Stephen Aylward

Adjunct Professor

University of North Carolina at Chapel Hill

United States

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Stephen Aylward is an Adjunct Professor at The University of North Carolina at Chapel Hill. His research encompasses optimal transport features for morphometric population analysis, the application of artificial intelligence in the detection of pneumothorax via ultrasound, and advanced imaging techniques, including cinematic volume rendering of medical images. His recent work also focuses on automated segmentation in medical imaging, particularly related to COVID-19 and scoliosis.

Articles (7)

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Zachary Baum

University College London

UNITED KINGDOM

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Stephen Aylward

Research Interests

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Articles (7)

Optimal transport features for morphometric population analysis

Detection of pneumothorax on ultrasound using artificial intelligence

A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking

Interactive, in-browser cinematic volume rendering of medical images

Perfusion Imaging: An Advection Diffusion Approach

Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images

Automatic Spine Ultrasound Segmentation for Scoliosis Visualization and Measurement

Collaborators (1)

Zachary Baum

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