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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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2020

Accurate body appearance detections and 'non-radiation' X-ray synthesis using artificial intelligence and depth-sensing technologies

BME

Zhang T, Wong K, Li S, Li GY, Huang SY, Sung TW, Diwan AD, Cheung, JPY

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2020

Systematic Investigation of Metallosis Associated with Magnetically Controlled Growing Rod Implantation for Early-Onset Scoliosis: Investigating Metallosis in Magnetically Controlled Growing Rod Surgery

BME

Teng Zhang, K. Y. Sze, Z. W. Peng, Kenneth M. C. Cheung, Y. F. Lui, Y. W. Wong, Kenny Y. H. Kwan, Jason P. Y. Cheung*

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2020

Failure Mechanisms of Pedicle Screws and Cortical Screws Fixation under Large Displacement: A Biomechanical and Microstructural Study Based on a Clinical Case Scenario

BME

Teng Zhang*, Xiaodan Ren, Xiaoren Feng, Ashish Diwan, Keith Dip Kei Luk, William Weijia Lu, Tak-Man Wong, Chentian Li, Jason Pui Yin Cheung*

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2020

LightGAN: A Deep Generative Model for Light Field Reconstruction

BME

Nan Meng; Zhou Ge; Tianjiao Zeng; Edmund Y. Lam

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2019

Stiffness-Based Design-Oriented Compressive Stress-Strain Model for Large-Rupture-Strain (LRS) FRP-Confined Concrete

BME

Bai, Yu-Lei, Jian-Guo Dai*, Mohsen Mohammadi, Guan Lin, and Shi-Jie Mei

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

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+852 3917 6987
+852 6067 1846

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