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mri data  (Kaggle Inc)

 
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    Structured Review

    Kaggle Inc mri data
    Mri Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/data+mri/pmc13243433-130-2-6
    Average 86 stars, based on 1 article reviews
    mri data - by Bioz Stars, 2026-09
    86/100 stars

    Images

    Related Articles

    Magnetic Resonance Imaging:

    Article Title: BrainView: A cloud-based deep learning system for brain image segmentation, tumor detection and visualization
    Article Snippet: We introduced a DL-based model designed to classify BTs using MRI image data sourced from Kaggle [ ]. .. For segmentation, we utilized another dataset also collected from Kaggle [ ], consisting of MRI data along with segmentation masks. ..

    Article Title: Predicting Alzheimer’s Disease with Deep Learning Techniques
    Article Snippet: .. MRI data from Kaggle reveals a significant class imbalance, thereby emphasizing the need for a good classification model. ..

    Article Title: AN AI-based hybrid model for early Alzheimer’s detection using MRI images
    Article Snippet: AD [1, 2] is a neurodegenerative disorder that progressively worsens patient cognition and memory.. The prevalence of Alzheimer’s disease is high, accounting for 60–80% of all dementia cases.. The illness was initially diagnosed in 1906, and it is named for the German doctor who made the discovery, Alois Alzheimer.

    Article Title: Development of Computer Aided Monitoring System for Alzheimers Disease based on MRI Images
    Article Snippet: .. The MRI data utilized in this study were sourced from a dataset available on Kaggle.com, comprising approximately 4000 MRI images categorized into four types: non-demented, mild dementia, moderate dementia, and severe dementia. ..

    Article Title: Healthcare Diseases Classification Based on Machine Leaning Algorithms: A Review
    Article Snippet: .. They obtained a batch of MRI data from the Kaggle source, which was used to train the LSTM. ..

    Article Title: BrainView: A Cloud-based Deep Learning System for Brain Image Segmentation, Tumor Detection and Visualization.
    Article Snippet: We introduced a DL-based model designed to classify BTs using MRI image data sourced from Kaggle [36]. .. For segmentation, we utilized another dataset also collected from Kaggle [37], consisting of MRI data along with segmentation masks. ..

    Labeling:

    Article Title: AN AI-based hybrid model for early Alzheimer’s detection using MRI images
    Article Snippet: AD [1, 2] is a neurodegenerative disorder that progressively worsens patient cognition and memory.. The prevalence of Alzheimer’s disease is high, accounting for 60–80% of all dementia cases.. The illness was initially diagnosed in 1906, and it is named for the German doctor who made the discovery, Alois Alzheimer.

    Extraction:

    Article Title: AN AI-based hybrid model for early Alzheimer’s detection using MRI images
    Article Snippet: AD [1, 2] is a neurodegenerative disorder that progressively worsens patient cognition and memory.. The prevalence of Alzheimer’s disease is high, accounting for 60–80% of all dementia cases.. The illness was initially diagnosed in 1906, and it is named for the German doctor who made the discovery, Alois Alzheimer.

    Chick Chorioallantoic Membrane Assay:

    Article Title: Development of Computer Aided Monitoring System for Alzheimers Disease based on MRI Images
    Article Snippet: .. Leveraging cutting-edge image processing and analysis techniques on a treasure trove of MRI data sourced from Kaggle.com, CAM doesn't just see images—it deciphers them, unlocking invaluable insights hidden within. ..



    Similar Products

    mri data  (Oxford Instruments)
    99
    Oxford Instruments mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Mri Data, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/Imaris/bio_rxiv__64898__2026__04__13__718243-167-8-11
    Average 99 stars, based on 1 article reviews
    mri data - by Bioz Stars, 2026-09
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    mri data  (Kaggle Inc)
    86
    Kaggle Inc mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Mri Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/data+mri/pmc13243433-130-2-6
    Average 86 stars, based on 1 article reviews
    mri data - by Bioz Stars, 2026-09
    86/100 stars
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    mri data  (Siemens Healthineers)
    86
    Siemens Healthineers mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Mri Data, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/fit+prisma+siemens/pm41876628-69-1-12
    Average 86 stars, based on 1 article reviews
    mri data - by Bioz Stars, 2026-09
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    mri ms data  (Kaggle Inc)
    86
    Kaggle Inc mri ms data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Mri Ms Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/data+mri/pm42120474-417-1-11
    Average 86 stars, based on 1 article reviews
    mri ms data - by Bioz Stars, 2026-09
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    date pooled longitudinal mri data  (Biogen Inc)
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    Biogen Inc date pooled longitudinal mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Date Pooled Longitudinal Mri Data, supplied by Biogen Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/data+date+longitudinal+mri+pooled/pm41935914-138-5-20
    Average 86 stars, based on 1 article reviews
    date pooled longitudinal mri data - by Bioz Stars, 2026-09
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    mri data  (Philips Healthcare)
    86
    Philips Healthcare mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Mri Data, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/mri+scanner+t/pm41933844-66-1-7
    Average 86 stars, based on 1 article reviews
    mri data - by Bioz Stars, 2026-09
    86/100 stars
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    structural mri data  (Siemens Healthineers)
    86
    Siemens Healthineers structural mri data
    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
    Structural Mri Data, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/brain+mri/bio_rxiv__64898__2026__03__02__708926-129-0-12
    Average 86 stars, based on 1 article reviews
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    86/100 stars
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    heart cartesian 4d flow mri data  (Philips Healthcare)
    86
    Philips Healthcare heart cartesian 4d flow mri data
    Examples of <t>4D</t> Flow <t>MRI</t> reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.
    Heart Cartesian 4d Flow Mri Data, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mri+data/achieva+mr+philips+scanner+t/pmc13156433-43-1-19
    Average 86 stars, based on 1 article reviews
    heart cartesian 4d flow mri data - by Bioz Stars, 2026-09
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    Image Search Results


    Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on MRI data. Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.

    Journal: bioRxiv

    Article Title: Topological defects and coherent myocardial chirality shape torsional heart contraction

    doi: 10.64898/2026.04.13.718243

    Figure Lengend Snippet: Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on MRI data. Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.

    Article Snippet: Cardiac geometry was extracted from microscopy images or MRI data using Imaris software (Bitplane, version 10.0.0) to isolate the shape of the myocardium.

    Techniques: Derivative Assay, Diffusion-based Assay, Imaging

    Examples of 4D Flow MRI reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.

    Journal: Magnetic Resonance in Medicine

    Article Title: FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites

    doi: 10.1002/mrm.70317

    Figure Lengend Snippet: Examples of 4D Flow MRI reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.

    Article Snippet: Fully‐sampled whole‐heart cartesian 4D flow MRI data were acquired at our institution (referred to as Site A) using a Philips 1.5 T Achieva scanner (Philips Healthcare, Best, The Netherlands) with software version 5.7.1, in 16 healthy volunteers during free breathing.

    Techniques: