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Fengming Lin
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 - [i4]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) - [i3]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) - [i2]Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristobal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger:
SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR abs/2411.09593 (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
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