Conferences & Presentations
Oral Presentations
Imaging Utilization, Socioeconomic Factors, and CT versus MRI Measurement Agreement in Thoracic Aortic Surveillance
Sun, E., Johnson, E.M.I., Markl, M., Allen, B.D., International Society for Magnetic Resonance in Medicine Annual Meeting 2026, Cape Town, South Africa, 2026
This study illustrates socioeconomic and clinical factors influencing CT and MRI use for aortic surveillance and demonstrates comparable growth-rate measurements across modalities, supporting interchangeable follow-up strategies and motivating broader MRI accessibility to promote equitable, radiation-free imaging.
Impact of Clinical Outcomes and Socioeconomic Status on CT versus MR Utilization in Thoracic Aortic Surveillance Imaging
Sun, E., Johnson, E.M.I., Markl, M., Allen, B.D., Society for Cardiovascular Magnetic Resonance Annual Scientific Session, Rio de Janeiro, Brazil, 2026
Analysis of 73k+ thoracic aortic CT/MR scans to study modality trends across age, outcomes, and socioeconomic status. Applied statistical methods including logistic regression for multivariable adjustment.
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Fully Automated AI-Driven Quantification of Thoracic Aorta Dimensions From Contrast-Enhanced MRA
Apostolidis, C., Johnson, E.M.I., Berhane, H., Dushfunian, D., Sun, E., Cohn, S., Pfister, C., Allen, B.D., Katsaggelos, A., Markl, M., Society for Cardiovascular Magnetic Resonance Annual Scientific Session, Rio de Janeiro, Brazil, 2026
Development of fully automated AI-driven quantification methods for thoracic aorta dimensions from contrast-enhanced MRA imaging.
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Deep Learning-based Thoracic Aorta Segmentation on Cross-institutional Computed Tomography Angiography Images
Dong, W., Johnson, EM., Dehadrai, A., Sun, E., Allen, B.D., Sieren, M., Frydrychowicz, A., Markl, M., North American Society for Cardiovascular Imaging Annual Meeting, Minneapolis, MN, 2025
Cross-institutional, two-stage deep-learning workflow for thoracic aorta segmentation in computed tomography angiography scans with automated preprocessing pipeline.
Positioning Error Correction through Image-Based Internal Reference in Conformal Optical Coherent Tomography
Zhang, H.F., Sun, E., Fang, R., Kim, D., Zhang, P., Association for Research in Vision and Ophthalmology Annual Meeting, Seattle, WA, 2024
Advanced diagnostic imaging for glaucoma through robotic system development for anterior segment optical coherence tomography with positioning error correction.
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Imaging the conventional outflow pathway with robotic visible-light optical coherence tomography
Fang, R., Zhang, P., Zhang, T., Kim, D., Sun, E., Huang, A., Sun, C., Zhang, H., Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII (SPIE), San Francisco, CA, 2024
Robotic visible-light optical coherence tomography for imaging the conventional outflow pathway in glaucoma research.
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Montaging multiple optical coherence tomography volumes
Sun, E., Fang, R., Zhang, H.F., Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII (SPIE), San Francisco, CA, 2024
Montaging techniques for multiple optical coherence tomography volumes in robotic imaging systems.
View Abstract →Poster Presentations
Socioeconomic Disparities And Measurement Agreement Between CT And MRI In Thoracic Aortic Surveillance Imaging
Sun, E., Johnson, E.M.I., Markl, M., Allen, B.D., Society for Cardiovascular Computed Tomography Annual Scientific Session, San Diego, CA, 2026
Higher income, younger age, and race were associated with greater MRI use for aortic surveillance, revealing disparities in imaging access. CT and MRI showed minimal differences in aortic growth measurements, supporting interchangeable use.
Fully Automated Multisite Deep Learning CTA Segmentation and Diameter Quantification
Dong, W., Apostolidis, C., Johnson, E.M.I., Dehadrai, A., Sun, E., Allen, B.D., Sieren, M., Frydrychowicz, A., Cohn, S., Oten S., Markl, M., Society for Cardiovascular Computed Tomography Annual Scientific Session, San Diego, CA, 2026
This study developed a multisite deep learning pipeline to automate 3D aortic segmentation and diameter measurement from CTA, addressing limitations of manual, variable assessments. The method achieved high segmentation accuracy (Dice up to ~1.00) and moderate agreement with expert measurements (bias ~±3 mm), supporting feasibility for automated aortic evaluation.
Montaging Multiple Imaging Volumes for Robotically Controlled Freeform Optical Coherence Tomography
Sun, E., Fang, R., Zhang, H.F., Junior Science and Humanities Symposium, Chicago, IL, 2024
Feature-based MATLAB montaging algorithm addressing robotic positioning inaccuracies for precise alignment of multiple OCT scans in glaucoma imaging.
Montaging multiple optical coherence tomography volumes
Sun, E., Fang, R., Zhang, H.F., Biomedical Engineering Society Annual Meeting, Seattle, WA, 2023
Poster presentation on montaging techniques for multiple optical coherence tomography volumes in robotic imaging systems.