 2022-04, Vol.26 (4), p.1628-1639

2022

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Image translation for medical image generation: Ischemic stroke lesion segmentation

Biomedical signal processing and control, 2022-02, Vol.72, p.103283, Article 103283

2022

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Deep learning models for ischemic stroke lesion segmentation in medical images: A survey

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation

Fine-grained brain tissue segmentation for brain modeling of stroke patient

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data

Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN

Online stroke segmentation by quick penalty-based dynamic programming

A novel segmentation technique for online handwritten Bangla words

CNN and XGBoost for Automatic Segmentation of Stroke Lesions using CT Data

A few-shot learning-based ischemic stroke segmentation system using weighted MRI fusion

Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study

Brain segmentation in patients with perinatal arterial ischemic stroke

SSGAN: generative adversarial networks for the stroke segmentation of calligraphic characters

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

The multi-level classification network (MCN) with modified residual U-Net for ischemic stroke lesions segmentation from ATLAS

A fully convolutional network (FCN) based automated ischemic stroke segment method using chemical exchange saturation transfer imaging

Localizing Text in Scene Images by Boundary Clustering, Stroke Segmentation, and String Fragment Classification

Brain MRI artefact detection and correction using convolutional neural networks

Machine learning identifies stroke features between species

Brain stroke lesion segmentation using consistent perception generative adversarial network

Improvements to the TCVD method to segment hand-drawn sketches

Multi-region segmentation by a single level set generalization applied to stroke CT images

Ischemic stroke lesion segmentation using stacked sparse autoencoder

MDAN: Mirror Difference Aware Network for Brain Stroke Lesion Segmentation

Image translation for medical image generation: Ischemic stroke lesion segmentation

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