Yifei Chen
Affiliations:- Tsinghua University, School of Biomedical Engineering, Beijing, China
- Hangzhou Dianzi University, China (former)
According to our database1,
Yifei Chen authored at least 35 papers
between 2024 and 2026.
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Bibliography
2026
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling.
IEEE J. Biomed. Health Informatics, May, 2026
CoRR, May, 2026
CoRR, May, 2026
R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound.
CoRR, May, 2026
INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI.
CoRR, May, 2026
Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI.
CoRR, May, 2026
EXACT: an explainable anomaly-aware vision foundation model for analysis of 3D chest CT.
CoRR, April, 2026
CoRR, March, 2026
MicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling.
NeuroImage, 2026
No modality left behind: Adapting to missing modalities via knowledge distillation for brain tumor segmentation.
Medical Image Anal., 2026
Towards practical Alzheimer's Disease diagnosis: A lightweight and interpretable spiking neural model.
Biomed. Signal Process. Control., 2026
IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation.
CoRR, December, 2025
IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution.
CoRR, November, 2025
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction.
CoRR, October, 2025
SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI.
CoRR, September, 2025
Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model.
CoRR, June, 2025
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis.
CoRR, April, 2025
MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation.
CoRR, March, 2025
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms.
IEEE J. Biomed. Health Informatics, January, 2025
LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset.
Expert Syst. Appl., 2025
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
FetalExtract-LLM: Structured Information Extraction from Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-Weights Large Language Models.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
WARPNet: Scale-Wise Autoregressive Cross-Modal Synthesis for Accurate and Detail-Preserving MRI-to-PET Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality Mri Conditions for Brain Tumor Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.
Comput. Biol. Medicine, March, 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
CoRR, 2024
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling.
CoRR, 2024
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI.
CoRR, 2024
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024