| Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks Z Feng, D Nie, L Wang, D Shen 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 61 | 2018 |
| Lattice: An ADC/DAC-less ReRAM-based processing-in-memory architecture for accelerating deep convolution neural networks Q Zheng, Z Wang, Z Feng, B Yan, Y Cai, R Huang, Y Chen, CL Yang, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 45 | 2020 |
| Lumen segmentation of aortic dissection with cascaded convolutional network Z Li, J Feng, Z Feng, Y An, Y Gao, B Lu, J Zhou Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 30 | 2019 |
| Left atrium segmentation in CT volumes with fully convolutional networks H Liu, J Feng, Z Feng, J Lu, J Zhou Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 19 | 2017 |
| Two-stream attention spatio-temporal network for classification of echocardiography videos Z Feng, JA Sivak, AK Krishnamurthy 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1461-1465, 2021 | 16 | 2021 |
| Self-supervised audio-visual representation learning for in-the-wild videos Z Feng, M Tu, Y Wang, A Krishnamurthy 2020 IEEE International Conference on Big Data (Big Data), 5671-5672, 2020 | 7 | 2020 |
| Multimodal fusion of echocardiography and electronic health records for the detection of cardiac amyloidosis Z Feng, JA Sivak, AK Krishnamurthy International Conference on Artificial Intelligence in Medicine, 227-237, 2024 | 5 | 2024 |
| Improving echocardiography segmentation by polar transformation Z Feng, JA Sivak, AK Krishnamurthy International Workshop on Statistical Atlases and Computational Models of …, 2022 | 5 | 2022 |
| Fusing Multiple Information Sources for Predictive Cardiac Modeling Z Feng The University of North Carolina at Chapel Hill, 2024 | | 2024 |
