Zhibin Liao
Adelaide, SA, Australia
Last Updated: 09/26/2026
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Found 23 publications
Silicate Biomaterials Modulate Heart-Bone Paracrine Interactions for Tissue Repair.
Journal: Acta biomaterialia
Published: April 09, 2026
Development of Convolutional Neural Networks for Classification and Characterisation of Proximal Humerus Fractures on Computed Tomography.
Journal: Journal of shoulder and elbow surgery
Published: January 20, 2026
Development of convolutional neural networks for classification and characterization of proximal humerus fractures on computed tomography.
Journal: Journal of shoulder and elbow surgery
Published: January 20, 2026
Bioactive Magnesium Silicate Activating Myocardial Energy Metabolism For Infarcted Myocardium Repair.
Journal: Exploration (Beijing, China)
Published: July 19, 2025
Silicate biomaterials-based multicellular scaffolds with specific cellular spatial distribution for infarcted myocardium repair.
Journal: Bioactive materials
Published: May 26, 2025
Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs.
Journal: European journal of trauma and emergency surgery : official publication of the European Trauma Society
Published: April 25, 2025
Detection, classification, and characterization of proximal humerus fractures on plain radiographs.
Journal: The bone & joint journal
Published: October 31, 2024
An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.
Journal: European journal of trauma and emergency surgery : official publication of the European Trauma Society
Published: June 19, 2024
Prognostic Implications of Machine Learning Algorithm-Supported Diagnostic Classification of Myocardial Injury Using the Fourth Universal Definition of Myocardial Infarction.
Journal: Heart, lung & circulation
Published: December 12, 2023
Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome.
Journal: JACC. Advances
Published: September 05, 2023
Machine learning derived echocardiographic image quality in patients with left ventricular systolic dysfunction: insights on the echo views of greatest image quality.
Journal: The international journal of cardiovascular imaging
Published: October 06, 2022
Last Updated: 09/26/2026