Susann Beier

Senior Lecturer

University of New South Wales

Australia

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About

Susann Beier is a Senior Lecturer at the University of New South Wales, Australia. Her research focuses on coronary artery disease, including anatomy, haemodynamics, and the implications of sex-specific variances in vascular health. She has contributed to recent articles exploring advancements in medical imaging, immersive technology in cardiology, and the development of large-scale datasets for computer vision applications.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (17)

Shuhua Peng

UNSW

AUSTRALIA

Susann Beier

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Articles (16)

Reliability of characterising coronary artery flow with the flow-split outflow strategy: Comparison against the multiscale approach

Assessing left main bifurcation anatomy and haemodynamics as a potential surrogate for disease risk in suspected coronary artery disease without stenosis.

Sex-Specific Variances in Anatomy and Blood Flow of the Left Main Coronary Bifurcation: Implications for Coronary Artery Disease Risk

A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery

Applications and advances of immersive technology in cardiology

&lt;i&gt;MedShapeNet&lt;/i&gt; - a large-scale dataset of 3D medical shapes for computer vision.

A new understanding of coronary curvature and haemodynamic impact on the course of plaque onset and progression.

Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation

The road to the ideal stent: A review of stent design optimisation methods, findings, and opportunities

Annotated computed tomography coronary angiogram images and associated data of normal and diseased arteries

Accuracy of vascular tortuosity measures using computational modelling.

Secondary flow in bifurcations – Important effects of curvature, bifurcation angle and stents

3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging Developments

A multi-objective optimization of stent geometries

Topological Optimization of Auxetic Coronary Stents Considering Hemodynamics

Design of Self-Expanding Auxetic Stents Using Topology Optimization.

Collaborators (17)

Shuhua Peng

Gian Marco Melito

Darson Li

Neil Bressloff

Thanh Nho Do

Roy Eagleson

Hamed Keramati

Michael Stevens

Claudia Krebs

Imran Razzak

Hamza MEKHZOUM

Patrick Langenhuizen

Martin Urschler

Stefan Cornelissen

Socrates Dokos

Dewei Chu

Terry Brown

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<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.