Suya Han

According to our database, Suya Han authored at least 7 papers between 2017 and 2025.

Collaborative distances:

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

2025

Reinforcement tokenization and graph convolution for high-precision breast tumor segmentation in DCE-MRI.

Arslan Akbar, Suya Han, Naveed Urr Rehman, Rabia Irshad, Kanwal Ahmed, Muhammad Mumtaz Ali, Alanoud Al Mazroa

Biomed. Signal Process. Control., 2025

2024

An efficient adaptive method based on empirical wavelet transform for ultrasound tissue harmonic imaging.

Suya Han, Yufeng Zhang, Lihua Jian, Zhiyao Li, Bingbing He

Biomed. Signal Process. Control., January, 2024

A Multi-Modal and Multi-View Fusion Network for BI-RADS Five-Classification of Breast Tumors.

Huiru Ming, Lei Yang, Minghui Chen, Suya Han, Hongwei Xu, Ling Ma, Xin Zhao, Huiqin Jiang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

MSA-GCN: A Multi-information Selection Aggregation Graph Convolutional Network for Breast Tumor Grading.

Kang Li, Suya Han, Lei Yang, Zizhao Sun, Zhan Yu, Hongwei Xu, Ling Ma, Jianbo Gao, Huiqin Jiang

IEEE J. Biomed. Health Informatics, December, 2023

2021

Microwave Ablation Monitoring based on Automatic Segmentation of Ultrasonic Harmonic Envelope Nakagami Parametric Imaging.

Yuxin Zhuo, Yufeng Zhang, Suya Han, Zhiyao Li, Yifeng Dong

Proceedings of the ICCBN 2021: 9th International Conference on Communications and Broadband Networking, Shanghai, China, 25 February, 2021, 2021

An Adaptive Method for Harmonic Separation from Ultrasonic Echo Signals Based on the Empirical Wavelet Transform Algorithm.

Suya Han, Yufeng Zhang, Huiqin Jiang, Jingying Zhu

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2017

A novel method for separating harmonic from ultrasonic echo signals using improved complete ensemble empirical mode decomposition with adaptive noise algorithm.

Suya Han, Yufeng Zhang, Bingbing He, Junhua Zhang, Zhiyao Li

Proceedings of the 10th International Congress on Image and Signal Processing, 2017