A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification | Paper Citation Record

Observation 0c3733a6-9f54-4f99-8bc1-06311cf6b699 · outbound

This paper cites A novel curvature-based algorithm for automatic grading of retinal blood vessel tortuosity,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A novel curvature-based algorithm for automatic grading of retinal blood vessel tortuosity,

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This paper cites Explainability for artificial intelligence in healthcare: a multi- disciplinary perspective,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Explainability for artificial intelligence in healthcare: a multi- disciplinary perspective,

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This paper cites Geometric properties estima- tion from discrete curves using discrete derivatives,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Geometric properties estima- tion from discrete curves using discrete derivatives,

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This paper cites Geometric properties esti- mation from line point clouds using gaussian-weighted discrete derivatives,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Geometric properties esti- mation from line point clouds using gaussian-weighted discrete derivatives,

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This paper cites An image- based modeling framework for patient-specific computational hemodynamics,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification An image- based modeling framework for patient-specific computational hemodynamics,

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This paper cites Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,

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Observation f001eb81-ec4d-4f1d-9e2f-02e17968dd42 · outbound

This paper cites Morphometry of the entire internal carotid artery on ct angiography,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Morphometry of the entire internal carotid artery on ct angiography,

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This paper cites Parameter free torsion estimation of curves in 3d images,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Parameter free torsion estimation of curves in 3d images,

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This paper cites Auto- mated landmarking and geometric characterization of the carotid siphon,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Auto- mated landmarking and geometric characterization of the carotid siphon,

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Observation a3db95ca-611b-4e6f-815d-14d215012c4a · outbound

This paper cites Segments of the internal carotid artery: a new classification,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Segments of the internal carotid artery: a new classification,

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This paper cites Random forests,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Random forests,

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This paper cites Improving blood vessel tortuosity measurements via highly sampled numerical integration of the frenet-serret equations,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Improving blood vessel tortuosity measurements via highly sampled numerical integration of the frenet-serret equations,

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This paper cites Measuring tortuosity of the intracerebral vasculature from mra images,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Measuring tortuosity of the intracerebral vasculature from mra images,

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This paper cites Explainable medical imaging AI needs human-centered design: Guidelines and evidence from a systematic review,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Explainable medical imaging AI needs human-centered design: Guidelines and evidence from a systematic review,

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Observation 1a2d1b9f-930a-49e2-9511-612b0abe659b · outbound

This paper cites Estimating curvature and torsion of 3d curves from digital images,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Estimating curvature and torsion of 3d curves from digital images,

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This paper cites TRIPOD+AI statement: Updated guidance for reporting clinical prediction models that use regression or machine learning methods,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification TRIPOD+AI statement: Updated guidance for reporting clinical prediction models that use regression or machine learning methods,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Random forest versus logistic regression: a large-scale benchmark experiment,

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This paper cites an unresolved cited work.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Unresolved cited work

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Observation 731545f0-9fda-405c-b6ae-ff3bfc3a3761 · outbound

This paper cites Modeling and hexahedral meshing of cerebral arterial networks from centerlines,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Modeling and hexahedral meshing of cerebral arterial networks from centerlines,

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Observation 1f21fcf0-9bce-49a5-bc6e-4491a281017f · outbound

This paper cites Multiscale vessel enhancement filtering,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Multiscale vessel enhancement filtering,

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Observation 28753558-65cb-47e3-b43e-c176d9c60f9c · outbound

This paper cites The false hope of current approaches to explainable artificial intelligence in health care,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification The false hope of current approaches to explainable artificial intelligence in health care,

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Observation b2d1efc3-fc74-4922-b589-5fdea20e3465 · outbound

This paper cites Endovascu- lar thrombectomy after large-vessel ischaemic stroke: a meta- analysis,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Endovascu- lar thrombectomy after large-vessel ischaemic stroke: a meta- analysis,

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This paper cites A novel method for the automatic grading of retinal vessel tortuosity,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A novel method for the automatic grading of retinal vessel tortuosity,

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This paper cites Learning from class-imbalanced data: Review of meth- ods and applications,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Learning from class-imbalanced data: Review of meth- ods and applications,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Robust measures of three- dimensional vascular tortuosity,

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Observation 864e8ecf-b1f2-41dc-97ed-5361c20b96ef · outbound

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Accuracy of vascular tortuosity measures using computational modelling,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification In- ternal carotid artery tortuosity: impact on mechanical thrombec- tomy,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in health- care,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A review of 3d vessel lumen segmentation techniques: Models, features and extraction schemes,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Feature selection: A data perspective,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Tortuosity and other vessel attributes for arterioles and venules of the human cerebral cortex,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Estimation of torsion,

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Observation e9772986-1ae4-42c2-91e2-32da6cf98130 · outbound

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification In vitro analysis of the efficacy of endovascular thrombectomy techniques according to the vascular tortuosity using 3d printed models,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Blood flow in the tortuous internal carotid artery,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A framework for geometric analysis of vascular structures: Application to cerebral aneurysms,

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This paper cites Explicit solutions of the three-dimensional inverse prob- lem of dynamics, using the frenet reference frame,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Explicit solutions of the three-dimensional inverse prob- lem of dynamics, using the frenet reference frame,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Common pitfalls and recommendations for using machine learning to detect and prog- nosticate for COVID-19 using chest radiographs and CT scans,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Correlation coefficients: appropriate use and interpretation,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A mathematical theory of communication,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A systematic analysis of perfor- mance measures for classification tasks,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification The need to report effect size estimates revisited. an overview of some recommended measures of effect size,

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Observation 64ef012e-06f5-4d13-a117-33e96e51075f · outbound

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification What clinicians want: contextualizing explainable machine learning for clinical end use,

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A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Machine learning algorithm validation with a limited sample size,

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This paper cites Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI,

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This paper cites A review of feature selection methods based on mutual information,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification A review of feature selection methods based on mutual information,

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This paper cites Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features,

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Observation 895b3482-b529-4f17-a143-58f137b204c3 · outbound

This paper cites Tortuosity, coiling, and kinking of the internal carotid artery,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Tortuosity, coiling, and kinking of the internal carotid artery,

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This paper cites Anatomy of the intracranial arteries: the internal carotid artery,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Anatomy of the intracranial arteries: the internal carotid artery,

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This paper cites Application of 3d curvature and torsion in evaluating aortic tortuosity,.

A Hybrid Framework for Blood Vessel Morphology Classification: Discrete Geometry-based Tortuosity Feature Measurement, Information Gain-based Feature Selection, and Random Forest Classification Application of 3d curvature and torsion in evaluating aortic tortuosity,

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