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Zishun Feng
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2020 – today
- 2024
- [b1]Zishun Feng:
Fusing Multiple Information Sources for Predictive Cardiac Modeling. University of North Carolina, Chapel Hill, USA, 2024 - [c8]Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. AIME (2) 2024: 227-237 - 2022
- [c7]Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Improving Echocardiography Segmentation by Polar Transformation. STACOM@MICCAI 2022: 133-142 - 2021
- [c6]Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Two-Stream Attention Spatio-Temporal Network For Classification Of Echocardiography Videos. ISBI 2021: 1461-1465 - 2020
- [c5]Zishun Feng, Ming Tu, Rui Xia, Yuxuan Wang, Ashok K. Krishnamurthy:
Self-Supervised Audio-Visual Representation Learning for in-the-wild Videos. IEEE BigData 2020: 5671-5672 - [c4]Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li:
Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. DAC 2020: 1-6
2010 – 2019
- 2018
- [c3]Zishun Feng, Dong Nie, Li Wang, Dinggang Shen:
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. ISBI 2018: 885-888 - [c2]Ziyan Li, Jianjiang Feng, Zishun Feng, Yunqiang An, Yang Gao, Bin Lu, Jie Zhou:
Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Network. STACOM@MICCAI 2018: 122-130 - 2017
- [c1]Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou:
Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 39-46
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