😉 About Me

I’m currently a first-year 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 and Prof. Changmiao Wang（王昌淼） from Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen).

My research interests include Artificial Intelligence: Computer Vision, Pattern Recognition and AI for Medicine (Specializing in). I’m looking to collaborate on: Medical Image Analysis, Multimodal and Large Model.

📖 Educations

• 2025.09 - 2030.06, Doctor of Philosophy student: Biomedical Engineering, Tsinghua University, Beijing, China.
• 2021.09 - 2025.06, Undergraduate student: Computer Science of Technology, Hangzhou Dianzi University, Hangzhou, China.

💻 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

• 2025.10.21: 🎉🎉 Our paper has been accepted by IEEE Journal of Biomedical and Health Informatics!
• 2025.10.05: 🎉🎉 Our two papers have been accepted by BIBM 2025 (Oral)!
• 2025.09.27: 🎉🎉 Won 1st place in the MICCAI autoPET Challenge!
• 2025.09.23: 🎉🎉 Won 2nd place in the MICCAI VLM3D Challenge and 3rd place in the MICCAI HECKTOR Challenge!
• 2025.07.24: 🎉🎉 Our paper has been accepted by RSNA 2025!
• 2025.07.17: 🎉🎉 Our paper has been accepted by MICCAI 2025 Workshop on Perinatal, Preterm and Paediatric Image Analysis (Oral)!
• 2025.07.09: 🎉🎉 Our paper has been accepted by Pattern Recognition!
• 2025.06.18: 🎉🎉 Our paper has been accepted by MICCAI 2025!
• 2025.03.27: 🎉🎉 Our paper has been accepted by MIDL 2025!
• 2025.02.01: 🎉🎉 Our paper has been accepted by ISMRM 2025!
• 2025.01.07: 🎉🎉 Our paper has been accepted by Expert Systems with Applications!
• 2025.01.03: 🎉🎉 Our paper has been accepted by ISBI 2025 (Oral)!
• 2024.12.24: 🎉🎉 Our paper has been accepted by ISMRM 2025 Workshop on 40 Years of Diffusion!
• 2024.12.21: 🎉🎉 Our paper has been accepted by ICASSP 2025!
• 2024.12.17: 🎉🎉 Our paper has been accepted by Scientific Data!

📝 Publications

Selected JOURNAL PAPERS [Full list is available in Google Scholar]

• 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.

• MICCAI 2023 STS Challenge: A retrospective study of semi-supervised approaches for teeth segmentation, Yaqi Wang, Yifan Zhang, …, Yifei Chen, … Jun Liu^*, …, Huiyu Zhou^*, Qun Jin, Pattern Recognition 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.

• LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset, Zhaojie Fang, Xiao Yu, Guanyu Zhou, Ke Zhuang, Yifei Chen, Ruiquan Ge^*, Changmiao Wang^*, Gangyong Jia, Qing Wu, Juan Ye, Maimaiti Nuliqiman, Peifang Xu, Ahmed Elazab, Expert Systems with Applications 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 2024.

• 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.

Selected CONFERENCE PAPERS [Full list is available in Google Scholar]

• (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.

• (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, and Changmiao Wang, BIBM 2025.

• (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, Changmiao Wang, Feiwei Qin^*, MICCAI 2025.

• 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.

• Toward Robust Early Detection of Alzheimer’s Disease via an Integrated Multimodal Learning Approach, Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin^*, Jin Fan, Yong Peng, Changmiao Wang, ICASSP 2025.

• (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.

• 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.

• (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.

• Deep Object Detection Network Based Automatic Spinopelvic Parameters Measurement Method for Adult Spinal Deformity Classification, Yifei Chen, Weiqing Hu, Binfeng Zou, Yitong Pan, Yunyang Ge, Feiwei Qin^*, Liang Shan, AINIT 2023.

• RTUNet++: Assessment of Osteosarcoma MRI Image Segmentation leveraging Hybrid CNN-Transformer Approach with Dense Skip Connection, Binfeng Zou, Yifei Chen, Zhanghao Chen, Yifei Sun, Yifan Huang, Feiwei Qin^*, Changmiao Wang, ICSIP 2023.

Selected CONFERENCE ABSTRACTS [Full list is available in Google Scholar]

• HUMMID: High-fidelity Ultra-fast Macrostructure and Microstructure Imaging Using Deep Learning, Yuhang He, Jialan Zheng, Hongjia Yang, Yifei Chen, Zihan Li, Mingxuan Liu, Qiuyuan Fan, Yi Liao, Haibo Qu, Qiyuan Tian, Jie Lu, Ziyu Li^*, RSNA 2025.

• DiffKAN: Convolutional Kolmogorov-Arnold Networks for Improved Diffusion MRI Microstructural Modeling, Yifei Chen, Zihan Li, Yuanhan Wang, Ziyu Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Qiyuan Tian^*, ISMRM 2025.

• DiffKAN3D: Efficient and Accurate 3D Diffusion MRI Parameter Estimation for Real-Time Clinical Applications, Yifei Chen, Zihan Li, Shenghao Zhu, Ziyu Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Qiyuan Tian^*, ISMRM 2025 Workshop on 40 Years of Diffusion.

🏅 Honors

• 2024-2025 Academic Year Outstanding Graduates of Zhejiang Province and Graduate Entrance Examination Scholarship.
• 2023-2024 Academic Year, twice University First-Class Scholarships and National Scholarship.
• 2023-2024 Academic Year, Top 10 Outstanding Students in the 6th “Youth of HDU” program.
• 2022-2023 Academic Year, twice University First-Class Scholarships and National Scholarship.
• 2022-2023 Academic Year, “Innovation Star” of the Top 100 Outstanding Students in the 5th “Youth of HDU” program.
• 2021-2022 Academic Year, twice University First-Class Scholarships and Zhejiang Provincial Government Scholarship.

💰 Funding

• 2025 Zhejiang Provincial Undergraduate Scientific and Technological Innovation Activities Program (Key Member, New Talent Program).
• 2024 National Undergraduate Innovation and Entrepreneurship Training Program (Key Member).
• 2024 Zhejiang Provincial Undergraduate Scientific and Technological Innovation Activities Program (Key Member, New Talent Program).
• 2023 National Undergraduate Innovation and Entrepreneurship Training Program (Project Lead, Key Supporting Field Project).

👯 Academic Activities

• 2025.10.10 Attended the 2025 International Symposium on Image Computing and Digital Medicine in Beijing, China.
• 2025.09.23 Attended the 2025 International Conference on Medical Image Computing and Computer Assisted Intervention in Daejeon, Korea.
• 2025.09.09 Attended the 2025 Beijing Radiology Quality Control Conference in Beijing, China.
• 2025.07.18 Attended the 2025 Medical Imaging Computing Seminar in Cixi, Zhejiang, China.
• 2025.07.09 Attended the 2025 Medical Imaging with Deep Learning in Salt Lake City, Utah, United States of America.
• 2025.06.20 Attended the 2025 China Biomedical Engineering Conference & Medical Innovation Summit in Suzhou, Jiangsu, China.
• 2025.05.10 Attended the 2025 ISMRM & ISMRT Annual Meeting & Exhibition in Honolulu, Hawaii, United States of America.
• 2025.02.16 Attended the ISMRM 2025 Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives in Kyoto, Japan.

💬 Academic Services

• Journal Reviewers of: EAAI, KBS, ESWA, COMPAG, COMPUT IND, CIBM, BSPC, JSCI, MEAS, SR, MPB, IJCARS, IMAVIS, JDIM, DISPLA, BMC AI, MVA, SIVP, MEX, IRBM, DSP, Discover AI.
• Conference Reviewers of: CVPR 2026, NeurIPS 2025, AAAI 2025, ECAI 2025, MICCAI 2025, BMVC2025, CHIL 2025, SciPy 2025, ICECET 2025, ACDSA 2025.