😊 About Me
- I am a fourth-year Ph.D candidate at School of Biomedical Engineering, University of Science and Technology of China (USTC), supervised by Prof. S. Kevin Zhou.
- I received my bachelor degree and master degree (Supervisor: Zhongze Gu) from Southeast University (SEU) in 2018 and 2021, respectively.
- My research interests mainly focus on algorithm fairness and trustworthy in medical image analysis.
🔥 News
- I am seeking for postdoctoral positions in the field of medical image analysis starting in fall 2025. If you have interest in my research, please feel free to contact me.
- 2024.10: One paper accepted to npj Digital Medicine.
- 2024.09: One paper accepted to NeurIPS-24.
- 2024.05: One paper accepted to MICCAI-24.
- 2023.02: Two papers accepted to MIDL-23.
- 2023.05: One paper accepted to MICCAI-23.
📝 Publications
(Selected publications, * indicates equal contribution and ✉️ represents corresponding author.)
Algorithm Fairness
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npj Digit. Med.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] -
NeurIPS 2024FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin*, Zikang Xu*, Yuan Zhong*, Qingsong Yao, Qi Dou✉️, S. Kevin Zhou✉️, Xiaoxiao Li✉️
[code][OpenReview] -
MICCAI 2023FairAdaBN: 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] -
arXiv 2024APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou✉️
[code][arXiv] -
arXiv 2023Inspecting Model Fairness in Ultrasound Segmentation Tasks
Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou✉️ [arXiv]
Landmark Detection
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MICCAI 2024SIX-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 2024OFELIA: 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. 2024LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation
Qiyuan Wang, Shang Zhao, Zikang Xu, S. Kevin Zhou✉️ [ScienceDirect] -
MIDL 2024Slide-SAM: Medical SAM Meets Sliding Window (Oral)
Quan Quan*, Fenghe Tang*, Zikang Xu, Heqin Zhu, S. Kevin Zhou
[code][arXiv]
🎖 Honors and Awards
- 2021, 2023, 2024: Academic First Class Scholarship in USTC
- 2022: Academic Second Class Scholarship in USTC
- 2021: Suzhou Industrial Park Scholarship
📖 Educations
- 2021.09 - (now), Ph.D. student, Suzhou Institute for Advanced Research, 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 (IEEE-TMI)
Conference Reviewers:
- 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