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I am a postgraduate student at City University of Hong Kong and an research assistant at Lingnan University, Hong Kong. I obtained my Bachelor's degree at Hohai University, College of Computer Science and Software Engineering. I primarily work on medical image processing. My work involves 3D/2D registration, object detection, and image segmentation. |
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[Paper] [Code] Ao Shen, Xueming Fu, Junfeng Jiang, Qiang Zeng, Ye Tang, Zhengming Chen, Luming Nong, Feng Wang, S. Kevin Zhou. 2025 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, Oral) Computed Tomography (CT)/X-ray registration in image-guided navigation remains challenging because of its stringent requirements for high accuracy and real-time performance. We introduce RadGS-Reg, a novel framework for vertebral-level CT/X-ray registration through joint 3D Radiative Gaussians (RadGS) reconstruction and 3D/3D registration. |
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Undergraduate Thesis Tumour-infiltrating lymphocytes (TILs), as a new prognostic biomarker, are of important clinical value and have an association with improved survival rates. We build a multimodal fusion pipeline framework based on CrossTransformer and KNN omics feature screening. |
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[Paper] Ting Ni, Xusheng Qian, Qiang Zeng, Yingying Ma, Ziran Xie, Yakang Dai & Zigang Che. BMC Medical Imaging We determine whether the patient has the infraorbital posterior ethmoid cells through CT segmentation, assisting doctors in diagnosis. This work is in cooperation with the Department of Otolaryngology of Nanjing Tongren Hospital. |
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[Paper] Junfeng Jiang, Lei Shuai, Qiang Zeng. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) We introduce an abductive learning mechanism for semi-supervised vertebral localization. The approach combines visual object detection with first-order logic predicate reasoning, improving the recognition rate through logical reasoning. |
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