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Efficient Node Localization on Sensor Internet of Things Networks Using Deep Learning and Virtual Node Simulation

Electronics (Basel), 2024-04, Vol.13 (8), p.1542

2024

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On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking

European radiology experimental, 2021-01, Vol.5 (1), p.4-4, Article 4

2021

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BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease

Frontiers in artificial intelligence, 2020-09, Vol.3, p.552258-552258

2020

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Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy

Frontiers in neurology, 2023-09, Vol.14, p.1230402-1230402

2023

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A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease

Biomedical engineering online, 2021-05, Vol.20 (1), p.44-44, Article 44

2021

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A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Frontiers in neuroscience, 2019-02, Vol.13, p.97-97

2019

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Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

Frontiers in neurology, 2022-10, Vol.13, p.1000914-1000914

2022

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Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization

Geosciences (Basel), 2021-02, Vol.11 (2), p.99

2021

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A five-year milestone: reflections on advances and limitations in GeoAI research

Annals of GIS, 2024-01, Vol.30 (1), p.1-14

2024

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Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework

Tectonophysics, 2017-08, Vol.712-713, p.101-124

2017

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Environmental and demographic factors affecting childhood academic performance in Los Angeles County: A generalized linear elastic net regression model

Remote sensing applications, 2023-04, Vol.30, p.100942, Article 100942

2023

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An evaluation of performance measures for arterial brain vessel segmentation

BMC medical imaging, 2021-07, Vol.21 (1), p.113-113, Article 113

2021

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COVID-19−Associated Encephalitis Mimicking Glial Tumor

World neurosurgery, 2020-08, Vol.140, p.46-48

2020

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Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking

European radiology experimental, 2022-10, Vol.6 (1), p.56-56, Article 56

2022

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arcgisbinding: An R package for integrating R and ArcGIS

Environmental modelling & software : with environment data news, 2024-01, Vol.172, p.105904, Article 105904

2024

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A quantitative comparison of regionalization methods

International journal of geographical information science : IJGIS, 2021-11, Vol.35 (11), p.2287-2315

2021

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Probabilistic Regionalization via Evidence Accumulation with Random Spanning Trees as Weak Spatial Representations

Geographical analysis, 2024-04, Vol.56 (2), p.328-357

2024

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Multiple Large-Size Cystic Cerebral Cavernomas

World neurosurgery, 2020-07, Vol.139, p.410-414

2020

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Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling

Computational geosciences, 2013-04, Vol.17 (2), p.417-429

2013

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Conservation planning implications of modeling seagrass habitats with sparse absence data: a balanced random forest approach

Journal of coastal conservation, 2022-06, Vol.26 (3), Article 22

2022

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Correction to: Conservation planning implications of modeling seagrass habitats with sparse absence data: a balanced random forest approach

Journal of coastal conservation, 2022-08, Vol.26 (4), Article 27

2022

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Multiple large-size cystic cerebral cavernomas: a case report

World neurosurgery, 2020-05

2020

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A Bayesian Framework for Quantifying Fault Network Uncertainty Using a Marked Point Process Model

Aydin, Orhun

2017

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ProQuest

Management and Analysis of Maritime Geospatial Data During COVID-19: Case Studies, Opportunities and Challenges

COVID-19 Pandemic, Geospatial Information, and Community Resilience, 2021, Vol.1, p.123-136

1, 2021

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COVID-19-Associated Encephalitis Mimicking Glial Tumor

World neurosurgery, 2020, Vol.140, p.46-48

2020

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Efficient Node Localization on Sensor Internet of Things Networks Using Deep Learning and Virtual Node Simulation

On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease

Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy

A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization

A five-year milestone: reflections on advances and limitations in GeoAI research

Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework

Environmental and demographic factors affecting childhood academic performance in Los Angeles County: A generalized linear elastic net regression model

An evaluation of performance measures for arterial brain vessel segmentation

COVID-19−Associated Encephalitis Mimicking Glial Tumor

Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking

arcgisbinding: An R package for integrating R and ArcGIS

A quantitative comparison of regionalization methods

Probabilistic Regionalization via Evidence Accumulation with Random Spanning Trees as Weak Spatial Representations

Multiple Large-Size Cystic Cerebral Cavernomas

Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling

Conservation planning implications of modeling seagrass habitats with sparse absence data: a balanced random forest approach

Correction to: Conservation planning implications of modeling seagrass habitats with sparse absence data: a balanced random forest approach

Multiple large-size cystic cerebral cavernomas: a case report

A Bayesian Framework for Quantifying Fault Network Uncertainty Using a Marked Point Process Model

Management and Analysis of Maritime Geospatial Data During COVID-19: Case Studies, Opportunities and Challenges

COVID-19-Associated Encephalitis Mimicking Glial Tumor

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