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I am a fourth-year Ph.D candidate at School of Biomedical Engineering, University of Science and Technology of China, Suzhou, China, majoring in Medical Image Analysis, Fairness, Trustworthy AI. Currently, I am doing research about developing fair algorithms for medical image analysis supervised by Prof. S. Kevin Zhou (周少华) at the MIRACLE Center. Before I came to USTC, I received my bachelor degree and master degree (Supervisor: Prof. Zhongze Gu (顾忠泽)) from Southeast University in 2018 and 2021, respectively. I am seeking for post-doctoral positions in the field of medical image analysis. If you have interest in my research, please feel free to contact me. Email / Google Scholar / GitHub / CV |
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Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. 
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/arXiv
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/poster
A novel FairAdaBN module which process samples in different sensitive attributes differently, to ensure model fairness in two dermatological datasets. |
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Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, and S. Kevin Zhou npj Dig. Med., 2024. 
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/Springer Nature
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A survey of fairness in medical image analysis, including concepts, algorithms, evaluations, and challenges. |
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Ruinan Jin*, Zikang Xu*, Yuan Zhong*, Qingsong Yao, Qi Dou†, S. Kevin Zhou†, Xiaoxiao Li† Annual Conference on Neural Information Processing Systems (NeurIPS) Dataset & Benchmark Track, 2024. 
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/arXiv
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An evaluation of fairness on medical foundation models, involving 20 foundation models on 17 medical datasets. |
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Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou arxiv, 2023. 
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/arXiv
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Mitigating unfairness in deployed U-Net-like and SAM-family segmentation models by latent perturbation. |
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Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou arxiv., 2023. arXiv /bibtex First attempt in evaluating fairness issues in ultrasound image segmentation. |
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Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou Medical Imaging with Deep Learning (MIDL)., 2023, oral. 
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/arXiv
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Modify Segment Anything Model (SAM) to 3D medical image segmentation. |
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Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou Medical Imaging with Deep Learning (MIDL)., 2023. OpenReview /bibtex Optical-flow-based electrode localization in catheter ablation. |
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Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024, early accept. Springer /bibtex Electrode localization in catheter ablation by spatial-context information mixup. |
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Qiyuan Wang, Shang Zhao, Zikang Xu, S. Kevin Zhou Medical Image Analysis, Volume 99, 1 January 2025, 103387. ScienceDirect /bibtex LACOSTE exploits stereo and temporal contexts for surgical instrument segmentation by applying three modules and alignment loss to make improvement from different views. |
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Zaozao Chen, Jie Huang, Jing Zhang, Zikang Xu, Qiwei Li, Jun Ouyang, Yuchuan Yan, Shiqi Sun, Huan Ye, Fei Wang, Jianfeng Zhu, Zhangyan Wang, Jie Chao, Yuepu Pu, Zhongze Gu Biosensors and Bioelectronics, Volume 219, 1 January 2023, 114772. ScienceDirect /bibtex A deep-learning algorithm was developed to characterize the activation of cells in Lung-MPS, which could provide an improved and more biomimetic sensory system for the study of COVID-19 and other high-risk infectious lung diseases. |
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Modified from Heqin Zhu |