Publications

You can also find my co-authored paper on my Google Scholar profile.

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation

Published in ISBI, 2024

Domain Generalization, Gradient Surgery, Contrastive Learning

Recommended citation: Fengming Lin, et al. GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation[C]//2024 IEEE 21th International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://fmlinks.github.io/files/paper_lin2023gsema.pdf

Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning

Published in ISBI, 2024

Domain Adaptation

Recommended citation: Fengming Lin, et al. Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning[C]//2024 IEEE 21th International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://fmlinks.github.io/files/paper_lin2023unsupervised.pdf

Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels

Published in MICCAI DALI, 2023

Semi-Supervised Learning

Recommended citation: Fengming Lin, et al. Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. arXiv preprint arXiv:2308.03613. http://fmlinks.github.io/files/paper_lin2023adaptive.pdf

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning

Published in Computer Methods and Programs in Biomedicine, 2023

Class Imbalance, Small Target, Cerebral Vessel and Aneurysm Segmentation

Recommended citation: Fengming Lin, et al. High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Computer Methods and Programs in Biomedicine, 230, 107355. http://fmlinks.github.io/files/paper_lin2023high.pdf

Path aggregation U-Net model for brain tumor segmentation

Published in Multimedia Tools and Applications, 2020

Brain Tumor Segmentation

Recommended citation: Fengming Lin, et al. Path aggregation U-Net model for brain tumor segmentation[J]. Multimedia Tools and Applications, 2021, 80: 22951-22964. http://fmlinks.github.io/files/paper_lin2021path.pdf

FMNet: feature mining networks for brain tumor segmentation

Published in 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019

Brain Tumor Segmentation

Recommended citation: Fengming Lin, et al. FMNet: feature mining networks for brain tumor segmentation. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 555-560). IEEE. http://fmlinks.github.io/files/paper_lin2019fmnet.pdf