Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ting‐En Tseng"'
Autor:
Chia‐Che Lee, Ting‐En Tseng, Ruey‐Feng Chang, Hung‐Kuan Yen, Yu‐An Chen, Yu‐Yung Chen, Chih‐Horng Wu, Ming‐Hsiao Hu, Mao‐Hsu Yen, Michiel Bongers, Olivier Q. Groot, Cheng‐Yo Lai, Wei‐Hsin Lin
Publikováno v:
Cancer Medicine, Vol 13, Iss 4, Pp n/a-n/a (2024)
Abstract Background Predictive analytics is gaining popularity as an aid to treatment planning for patients with bone metastases, whose expected survival should be considered. Decreased psoas muscle area (PMA), a morphometric indicator of suboptimal
Externí odkaz:
https://doaj.org/article/1c90a286c01f4feb9908296b542df2fc
Autor:
Hsiang‐Chieh Hsieh, Hung‐Kuan Yen, Ting‐En Tseng, Yu‐Ting Pan, Min‐Tsun Liao, Shau‐Huai Fu, Mao‐Hsu Yen, Fu‐Shan Jaw, Wei‐Hsin Lin, Ming‐Hsiao Hu, Shu‐Hua Yang, Olivier Q. Groot, Andrew J. Schoenfeld
Publikováno v:
Cancer Medicine, Vol 12, Iss 19, Pp 20059-20069 (2023)
Abstract Background Both nonoperative and operative treatments for spinal metastasis are expensive interventions. Patients' expected 3‐month survival is believed to be a key factor to determine the most suitable treatment. However, to the best of o
Externí odkaz:
https://doaj.org/article/6675514bb2c640dc8131100371da860a
Autor:
Tse‐Ying Lee, Yu‐An Chen, Olivier Q. Groot, Hung‐Kuan Yen, Bas J. J. Bindels, Robert‐Jan Pierik, Hsiang‐Chieh Hsieh, Aditya V. Karhade, Ting‐En Tseng, Yi‐Hsiang Lai, Jing‐Jen Yang, Chia‐Che Lee, Ming‐Hsiao Hu, Jorrit‐Jan Verlaan, Joseph H. Schwab, Rong‐Sen Yang, Wei‐Hsin Lin
Publikováno v:
Cancer Medicine, Vol 12, Iss 13, Pp 14264-14281 (2023)
Abstract Background Survival is an important factor to consider when clinicians make treatment decisions for patients with skeletal metastasis. Several preoperative scoring systems (PSSs) have been developed to aid in survival prediction. Although we
Externí odkaz:
https://doaj.org/article/e2f77021a8e248b5a4462ab12671f3c7
Autor:
Ting-En Tseng, Rong-Sen Yang, Ding-Cheng Chan, Chih-Hsing Wu, Chen-Yu Wang, Chih-Chien Hung, Chung-Yi Li, Shau-Huai Fu
Publikováno v:
Osteoporosis and Sarcopenia, Vol 9, Iss 4, Pp S4- (2023)
Externí odkaz:
https://doaj.org/article/f8d6e198d74a4590917452412bc195d3
Autor:
Hsiang-Chieh Hsieh, Yi-Hsiang Lai, Chia-Che Lee, Hung-Kuan Yen, Ting-En Tseng, Jiun-Jen Yang, Shin-Yiing Ling, Ming-Hsiao Hu, Chun-Han Hou, Rong-Sen Yang, Rikard Wedin, Jonathan A Forsberg, Wei-Hsin Lin
Publikováno v:
Acta Orthopaedica, Vol 93 (2022)
Background and purpose: Predicted survival may influence the treatment decision for patients with skeletal extremity metastasis, and PATHFx was designed to predict the likelihood of a patient dying in the next 24 months. However, the performance of p
Externí odkaz:
https://doaj.org/article/2a402f57e0464cffb7d5171d7b75b535
Autor:
Ting-En Tseng, 曾廷恩
101
In this thesis, we propose an indoor surveillance system which installs multiple vertical top-view depth cameras to track human shape. This new system leads to a novel framework to solve the traditional challenge of surveillance such as seve
In this thesis, we propose an indoor surveillance system which installs multiple vertical top-view depth cameras to track human shape. This new system leads to a novel framework to solve the traditional challenge of surveillance such as seve
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/37578598828120116959
Autor:
Yi-Hsiang Lai, Jorrit-Jan Verlaan, Wei-Hsin Lin, Olivier Q. Groot, Jia-Chi Ko, Jing-Jen Yang, Hung-Kuan Yen, Rong-Sen Yang, Aditya V. Karhade, Chia-Che Lee, Ting-En Tseng, Joseph H. Schwab, Chun-Han Hou, Shin-Ying Lin, Ming-Hsiao Hu, Michiel E.R. Bongers
Publikováno v:
Clin Orthop Relat Res
BACKGROUND The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory ability on inter
Publikováno v:
Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).
The purpose of this work is to develop a machine learning model to improve the GNSS position usage when applying the GNSS position as a Kalman filter measurement update in a loosely coupled GNSS/IMU system. The motivation comes from a perplexing issu
Publikováno v:
ICASSP
It has been a challenging task to identify and distinguish between images of different styles. The challenges mainly come from the extraction of high-level image semantic information, and the presence of the associated ambiguity. In this work, we pro
Publikováno v:
IROS