Zishun Feng

According to our database, Zishun Feng authored at least 7 papers between 2017 and 2022.

Collaborative distances:

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

2022

Improving Echocardiography Segmentation by Polar Transformation.

Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Two-Stream Attention Spatio-Temporal Network For Classification Of Echocardiography Videos.

Zishun Feng, Joseph A. Sivak, Ashok Kumar Krishnamurthy

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks.

Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Self-Supervised Audio-Visual Representation Learning for in-the-wild Videos.

Zishun Feng, Ming Tu, Rui Xia, Yuxuan Wang, Ashok Kumar Krishnamurthy

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Network.

Ziyan Li, Jianjiang Feng, Zishun Feng, Yunqiang An, Yang Gao, Bin Lu, Jie Zhou

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks.

Zishun Feng, Dong Nie, Li Wang, Dinggang Shen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks.

Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017