Fengming Lin

According to our database, Fengming Lin authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A distributionally robust chance-constrained kernel-free quadratic surface support vector machine.

Fengming Lin, Shu-Cherng Fang, Xiaolei Fang, Zheming Gao, Jian Luo

Eur. J. Oper. Res., 2024

Distributionally robust chance-constrained kernel-based support vector machine.

Fengming Lin, Shu-Cherng Fang, Xiaolei Fang, Zheming Gao

Comput. Oper. Res., 2024

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

Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning.

Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries.

Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model.

Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi

Comput. Methods Programs Biomed., March, 2023

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels.

Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

2021

Path aggregation U-Net model for brain tumor segmentation.

Fengming Lin, Qiang Wu, Ju Liu, Dawei Wang, Xiangmao Kong

Multim. Tools Appl., 2021

Tool Orientation Optimization and Path Planning for 5-Axis Machining.

Chun-Ming Yuan, Zhenpeng Mi, Xiaohong Jia, Fengming Lin, Liyong Shen

J. Syst. Sci. Complex., 2021

2019

Certified space curve fitting and trajectory planning for CNC machining with cubic B-splines.

Fengming Lin, Li-Yong Shen, Chun-Ming Yuan, Zhenpeng Mi

Comput. Aided Des., 2019

FMNet: Feature Mining Networks for Brain Tumor Segmentation.

Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network.

Wei Shi, Enshuai Pang, Qiang Wu, Fengming Lin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Hybrid Pyramid U-Net Model for Brain Tumor Segmentation.

Xiangmao Kong, Guoxia Sun, Qiang Wu, Ju Liu, Fengming Lin

Proceedings of the Intelligent Information Processing IX, 2018