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ORCIDFengming Lin
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2020 – today
- 2024
[j6]Fengming Lin, Shu-Cherng Fang, Xiaolei Fang
, Zheming Gao:
Distributionally robust chance-constrained kernel-based support vector machine. Comput. Oper. Res. 170: 106755 (2024)- [j5]Fengming Lin, Shu-Cherng Fang, Xiaolei Fang, Zheming Gao, Jian Luo:
A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. Eur. J. Oper. Res. 316(1): 46-60 (2024) - [c8]Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi:
Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. ISBI 2024: 1-5 - [c7]Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI 2024: 1-5 - [c6]Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi:
Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. ISBI 2024: 1-5 - [c5]Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi:
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. ISBI 2024: 1-5 - [i3]Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi:
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR abs/2402.15237 (2024) - [i2]Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi:
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR abs/2402.15239 (2024) - 2023
- [j4]Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi:
High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. 230: 107355 (2023) - [c4]Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi:
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI 2023: 106-116 - [i1]Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi:
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR abs/2308.03613 (2023) - 2021
- [j3]Chun-Ming Yuan, Zhenpeng Mi, Xiaohong Jia, Fengming Lin, Liyong Shen:
Tool Orientation Optimization and Path Planning for 5-Axis Machining. J. Syst. Sci. Complex. 34(1): 83-106 (2021) - [j2]Fengming Lin, Qiang Wu, Ju Liu, Dawei Wang, Xiangmao Kong:
Path aggregation U-Net model for brain tumor segmentation. Multim. Tools Appl. 80(15): 22951-22964 (2021)
2010 – 2019
- 2019
- [j1]Fengming Lin, Li-Yong Shen, Chun-Ming Yuan, Zhenpeng Mi:
Certified space curve fitting and trajectory planning for CNC machining with cubic B-splines. Comput. Aided Des. 106: 13-29 (2019) - [c3]Wei Shi, Enshuai Pang, Qiang Wu, Fengming Lin:
Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network. BrainLes@MICCAI (1) 2019: 273-283 - [c2]Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang:
FMNet: Feature Mining Networks for Brain Tumor Segmentation. ICTAI 2019: 555-560 - 2018
- [c1]Xiangmao Kong, Guoxia Sun, Qiang Wu, Ju Liu, Fengming Lin:
Hybrid Pyramid U-Net Model for Brain Tumor Segmentation. Intelligent Information Processing 2018: 346-355
Coauthor Index
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