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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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2024

Extracted Audio-Induced Reward Expectation Information from Local Field Potential in the Medial Prefrontal Cortex

BME

Mingyi Wang, Jieyuan Tan, Yifan Huang, Shenghui Wu, Zhiwei Song, Yiwen Wang

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2024

Gaussian random field-based characterization and reconstruction ofcancellous bone microstructure considering the constraint ofcorrelation structure

BME

Lei He, Moxin Zhao, Jason Pui Yin Cheung, Teng Zhang, Xiaodan Ren

https://doi.org/10.1016/j.jmbbm.2024.106443

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2024

A highly stretchable smart dressing for wound infection monitoring and treatment

BME

Rui Su, Liangliang Wang, Fei Han, Shaoquan Bian, Fengzhen Meng, Weichen Qi, Xinyun Zhai, Hanfei Li, Jun Wu, Xiaohua Pan, Haobo Pan, Peizhi Guo, William W. Lu, Zhiyuan Liu*, Xiaoli Zhao*

https://doi.org/10.1016/j.mtbio.2024.101107

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2024

Prospective Validation of Multimodal Digital Exercise Therapy for Low Back Pain Management

Clinical

Hao Wu, Lijuan Ren, Teng Zhang, Jason Pui Yin Cheung

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2024

Diffusion probabilistic learning with gate-fusion transformer and edge-frequency attention for retinal vessel segmentation

BME

Yang Li, Lingfu Xu, Yizhu Jin, Xihe Kuang, Yue Zhang, Weigang Cui, Teng Zhang

https://doi.org/10.1109/TIM.2024.3420264

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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

@ aimed 2024. All Right Reserved.

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