Fei Lyu

Orcid: 0000-0001-8858-8950

Affiliations:
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong


According to our database1, Fei Lyu authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Local Style Transfer via Latent Space Manipulation for Cross-Disease Lesion Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images.
CoRR, 2024

Symptom Disentanglement in Chest X-Ray Images for Fine-Grained Progression Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CAM-Guided Translation for Unpaired Weakly-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MMS: Morphology-Mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation.
IEEE Trans. Medical Imaging, March, 2023

Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation.
IEEE Trans. Medical Imaging, 2022

Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
IEEE Trans. Medical Imaging, 2022

Anatomical prior-inspired label refinement for weakly supervised liver tumor segmentation with volume-level labels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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