Songbai Jin

According to our database, Songbai Jin authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Annotation Cost Minimization for Ultrasound Image Segmentation Using Cross-Domain Transfer Learning.

Patrice Monkam, Songbai Jin, Wenkai Lu

IEEE J. Biomed. Health Informatics, April, 2023

Deep Learning for 3-D Magnetic Inversion.

Zhuo Jia, Yinshuo Li, Yonghao Wang, Yang Li, Songbai Jin, Yuxuan Li, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2023

US-Net: A lightweight network for simultaneous speckle suppression and texture enhancement in ultrasound images.

Patrice Monkam, Wenkai Lu, Songbai Jin, Wenjun Shan, Jing Wu, Xiang Zhou, Bo Tang, Hua Zhao, Hongmin Zhang, Xin Ding, Huan Chen, Longxiang Su

Comput. Biol. Medicine, 2023

2022

Reservoir Prediction Based on Closed-Loop CNN and Virtual Well-Logging Labels.

Cao Song, Wenkai Lu, Yuqing Wang, Songbai Jin, Jinliang Tang, Lei Chen

IEEE Trans. Geosci. Remote. Sens., 2022

An efficient annotated data generation method for echocardiographic image segmentation.

Patrice Monkam, Songbai Jin, Wenkai Lu

Comput. Biol. Medicine, 2022

Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation.

Songbai Jin, Wenkai Lu, Patrice Monkam

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022