| Whole heart and great vessel segmentation in congenital heart disease using deep neural networks and graph matching X Xu, T Wang, Y Shi, H Yuan, Q Jia, M Huang, J Zhuang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 66 | 2019 |
| Statistical training for neuromorphic computing using memristor-based crossbars considering process variations and noise Y Zhu, GL Zhang, T Wang, B Li, Y Shi, TY Ho, U Schlichtmann 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 54 | 2020 |
| Metamaterial thermal emitters based on nanowire cavities for high-efficiency thermophotovoltaics H Deng, T Wang, J Gao, X Yang Journal of Optics 16 (3), 035102, 2014 | 50 | 2014 |
| Numerical investigation on CO2 photocatalytic reduction in optical fiber monolith reactor T Wang, L Yang, X Du, Y Yang Energy conversion and management 65, 299-307, 2013 | 50 | 2013 |
| Msu-net: Multiscale statistical u-net for real-time 3d cardiac mri video segmentation T Wang, J Xiong, X Xu, M Jiang, H Yuan, M Huang, J Zhuang, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 49 | 2019 |
| Imagecas: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images A Zeng, C Wu, G Lin, W Xie, J Hong, M Huang, J Zhuang, S Bi, D Pan, ... Computerized Medical Imaging and Graphics 109, 102287, 2023 | 47 | 2023 |
| Imagechd: A 3d computed tomography image dataset for classification of congenital heart disease X Xu, T Wang, J Zhuang, H Yuan, M Huang, J Cen, Q Jia, Y Dong, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 45 | 2020 |
| ENSEI: Efficient secure inference via frequency-domain homomorphic convolution for privacy-preserving visual recognition S Bian, T Wang, M Hiromoto, Y Shi, T Sato Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 42 | 2020 |
| Imagetbad: A 3d computed tomography angiography image dataset for automatic segmentation of type-b aortic dissection Z Yao, W Xie, J Zhang, Y Dong, H Qiu, H Yuan, Q Jia, T Wang, Y Shi, ... Frontiers in Physiology 12, 732711, 2021 | 33 | 2021 |
| Ica-unet: Ica inspired statistical unet for real-time 3d cardiac cine mri segmentation T Wang, X Xu, J Xiong, Q Jia, H Yuan, M Huang, J Zhuang, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 33 | 2020 |
| SCNN: A general distribution based statistical convolutional neural network with application to video object detection T Wang, J Xiong, X Xu, Y Shi Proceedings of the AAAI Conference on Artificial Intelligence 33, 5321-5328, 2019 | 32 | 2019 |
| Quantization of deep neural networks for accurate edge computing W Chen, H Qiu, J Zhuang, C Zhang, Y Hu, Q Lu, T Wang, Y Shi, M Huang, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-11, 2021 | 26 | 2021 |
| Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks X Xu, Q Lu, T Wang, J Liu, C Zhuo, XS Hu, Y Shi 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 880-887, 2017 | 23 | 2017 |
| Efficient hardware implementation of cellular neural networks with incremental quantization and early exit X Xu, Q Lu, T Wang, Y Hu, C Zhuo, J Liu, Y Shi ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (4), 1-20, 2018 | 22 | 2018 |
| Numerical investigation on photocatalytic CO2 reduction by solar energy in double-skin sheet reactor T Wang, L Yang, K Yuan, X Du, Y Yang Energy conversion and management 87, 606-617, 2014 | 20 | 2014 |
| Resource constrained cellular neural networks for real-time obstacle detection using fpgas X Xu, T Wang, Q Lu, Y Shi 2018 19th International Symposium on Quality Electronic Design (ISQED), 437-440, 2018 | 15 | 2018 |
| Accurate Congenital Heart Disease ModelGeneration for 3D Printing X Xu, T Wang, D Zeng, Y Shi, Q Jia, H Yuan, M Huang, J Zhuang 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 127-130, 2019 | 12 | 2019 |
| Entropy production-based full-chip fatigue analysis: From theory to mobile applications T Wang, SK Samal, SK Lim, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 11 | 2018 |
| Towards cardiac intervention assistance: hardware-aware neural architecture exploration for real-time 3D cardiac cine MRI segmentation D Zeng, W Jiang, T Wang, X Xu, H Yuan, M Huang, J Zhuang, J Hu, Y Shi Proceedings of the 39th International Conference on Computer-Aided Design, 1-8, 2020 | 10 | 2020 |
| Reliable and robust RRAM-based neuromorphic computing GL Zhang, B Li, Y Zhu, S Zhang, T Wang, Y Shi, TY Ho, H Li, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 33-38, 2020 | 8 | 2020 |
Yiyu ShiFull Professor, University of Notre DameDirección de correo verificada de nd.edu