Fengming Lin - RankMe

22 papers B 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reg-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration. CoRR Lin Chen, Yue He, Fengting Zhang, Yaonan Wang, Fengming Lin, Xiang Chen, Min Liu
2025	J	`jnl`	A quadratic $$\nu $$-support vector regression approach for load forecasting. Complex Intell. Syst. Yanhe Jia, Shuaiguang Zhou, Yiwen Wang, Fengming Lin, Zheming Gao
2025	J	`jnl`	From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction. CoRR Fengming Lin, Arezoo Zakeri, Yidan Xue, Michael MacRaild, Haoran Dou, Zherui Zhou, Ziwei Zou, Ali Sarrami-Foroushani, Jinming Duan, Alejandro F. Frangi
2025	J	`jnl`	Vision Language Models: A Survey of 26K Papers. CoRR Fengming Lin
2024	J	`jnl`	A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. Eur. J. Oper. Res. Fengming Lin, Shu-Cherng Fang, Xiaolei Fang, Zheming Gao, Jian Luo
2024	J	`jnl`	Distributionally robust chance-constrained kernel-based support vector machine. Comput. Oper. Res. Fengming Lin, Shu-Cherng Fang, Xiaolei Fang, Zheming Gao
2024	—	`conf`	Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2024	—	`conf`	GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. ISBI Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR 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, Cristóbal 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
2024	—	`conf`	Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. ISBI Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi
2024	—	`conf`	Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. ISBI Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
2023	J	`jnl`	Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
2023	—	`conf`	Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
2023	J	`jnl`	High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi
2021	J	`jnl`	Path aggregation U-Net model for brain tumor segmentation. Multim. Tools Appl. Fengming Lin, Qiang Wu, Ju Liu, Dawei Wang, Xiangmao Kong
2021	J	`jnl`	Tool Orientation Optimization and Path Planning for 5-Axis Machining. J. Syst. Sci. Complex. Chun-Ming Yuan, Zhenpeng Mi, Xiaohong Jia, Fengming Lin, Liyong Shen
2019	—	`conf`	Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network. BrainLes@MICCAI (1) Wei Shi, Enshuai Pang, Qiang Wu, Fengming Lin
2019	J	`jnl`	Certified space curve fitting and trajectory planning for CNC machining with cubic B-splines. Comput. Aided Des. Fengming Lin, Li-Yong Shen, Chun-Ming Yuan, Zhenpeng Mi
2019	B	`conf`	FMNet: Feature Mining Networks for Brain Tumor Segmentation. ICTAI Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang
2018	—	`conf`	Hybrid Pyramid U-Net Model for Brain Tumor Segmentation. IIP Xiangmao Kong, Guoxia Sun, Qiang Wu, Ju Liu, Fengming Lin