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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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2022

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation

BME

Li, Yang, Yue Zhang, Weigang Cui, Baiying Lei, Xihe Kuang, and Teng Zhang

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2022

FE Modeling of Non-Circular LRS FRP-Confined Concrete Columns

BME

Mohammadi, Mohsen, Yu-Lei Bai*, Hong-Long Yang, Guan Lin, Jian-Guo Dai, and Yu-Feng Zhang

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2022

Poor Bone Quality, Multilevel Surgery, and Narrow and Tall Cages Are Associated with Intraoperative Endplate Injuries and Late-onset Cage Subsidence in Lateral Lumbar Interbody Fusion: A Systematic Review

BME

Wu, Hao; Shan, Zhi; Zhao, Fengdong; Cheung, Jason Pui Yin*

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2022

PhenoApt Leverages Clinical Expertise to Prioritize Candidate Genes via Machine Learning

BME

Zefu Chen, Yu Zheng, Yongxin Yang, Yingzhao Huang, Sen Zhao, Hengqiang Zhao, Chenxi Yu, Xiying Dong, Yuanqiang Zhang, Lianlei Wang, Zhengye Zhao, Shengru Wang, Yang Yang, Yue Ming, Jianzhong Su, Guixing Qiu, Zhihong Wu, Terry Jianguo Zhang, and Nan Wu*

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2022

Equipoise for Lateral Access Surgery

BME

Hao Wu, Prudence Wing Hang Cheung, Reuben Chee Cheong Soh, Jacob Yoong Leong Oh, Jason Pui Yin Cheung*

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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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