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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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2026

A generative spike prediction model using behavioral reinforcement for re-establishing neural functional connectivity

BME

Shenghui Wu, Zhiwei Song, Xiang Zhang, Yifan Huang, Shuhang Chen, Xiang Shen, Jieyuan Tan, Mingdong Li, Ziyi Wang, Yujun Chen, Kai Liu, Dario Farina, Jose C. Principe, Yiwen Wang*

https://doi.org/10.1038/s43588-025-00915-5

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2026

G2Net:A Geometry-Guided Network for Accurate Spine Morphology Estimation from a Single RGB Image of Human Back

BME

Zishen Chen, Yuxin Wei, Moxin Zhao, Wentao Zhang, Qingyao Xiao, Xiaofen Li, Jason Pui Yin Cheung, Junming Shao, Dan Yan, Nan Meng

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2026

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework

BME

Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason P.Y. Cheung, Teng Zhang, Honghan Wu

https://doi.org/10.48550/arXiv.2406.15045

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2026

Rough Words, Precise Predictions: Coarse Text Prompts Boost Scoliosis Assessment

BME

Yuxin Wei, Moxin Zhao, Pengfei Cheng, Yan Li, Junming Shao, Jason Pui Yin Cheung, Nan Meng*

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2025

LatXGen: Toward Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment via Cross-Modal Radiographic View Synthesis

BME

Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Chris Yuk Kwan Tang, Chenxi Yu, Wenting Zhong, Pengyu Lu, Chang Shi, Yipeng Zhuang, Teng Zhang

https://doi.org/10.1109/jbhi.2025.3613010

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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 6067 1846

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