Hybrid Pyramid U-Net Model for Brain Tumor Segmentation. - Xiangmao Kong; Guoxia Sun; Qiang Wu 009; Ju Liu; Fengming Lin (IIP, 2018)

Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network. - Wei Shi; Enshuai Pang; Qiang Wu 009; Fengming Lin (BrainLes@MICCAI (1), 2019)

FMNet: Feature Mining Networks for Brain Tumor Segmentation. - Fengming Lin; Ju Liu; Qiang Wu 009; Xiangmao Kong; Wali Ullah Khan; Wei Shi; Enshuai Pang (ICTAI, 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)

Tool Orientation Optimization and Path Planning for 5-Axis Machining. - Chun-Ming Yuan; Zhenpeng Mi; Xiaohong Jia 001; Fengming Lin; Liyong Shen (J. Syst. Sci. Complex., 2021)

Path aggregation U-Net model for brain tumor segmentation. - Fengming Lin; Qiang Wu 009; Ju Liu; Dawei Wang; Xiangmao Kong (Multim. Tools Appl., 2021)

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. - Fengming Lin; Yan Xia 002; Nishant Ravikumar; Qiongyao Liu; Michael MacRaild; Alejandro F. Frangi (DALI@MICCAI, 2023)

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. - Fengming Lin; Yan Xia 002; Shuang Song 005; Nishant Ravikumar; Alejandro F. Frangi (Comput. Methods Programs Biomed., 2023)

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 (ISBI, 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 (ISBI, 2024)

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. - Fengming Lin; Yan Xia 002; Yash Deo; Michael MacRaild; Haoran Dou; Qiongyao Liu; Kun Wu; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 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 002; Michael MacRaild; Yash Deo; Haoran Dou; Qiongyao Liu; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

Distributionally robust chance-constrained kernel-based support vector machine. - Fengming Lin; Shu-Cherng Fang; Xiaolei Fang; Zheming Gao (Comput. Oper. Res., 2024)

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. - 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; et al. (CoRR, 2024)

A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. - Fengming Lin; Shu-Cherng Fang; Xiaolei Fang; Zheming Gao; Jian Luo 006 (Eur. J. Oper. Res., 2024)

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction. - Fengming Lin; Arezoo Zakeri; Yidan Xue; Michael MacRaild; Haoran Dou; Zherui Zhou; Ziwei Zou; Ali Sarrami-Foroushani; Jinming Duan 001; Alejandro F. Frangi (CoRR, 2025)