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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

Contour-Aware 3D Medical Image Registration

BME

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

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2022

Expanding the mutation and phenotype spectrum of MYH3-associated skeletal disorders

BME

Sen Zhao, Yuanqiang Zhang, Sigrun Hallgrimsdottir, Yuzhi Zuo, Xiaoxin Li, Dominyka Batkovskyte, Sen Liu, Hillevi Lindel�f, Shengru Wang, Anna Hammarsj�, Yang Yang, Yongyu Ye, Lianlei Wang, Zihui Yan, Jiachen Lin, Chenxi Yu, Zefu Chen, Yuchen Niu, Huizi Wang, Zhi Zhao, Pengfei Liu, Guixing Qiu, Jennifer E Posey, Zhihong Wu, James R Lupski, Ieva Micule, Britt-Marie Anderlid, Ulrika Voss, Dennis Sulander, Ekaterina Kuchinskaya, Ann Nordgren, Ola Nilsson, Terry Jianguo Zhang, Giedre Grigelioniene, Nan Wu*

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2022

A clinical classification for radiation-less monitoring of scoliosis based on deep learning of back photographs

BME

Teng Zhang*, Chuang Zhu, Yongkang Zhao, Moxin Zhao, Zhihao Wang, Ruoning Song, Nan Meng, Alisha Sial, Ashish Diwan, Jun Liu, Jason Pui Yin Cheung

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2021

Fully automated lumbar disc degeneration diagnosis for multiple pathologies based on the deep learning method

Clinical

Jason Pui Yin Cheung, Xihe Kuang, Marcus Kin Long Lai, Teng Zhang

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2021

Benchmarking network-based gene prioritization methods for cerebral small vessel disease

BME

Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmae, Honghan Wu*

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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

Call Number

+852 3917 6987
+852 6067 1846

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