no code implementations • 30 May 2023 • Ziyu Ni, Linda Wei, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang
In this work, we proposed an end-to-end deep learning framework, which could predict the coronary artery hemodynamics from CCTA images.
no code implementations • 7 May 2023 • Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang
3) A dataset named CCA-200 is collected, consisting of 200 CCTA images with coronary artery disease.
no code implementations • 4 Sep 2022 • Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
The synergistic safety layer uses only verifiable and logically analyzable software to fulfill its tasks.
1 code implementation • 30 Aug 2022 • Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
Perception of obstacles remains a critical safety concern for autonomous vehicles.
no code implementations • 18 Nov 2021 • Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong Liu, Tarek Abdelzaher, Lui Sha
Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks.