E-LIB Suche - Ergebnisse für: Huang, Ke-Chun

1

Machine learning can accurately predict pre-admission basel..:

Dauvin, Antonin ; Donado, Carolina ; Bachtiger, Patrik...
npj Digital Medicine. 2 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

2

Modeling and simulation of brain herniation caused by subdu..:

Huang, Ke-Chun ; Xiao, Furen ; Chiang, I-Jen...
MATEC Web of Conferences. 169 (2018) - p. 01046 , 2018

Link: https://doi.org/10.1051/..

3

Special Issue : Text Mining and Information Analysis; Re..:

, In: Proceedings of the 2nd International Conference on Medical and Health Informatics,

Liao, Chun-Chih ; Xiao, Furen ; Wong, Jau-Min... - p. 88-100 , 2018

Link: https://dl.acm.org/doi/1..

4

Transcalvarial brain herniation volume after decompressive ..:

Liao, Chun-Chih ; Tsai, Yi-Hsin ; Chen, Yi-Long...
Medical Hypotheses. 84 (2015) 3 - p. 183-188 , 2015

Link: https://doi.org/10.1016/..

5

A Simple Geometric Model for Simulating Brain Herniation Us..:

Huang, Ke-Chun ; Xiao, Furen ; Chiang, I-Jen...
AASRI Procedia. 6 (2014) - p. 95-102 , 2014

Link: https://doi.org/10.1016/..

6

PICO element detection in medical text without metadata: Ar..:

Huang, Ke-Chun ; Chiang, I-Jen ; Xiao, Furen...
Journal of Biomedical Informatics. 46 (2013) 5 - p. 940-946 , 2013

Link: https://doi.org/10.1016/..

7

Estimating postoperative skull defect volume from CT images..:

Xiao, Furen ; Chiang, I-Jen ; Hsieh, Thomas Mon-Hsian...
Clinical Neurology and Neurosurgery. 114 (2012) 3 - p. 205-210 , 2012

Link: https://doi.org/10.1016/..

8

Automatic measurement of midline shift on deformed brains u..:

Xiao, Furen ; Chiang, I-Jen ; Wong, Jau-Min...
Computers in Biology and Medicine. 41 (2011) 9 - p. 756-762 , 2011

Link: https://doi.org/10.1016/..

9

Automated assessment of midline shift in head injury patien..:

Xiao, Furen ; Liao, Chun-Chih ; Huang, Ke-Chun..
Clinical Neurology and Neurosurgery. 112 (2010) 9 - p. 785-790 , 2010

Link: https://doi.org/10.1016/..

10

Machine learning can accurately predict pre-admission basel..:

Dauvin, Antonin ; Donado, Carolina ; Bachtiger, Patrik...
Dauvin, A., Donado, C., Bachtiger, P. et al. Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. npj Digit. Med. 2, 116 (2019). https://doi.org/10.1038/s41746-019-0192-z. , 2019

Link: http://hdl.handle.net/10..

11

Machine learning can accurately predict pre-admission basel..:

Dauvin, Antonin ; Donado, Carolina ; Bachtiger, Patrik...
https://doi.org/10.1038/s41746-019-0192-z. , 2019

Link: https://hdl.handle.net/1..

12

Modeling and simulation of brain herniation caused by subdu..:

Huang Ke-Chun ; Xiao Furen ; Chiang I-Jen...
https://doi.org/10.1051/matecconf/201816901046. , 2018

Link: https://doi.org/10.1051/..

13

Two-dimensional thin-flake MoOx/ pinecone-derived carbon co..:

Li, Ke-chun ; Huang, Yong-heng ; Xu, Hai-tang...
Solid State Sciences. 153 (2024) - p. 107571 , 2024

Link: https://doi.org/10.1016/..

14

Synthesis, crystal structure, spectroscopic properties, the..:

Zhang, Zi-Han ; Li, Yu-Ting ; Zhu, Miao-Ting...
Journal of Molecular Structure. 1308 (2024) - p. 138059 , 2024

Link: https://doi.org/10.1016/..

15

Crystal structure, optical properties, Hirshfeld surface an..:

Jiang, Xin-Yi ; Zhong, Pei-Shan ; Hu, Bao-Yi...
Journal of Molecular Structure. 1311 (2024) - p. 138402 , 2024

Link: https://doi.org/10.1016/..