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PUBLICATION

At AIMed, we strive to publish top-tier content in clinical and engineering journals, along with leading conferences in medical vision and medical image analysis. Our goal is to advance technology and medicine by disseminating cutting-edge research and fostering robust discussions across dynamic fields. We aim to connect with a global community to drive innovation and improve healthcare and engineering outcomes.

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Date

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2023

A Practical Hybrid System for Accurate Scoliosis Analysis

BME

Nan Meng*, Moxin Zhao*, Jason PY Cheung, Socrates Dokos, Teng Zhang

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2023

LRT: an efficient low-light restoration transformer for dark light field images

BME

Shansi Zhang; Nan Meng; Edmund Y. Lam*

https://doi.org/10.1109/TIP.2023.3297412

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2023

3D FE analysis for buckling behavior of longitudinal reinforcement embedded in LRS FRP-confined concrete under axial compression

BME

Yu-Lei Bai, Hong-Long Yang, Mohsen Mohammadi*, Jian-Guo Dai

https://doi.org/10.1016/j.compstruct.2023.116857

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2023

Unsupervised learning-based pipeline for fully automated quantitative analysis of lumbar MRI with preliminary validation

Clinical

Zhang Teng, Kuang Xihe, Ke WC, Yang C*, Cheung JPY*

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2023

Trabecular Bone Restoration for Clinical CT Images by Learning-Based Method

Clinical

Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Teng Zhang

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AIMED

We dedicate ourselves to non-invasive and intelligent solutions for spine care with advanced equipment and deep learning techniques. We are open and welcoming partners, researchers, engineers, etc worldwide.

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Post Address

Level 5, Professorial Block, Queen Mary Hospital, Pok Fu Lam, Hong Kong SAR, China

Call Number

+852 3917 6987
+852 6067 1846

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