I’m currently a PhD student at BIRTH Lab from School of Biomedical Engineering, Tsinghua University and fortunate to be advised by Prof. Qiyuan Tian(田启源). I was previously advised by Prof. Feiwei Qin(秦飞巍) from School of Computer Science, Hangzhou Dianzi University.
- 👯 I am looking to collaborate on Medical Image Analysis, Multimodal Learning, Large Model, AI for Medicine.
- 📣 Feel free to reach out if you are interested in collaborating on my research 🤝! Email Me!
💻 Internships
- 2024.05 - 2024.08, The Hong Kong University of Science and Technology, Smart Lab Laboratory, advised by Professor Hao Chen(陈浩).
- 2021.09 - 2024.04, The Chinese University of Hong Kong (Shenzhen), SRIBD Laboratory, advised by Professor Changmiao Wang(王昌淼).
🔥 News
- 2026.08.08: 🎉🎉 Our paper has been accepted by BMVC 2026!
- 2026.07.31: 🎉🎉 Our paper has been accepted by MICCAI 2026 Workshop on Perinatal, Preterm and Paediatric Image Analysis!
- 2026.07.27: 🎉🎉 Our paper has been accepted by Pattern Recognition!
- 2026.06.28: 🎉🎉 Our paper has been accepted by IEEE Journal of Biomedical and Health Informatics!
- 2026.06.13: 🎉🎉 Our two papers have been accepted by MICCAI 2026!
- 2026.06.08: 🎉🎉 Our paper has been accepted by Biomedical Signal Processing and Control!
- 2026.06.02: 🎉🎉 Our paper has been accepted by NeuroImage!
- 2026.05.31: 🎉🎉 Our paper has been accepted by Pattern Recognition!
- 2026.05.22: 🎉🎉 Our paper has been accepted by Knowledge-Based Systems!
- 2026.05.08: 🎉🎉 Our three papers have been early accepted by MICCAI 2026!
- 2026.04.22: 🎉🎉 Our paper has been accepted by Medical Image Analysis!
- 2026.02.13: 🎉🎉 Our four abstracts have been accepted by OHBM 2026!
- 2026.02.04: 🎉🎉 Our two abstracts have been accepted by ISMRM 2026!
- 2026.01.27: 🎉🎉 Our two abstracts have been accepted by ISMRM Workshop on Unlocking the Potential of Prenatal MRI!
- 2026.01.09: 🎉🎉 Our paper has been accepted by Biomedical Signal Processing and Control!
📝 Publications
| ✝ co-first author | * corresponding author |
Selected JOURNAL PAPERS [Full list is available in Google Scholar]
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MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network. Fuyou Mao✝, Yifei Chen✝, Beining Wu, Lixin Lin, Jinnan Dai, Zhiling Li, Yilei Chen, Yaqi Wang, Hao Zhang, Yan Tang*, Huiyu Zhou, Feiwei Qin*. Pattern Recognition 2026.
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Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction. Shuo Jiang, Zhuwen Chen, Liaoman Xu, Yanming Zhu, Changmiao Wang, Jiong Zhang, Feiwei Qin*, Yifei Chen*, Zhu Zhu*. IEEE Journal of Biomedical and Health Informatics 2026.
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MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation. Huangwei Chen✝, Yifei Chen✝, Zhenyu Yan, Mingyang Ding, Chenlei Li, Feiwei Qin, Daxing Zhang*, Zhu Zhu*. Biomedical Signal Processing and Control 2026.
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MicroKAN: Mapping Human Brain Microstructure Using Diffusion MRI and Adaptive Nonlinear Modeling. Yifei Chen✝, Zihan Li✝, Yuanhan Wang, Yijin Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Tolga Cukur, Qiuyun Fan, Ziyu Li*, Jie Lu*, Qiyuan Tian*. NeuroImage 2026.
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MUIT-TTA: Annotation-Free Intracranial Hemorrhage Segmentation via Pseudo-Anomaly Synthesis and Test-Time Adaptation. Jinying Zong✝, Yifei Chen✝, *, Mingxuan Liu✝, Yuxin Du, Changwei Wu, Beining Wu, Guanyu Zhou, Feiwei Qin*. Pattern Recognition 2026.

No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation Shenghao Zhu✝, Yifei Chen✝, Weihong Chen, Shuo Jiang, Guanyu Zhou, Yuanhan Wang, Feiwei Qin*, Changmiao Wang, Qiyuan Tian*. Medical Image Analysis 2026.
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Towards Practical Alzheimer’s Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. Changwei Wu✝, Yifei Chen✝, *, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Feiwei Qin*, Yong Peng, Jin Fan, Changmiao Wang. Biomedical Signal Processing and Control 2026.
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Tc-kanrecon: High-quality and accelerated mri reconstruction via adaptive kan mechanisms and intelligent feature scaling. Ruiquan Ge, Xiao Yu, Yifei Chen, Fan Jia, Shenghao Zhu, Dong Zeng, Changmiao Wang, Qiegen Liu*, Shanzhou Niu*. IEEE Journal of Biomedical and Health Informatics 2025.
- A multi-modal dental dataset for semi-supervised deep learning image segmentation. Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao*, Xiaodiao Chen*. Scientific Data 2025.

Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms Yifei Chen✝, Zhu Zhu✝, *, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin*, Jin Fan, Changmiao Wang, Gang Yu, Yu Gao. IEEE Journal of Biomedical and Health Informatics 2025.
ESI Hot Paper

Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin*, Yong Peng, Yu Gao. Computers in Biology and Medicine 2024.
ESI Hot Paper & ESI Highly Cited Paper
Selected CONFERENCE PAPERS [Full list is available in Google Scholar]
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(Oral) R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound. Yuanhan Wang✝, Yifei Chen✝, Beining Wu, Mingxuan Liu, Xiaotian Hu, Chunbo Jiang, Yijin Li, Changmiao Wang, Feiwei Qin*, Qiyuan Tian*. MICCAI 2026 Workshop on Perinatal, Preterm and Paediatric Image Analysis.
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GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT. Shuo Jiang✝, Yuhao Hong✝, Chunbo Jiang, Weihong Chen, Huangwei Chen, Shenghao Zhu, Beining Wu, Mingxuan Liu, Zhu Zhu, Feiwei Qin*, Min Tan, Yifei Chen*. MICCAI 2026.
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IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution. Xiang Feng✝, Tieshi Zhong✝, Shuo Chang, Weiliu Wang, Chengkai Wang, Yifei Chen, Tongyu Hu, Yuhe Wang, Zhenzhong Kuang*, Xuefei Yin, Yanming Zhu*. AAAI 2026.
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(Oral) WARPNet: Scale-wise Autoregressive Cross-modal Synthesis for Accurate and Detail-preserving MRI-to-PET Generation. Guanyu Zhou✝, Yifei Chen✝, Gaoxiang Ying, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Qiyuan Tian*, Jie Lu*. BIBM 2025.
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(Oral) DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality MRI Conditions for Brain Tumor Segmentation. Yuanhan Wang✝, Yifei Chen✝, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Shenghao Zhu, Feiwei Qin*, Jin Fan, Changmiao Wang*. BIBM 2025.
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(Oral) FetalExtract-LLM: Structured Information Extraction from Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-weights Large Language Models. Mingxuan Liu✝, Yijin Li✝, Juncheng Zhu✝, Hongjia Yang, Yiming Huang, Haoxiang Li, Yifei Chen, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian*. MICCAI 2025 Workshop on Perinatal, Preterm and Paediatric Image Analysis.

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation Shenghao Zhu✝, Yifei Chen✝, Weihong Chen, Yuanhan Wang, Chang Liu, Shuo Jiang, Feiwei Qin*, Changmiao Wang*. MICCAI 2025.
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Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest CT Using Weakly Supervised Deep Learning from Free-text Radiology Report. Xuguang Bai✝, Mingxuan Liu✝, Yifei Chen, Hongjia Yang, Qiyuan Tian*. MIDL 2025.
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Toward Robust Early Detection of Alzheimer’s Disease via an Integrated Multimodal Learning Approach. Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Linwei Qiu, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin*, Jin Fan, Yong Peng, Changmiao Wang. ICASSP 2025.
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(Oral) XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder. Shenghao Zhu, Yifei Chen, Shuo Jiang, Weihong Chen, Chang Liu, Yuanhan Wang, Xu Chen, Yifan Ke, Feiwei Qin*, Changmiao Wang, Zhu Zhu*. ISBI 2025.

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin*, Qinhai Li, Changmiao Wang*. WACV 2024.
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Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies. Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin*, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang*. ISBI 2024.
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(Oral) TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method. Chenyan Zhang, Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng, Ruiquan Ge*, Dong Zeng, Changmiao Wang*. ISBI 2024.
🎖 Honors
🏅 Awards
💰 Funding
(Key Supporting Field Project)