Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Fan-Ya Lin"'
Publikováno v:
American Music Teacher. Aug/Sep2011, Vol. 61 Issue 1, p4-8. 3p. 2 Color Photographs.
Publikováno v:
In Chemical Engineering Journal 15 March 2020 384
Akademický článek
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Autor:
Fan-Ya Lin, Ya-Jing Li, Chi-En Lee, Kuo-Lung Lor, Hao-Jen Wang, Yeun-Chung Chang, Chung-Ming Chen
Longitudinal image registration of pulmonary computed tomography (PCT) images may serve as an essential tool for investigating the relationship between radiation dose distribution and the occurrence and phenotype of radiation-induced lung disease (RI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7662ec599a934ca20ec382fc1188abd
https://doi.org/10.20944/preprints202212.0356.v1
https://doi.org/10.20944/preprints202212.0356.v1
The automated marker-free longitudinal Infrared (IR) breast image registration overcomes several challenges like no anatomic fiducial markers on the body surface, blurry boundaries, heat pattern variation by environmental and physiological factors, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490ea8ee901d4150e823e98ddaa0a80d
https://doi.org/10.21203/rs.3.rs-1863396/v1
https://doi.org/10.21203/rs.3.rs-1863396/v1
Autor:
Fan-Ya Lin, Ming-Jui Chung, Kuo-Lung Lor, Chong-Jen Yu, Yeun-Chung Chang, Chung-Ming Chen, Cheng-Pei Liu, Cheng-Yi Wang
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Scientific Reports
Scientific Reports
Target lung tissue selection remains a challenging task to perform for treating severe emphysema with lung volume reduction (LVR). In order to target the treatment candidate, the percentage of low attenuation volume (LAV%) representing the proportion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c94f14eae448a70de23506bf7c34522
http://link.springer.com/article/10.1038/s41598-019-56351-9
http://link.springer.com/article/10.1038/s41598-019-56351-9
Publikováno v:
European radiology. 32(6)
To propose and evaluate a set of radiomic features, called morphological dynamics features, for pulmonary nodule detection, which were rooted in the dynamic patterns of morphological variation and needless precise lesion segmentation.Two datasets wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f601dcd160d2e928cca3a4b573f6ad2
https://pubmed.ncbi.nlm.nih.gov/35020016
https://pubmed.ncbi.nlm.nih.gov/35020016
Autor:
Chiun-Sheng Huang, Hao-Jen Wang, Chung-Ming Chen, Fan-Ya Lin, Ming-Jui Chung, Jhih-Hao Lai, Yeun-Chung Chang, Chi-En Lee, Chia Yen Lee
Publikováno v:
Journal of Medical Imaging and Health Informatics. 8:516-525
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f6c4971ec912e9671d3f9dc2628582
https://doi.org/10.1166/jmihi.2018.2314
https://doi.org/10.1166/jmihi.2018.2314
Akademický článek
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Publikováno v:
Crystal Growth & Design; June 2020, Vol. 20 Issue: 6 p3605-3610, 6p