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1,022 results on '"Lee, Joo-Ho"'

201. Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI

Author

Pak, Elena, primary, Choi, Kyu Sung, additional, Choi, Seung Hong, additional, Park, Chul-Kee, additional, Kim, Tae Min, additional, Park, Sung-Hye, additional, Lee, Joo Ho, additional, Lee, Soon-Tae, additional, Hwang, Inpyeong, additional, Yoo, Roh-Eul, additional, Kang, Koung Mi, additional, Yun, Tae Jin, additional, Kim, Ji-Hoon, additional, and Sohn, Chul-Ho, additional

Published
2021
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202. Prediction of Recurrence Patterns in Glioblastoma Using DSC-MRI Radiomics-Based Deep Learning

Author

Shim, Ka Young, primary, Chung, Sung Won, additional, Jeong, Jae Hak, additional, Hwang, Inpyeong, additional, Park, Chul-Kee, additional, Kim, Tae Min, additional, Park, Sung-Hye, additional, Won, Jae Kyung, additional, Lee, Joo Ho, additional, Lee, Soon-Tae, additional, Yoo, Roh-Eul, additional, Kang, Koung Mi, additional, Yun, Tae Jin, additional, Kim, Ji-Hoon, additional, Sohn, Chul-Ho, additional, Choi, Kyu Sung, additional, and Choi, Seung Hong, additional

Published
2020
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203. Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery

Author

Ha, Jane, primary, Jang, Mi, additional, Kwon, Yeongkeun, additional, Park, Young Suk, additional, Park, Do Joong, additional, Lee, Joo-Ho, additional, Lee, Hyuk-Joon, additional, Ha, Tae Kyung, additional, Kim, Yong-Jin, additional, Han, Sang-Moon, additional, Han, Sang-Uk, additional, Heo, Yoonseok, additional, and Park, Sungsoo, additional

Published
2020
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206. Human-following mobile robot in a distributed intelligent sensor network

Author

Morioka, Kazuyuki, Lee, Joo-Ho, and Hashimoto, Hideki

Subjects
Robots -- Research, Robot, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, humans and robots need to be in close proximity to each other as much as possible. Moreover, it is necessary for their interactions to occur naturally. It is desirable for a robot to carry out human following, as one of the human-affinitive movements. The human-following robot requires several techniques: the recognition of the target human, the recognition of the environment around the robot, and the control strategy for following a human stably. In this research, an intelligent environment is used in order to achieve these goals. An intelligent environment is a space in which many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed intelligent sensors as stably and precisely as possible. The control law based on the virtual spring model is proposed to mitigate the difference of movement between the human and the mobile robot. The proposed control law is applied to the intelligent environment and its performance is verified by the computer simulation and the experiment. Index Terms--Distributed sensors, intelligent environment, mobile robot, tracking control.

Published
2004

208. Controlling mobile robots in distributed intelligent sensor network

Author

Lee, Joo-Ho and Hashimoto, Hideki

Subjects
Sensors -- Usage, Mobile robots -- Research, Industrial electronics -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Mobile robots need sufficient sensors and information on the environment in order to navigate. In this paper, we propose a system of mobile robots, which is controlled in a distributed intelligent sensor network. In such a networked space, the environment is divided by distributed sensors. Each area is monitored by a distributed sensor device, which connects with other distributed sensor devices and robots throughout the network. As a result, the mobile robots are able to accomplish tasks simply by following orders from the sensor devices in the networked environment, although the mobile robots are not self-contained with information on the environment and sensors for self-positioning and control. We test several situations to verify the proposed system. Index Terms--Distributed decision making, intelligent networks, mobile robots.

Published
2003

212. Radiological assessment schedule for high-grade glioma patients during the surveillance period using parametric modeling

Author

Ji, So Young, primary, Lee, Jongjin, additional, Lee, Joo Ho, additional, Lee, Soon-Tae, additional, Won, Jae Kyung, additional, Kim, Jin Wook, additional, Kim, Yong Hwy, additional, Kim, Tae Min, additional, Choi, Seung Hong, additional, Park, Sung-Hye, additional, Kim, Yongdai, additional, and Park, Chul-Kee, additional

Published
2020
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232. Glioblastoma Cellular Origin and the Firework Pattern of Cancer Genesis from the Subventricular Zone

Author

Yoon, Seon-Jin, primary, Park, Junseong, additional, Jang, Dong-Su, additional, Kim, Hyun Jung, additional, Lee, Joo Ho, additional, Jo, Euna, additional, Choi, Ran Joo, additional, Shim, Jin-Kyung, additional, Moon, Ju Hyung, additional, Kim, Eui-Hyun, additional, Chang, Jong Hee, additional, Lee, Jeong Ho, additional, and Kang, Seok-Gu, additional

Published
2020
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247. Absolute quantification of tumor-infiltrating immune cells in high-grade glioma identifies prognostic and radiomics values.

Author

Kim, A. Reum, Choi, Kyu Sung, Kim, Min-Sung, Kim, Kyung-Min, Kang, Ho, Kim, Sojin, Chowdhury, Tamrin, Yu, Hyeon Jong, Lee, Chae Eun, Lee, Joo Ho, Lee, Soon-Tae, Won, Jae Kyung, Kim, Jin Wook, Kim, Yong-Hwy, Kim, Tae Min, Park, Sung-Hye, Choi, Seung Hong, Shin, Eui-Cheol, and Park, Chul-Kee

Subjects
PROGNOSIS, MAGNETIC resonance imaging, BRAIN tumors, OVERALL survival, ISOCITRATE dehydrogenase, GLIOMAS, TUMOR-infiltrating immune cells
Abstract

Purpose: To understand the tumor immune microenvironment precisely, it is important to secure the quantified data of tumor-infiltrating immune cells, since the immune cells are true working unit. We analyzed unit immune cell number per unit volume of core tumor tissue of high-grade gliomas (HGG) to correlate their immune microenvironment characteristics with clinical prognosis and radiomic signatures. Methods: The number of tumor-infiltrating immune cells from 64 HGG core tissue were analyzed using flow cytometry and standardized. After sorting out patient groups according to diverse immune characteristics, the groups were tested if they have any clinical prognostic relevance and specific radiomic signature relationships. Sparse partial least square with discriminant analysis using multimodal magnetic resonance images was employed for all radiomic classifications. Results: The median number of CD45 + cells per one gram of HGG core tissue counted 865,770 cells which was equivalent to 8.0% of total cells including tumor cells. There was heterogeneity in the distribution of immune cell subpopulations among patients. Overall survival was significantly better in T cell-deficient group than T cell-enriched group (p = 0.019), and T8 dominant group than T4 dominant group (p = 0.023). The number of tumor-associated macrophages (TAM) and M2-TAM was significantly decreased in isocitrate dehydrogenase mutated HGG. Radiomic signature classification showed good performance in predicting immune phenotypes especially with features extracted from apparent diffusion coefficient maps. Conclusions: Absolute quantification of tumor-infiltrating immune cells confirmed the heterogeneity of immune microenvironment in HGG which harbors prognostic impact. This immune microenvironment could be predicted by radiomic signatures non-invasively. [ABSTRACT FROM AUTHOR]

Published
2021
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248. Comparison of the Diagnostic Ability of Endoscopic Ultrasonography and Abdominopelvic Computed Tomography in the Diagnosis of Gastric Subepithelial Tumors

Author

Kim, Sang Yoon, primary, Shim, Ki-Nam, additional, Lee, Joo-Ho, additional, Lim, Ji Young, additional, Kim, Tae Oh, additional, Choe, A. Reum, additional, Tae, Chung Hyun, additional, Jung, Hye-Kyung, additional, Moon, Chang Mo, additional, Kim, Seong-Eun, additional, and Jung, Sung-Ae, additional

Published
2019
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