no code implementations • 27 Nov 2023 • Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye
Recent advancements in Artificial Intelligence (AI) have profoundly influenced medical fields, by providing tools to reduce clinical workloads.
1 code implementation • 3 Nov 2023 • Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye
Target volume contouring for radiation therapy is considered significantly more challenging than the normal organ segmentation tasks as it necessitates the utilization of both image and text-based clinical information.
no code implementations • 16 Oct 2023 • Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung
Thus, we use the Koopman operator to represent the nonlinear dynamics of a vehicle in dynamic lane-keeping situations.
no code implementations • 18 Sep 2023 • Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung
We approximate the Koopman operator in a finite-dimensional space with the autoencoder, while the approximated Koopman has an approximation uncertainty.
no code implementations • 16 Sep 2023 • Ying Shuai Quan, Jin Sung Kim, Chung Choo Chung
This paper proposes a Recurrent Neural Network (RNN) controller for lane-keeping systems, effectively handling model uncertainties and disturbances.
no code implementations • 11 Aug 2023 • Ju Won Seo, Jin Sung Kim, Chung Choo Chung
With the proposed DNN, we obtained the highest accuracy of 98. 0\% and 98. 6\% for two subregions near the vehicle.
no code implementations • 3 May 2021 • Ying Shuai Quan, Jin Sung Kim, Chung Choo Chung
In this paper, to reduce the computational complexity, Principal Component Analysis (PCA)-based parameter reduction is performed to obtain a reduced model with a tighter convex set.
no code implementations • 23 Apr 2021 • Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve Jiang
Finally, in the sCT reconstruction task, the MAE is reduced from 68 to 22 HU by utilizing the IDOL framework.