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   Articles with "mri segmentation" as a keyword



Editorial for “Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning”

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recommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.28329

Abstract: T his study 1 applied nnU-Net, developed by Isensee et al, 2 to as many as 659 meningioma patient images in total after contrast enhancement for automatic segmentation. Both training and validation data images were… read more here.

Keywords: editorial fully; fully automated; segmentation volumetric; automated mri ... See more keywords

Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.03.049

Abstract: Abstract As manual delineation of lesions in medical image is a very tedious and time consuming process, accurate and automatic segmentation of medical images can assist diagnosis and treatment. In this study, we propose a… read more here.

Keywords: efficient multi; mri segmentation; kernel dcnn; segmentation ... See more keywords

A squeeze U-SegNet architecture based on residual convolution for brain MRI segmentation

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3175188

Abstract: This paper proposes an improved brain magnetic resonance imaging (MRI) segmentation model by integrating U-SegNet with fire modules and residual convolutions to segment brain tissues in MRI. In the proposed encoder-decoder method, the residual connections… read more here.

Keywords: brain mri; brain; segmentation; architecture ... See more keywords

Visualizing UNet Decisions: An Explainable AI Perspective for Brain MRI Segmentation

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3592239

Abstract: In recent years, medical image analysis, particularly neuroimaging, has experienced remarkable advancements, with Magnetic Resonance Imaging (MRI) greatly helping in diagnosing complex neurological disorders, including brain tumors. However, accurately segmenting brain tumors from MRI scans… read more here.

Keywords: brain mri; mri segmentation; brain; segmentation ... See more keywords

TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation

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recommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3225475

Abstract: Accurate neonatal brain MRI segmentation is valuable for investigating brain growth patterns and tracking the progression of neurodevelopmental disorders. However, it is a challenging task to use intensity-based methods to segment neonatal brain structures because… read more here.

Keywords: brain mri; brain; neonatal brain; mri segmentation ... See more keywords

White Matter Hyperintensities and Poststroke Apathy: A Fully Automated MRI Segmentation Study.

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recommendations! Published in 2022 at "Cerebrovascular diseases"

DOI: 10.1159/000526939

Abstract: INTRODUCTION Poststroke apathy (PSA) is a common neuropsychiatric disorder that may affect up to 30% of stroke patients. Despite the difficulties of investigating this condition (overlapping with depression, heterogeneity of diagnostic criteria, a small number… read more here.

Keywords: matter; poststroke apathy; white matter; mri segmentation ... See more keywords

Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes

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recommendations! Published in 2025 at "Bioengineering"

DOI: 10.3390/bioengineering12080872

Abstract: Deep learning has shown remarkable success in medical image analysis over the last decade; however, many contributions focused on supervised methods which learn exclusively from labeled training samples. Acquiring expert-level annotations in large quantities is… read more here.

Keywords: mri segmentation; segmentation; cardiac mri; cascaded self ... See more keywords

Ultra-High Resolution 9.4T Brain MRI Segmentation via a Newly Engineered Multi-Scale Residual Nested U-Net with Gated Attention

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recommendations! Published in 2025 at "Bioengineering"

DOI: 10.3390/bioengineering12101014

Abstract: A 9.4T brain MRI is the highest resolution MRI scanner in the public market. It offers submillimeter brain imaging with exceptional anatomical detail, making it one of the most powerful tools for detecting subtle structural… read more here.

Keywords: brain mri; mri segmentation; brain; segmentation ... See more keywords

Radiologist-Validated Automatic Lumbar T1-Weighted Spinal MRI Segmentation Tool via an Attention U-Net Algorithm

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recommendations! Published in 2025 at "Diagnostics"

DOI: 10.3390/diagnostics15233046

Abstract: Background/Objectives: Spinal MRI segmentation has become increasingly important with the prevalence of disc herniation and vertebral injuries. Artificial intelligence can help orthopedic surgeons and radiologists automate the process of segmentation. Currently, there are few tools… read more here.

Keywords: segmentation; mri segmentation; spinal mri; attention net ... See more keywords

nn-TransUNet: An Automatic Deep Learning Pipeline for Heart MRI Segmentation

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recommendations! Published in 2022 at "Life"

DOI: 10.3390/life12101570

Abstract: Cardiovascular disease (CVD) is a disease with high mortality in modern times. The segmentation task for MRI to extract the related organs for CVD is essential for diagnosis. Currently, a large number of deep learning… read more here.

Keywords: segmentation; deep learning; mri segmentation; transunet ... See more keywords