😊 About Me
- I am about to become a Specially Appointed Associate Researcher (特任副研究员) at Institute of Artificial Intelligence, Hefei Comprehensive National Science Center since July, 2025.
- I got my Ph. D. degree from School of Biomedical Engineering, University of Science and Technology of China (USTC) in 2025, supervised by Prof. S. Kevin Zhou.
- I received my bachelor’s and master’s degree (Supervisor: Zhongze Gu) from Southeast University (SEU) in 2018 and 2021, respectively.
- My research interests mainly focus on algorithm fairness in medical image analysis, and AI technologies in major neurological disorders of the brain.
🔥 News
- 2025.05: The moment I’ve been working toward for years - I just aced my Ph. D. defense! 🎓🥂 All those late nights finally paid off!
- 2025.04: One paper accepted by npj Digital Medicine.
- 2025.03: One paper accepted by MIDL-25 (Oral).
- 2025.01 One paper accepted by Medical Image Analysis.
- 2024.10: One paper accepted by npj Digital Medicine.
- 2024.09: One paper accepted by NeurIPS-24.
- 2024.05: One paper accepted by MICCAI-24.
- 2023.02: Two papers accepted by MIDL-24.
- 2023.05: One paper accepted by MICCAI-23.
📝 Publications
(Selected publications, *
indicates equal contribution and ✉️ represents corresponding author.)
Algorithm Fairness
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npj Digit. Med. 2025
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings
Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou✉️[code][Nature]
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npj Digit. Med. 2024
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, and S. Kevin Zhou✉️[code][Nature]
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NeurIPS 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin*, Zikang Xu*, Yuan Zhong*, Qingsong Yao, Qi Dou✉️, S. Kevin Zhou✉️, Xiaoxiao Li✉️[code][OpenReview]
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MICCAI 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou✉️[code][Springer]
Landmark Detection
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MICCAI 2024
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection (Early Accept)
Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou✉️ [Springer] -
MIDL 2024
OFELIA: Optical Flow-based Electrode LocalIzAtion
Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou✉️ [OpenReview]
Medical Image Segmentation
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Med. Image Anal. 2025
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation
Qiyuan Wang, Shang Zhao, Zikang Xu, S. Kevin Zhou✉️ [ScienceDirect] -
MIDL 2024
Slide-SAM: Medical SAM Meets Sliding Window (Oral)
Quan Quan*, Fenghe Tang*, Zikang Xu, Heqin Zhu, S. Kevin Zhou✉️[code][arXiv]
MISC
MIDL 2025
Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology (Oral)
Qiuyi Qi*, Xin Li*, Ming Kong, Zikang Xu, Bingdi Chen, Qiang Zhu✉️, S Kevin Zhou✉️[code][OpenReview]
🎖 Honors and Awards
- 2025: Outstanding Graduate of Anhui Province
- 2025: Outstanding Graduate of the University of Science and Technology of China (USTC)
- 2021, 2023, 2024: Academic First Class Scholarship in USTC
- 2022: Academic Second Class Scholarship in USTC
- 2021: Suzhou Industrial Park Scholarship
📖 Educations
- 2021.09 - 2025.06, Ph. D., School of Biomedical Engineering, University of Science and Technology of China (USTC), Suzhou, China
- 2018.09 - 2021.06, Master, School of Biological Science and Medical Engineering, Southeast University (SEU), Nanjing, China
- 2016.09 - 2018.06, Undergraduate, School of Biological Science and Medical Engineering, Southeast University (SEU), Nanjing, China
- 2014.09 - 2016.06, Undergraduate, Chien-Shiung Wu College (honors college), Southeast University (SEU), Nanjing, China
💬 Professional Services
Journal Reviewers:
- IEEE Transactions on Medical Imaging
- ACM Transactions on Computing for Healthcare
Conference Reviewers:
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025)
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)
- International Conference on Bioinformatics and Biomedicine (BIBM 2024)
- IEEE International Symposium on Biomedical Imaging (ISBI 2025)
Teaching Assistant:
- 2022 Fall, USTC, Medical Image Computing (BMED6208P.01_152261)
- 2023 Fall, USTC, Medical Image Computing (BMED6208P.01_152261)
💬 Invited Talks
- 2024.10, Benchmarking Fairness in Medical Foundation Models. IEEE International Conference on Universal Village (IEEE UV 2024)
💻 Internships
- 2023.06 - 2023.10, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China