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Hsin-Hon Lin

Showing results (11-20 of 17) with videos related to

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Physics in Medicine and Biology|December 20, 2016
Noninvasive measurement of radiopharmaceutical time-activity data using external thermoluminescent dosimeters (TLDs)Cheng-Chang Lu, Shang-Lung Dong, Hsin-Hon Lin, et al.
Annals of Nuclear Medicine|October 19, 2013
A simple algorithm for subregional striatal uptake analysis with partial volume correction in dopaminergic PET imagingKun-Han Lue, Hsin-Hon Lin, Chih-Hao K Kao, et al.
Diagnostics (Basel, Switzerland)|December 31, 2020
Prognostic Value of Baseline Radiomic Features of <sup>18</sup>F-FDG PET in Patients with Diffuse Large B-Cell LymphomaKun-Han Lue, Yi-Feng Wu, Hsin-Hon Lin, et al.
Clinical Nuclear Medicine|July 16, 2019
Prognostic Value of Pretreatment Radiomic Features of 18F-FDG PET in Patients With Hodgkin LymphomaKun-Han Lue, Yi-Feng Wu, Shu-Hsin Liu, et al.
Academic Radiology|November 26, 2019
Intratumor Heterogeneity Assessed by <sup>18</sup>F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin LymphomaKun-Han Lue, Yi-Feng Wu, Shu-Hsin Liu, et al.
The British Journal of Radiology|May 12, 2016
Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancerMing-Che Lee, Keh-Shih Chuang, Mu-Kuan Chen, et al.
Nuclear Medicine Communications|September 20, 2023
A comparison of 18 F-FDG PET-based radiomics and deep learning in predicting regional lymph node metastasis in patients with resectable lung adenocarcinoma: a cross-scanner and temporal validation studyKun-Han Lue, Yu-Hung Chen, Sung-Chao Chu, et al.
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Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Physics in Medicine and Biology|December 20, 2016
Noninvasive measurement of radiopharmaceutical time-activity data using external thermoluminescent dosimeters (TLDs)Cheng-Chang Lu, Shang-Lung Dong, Hsin-Hon Lin, et al.
Annals of Nuclear Medicine|October 19, 2013
A simple algorithm for subregional striatal uptake analysis with partial volume correction in dopaminergic PET imagingKun-Han Lue, Hsin-Hon Lin, Chih-Hao K Kao, et al.
Diagnostics (Basel, Switzerland)|December 31, 2020
Prognostic Value of Baseline Radiomic Features of <sup>18</sup>F-FDG PET in Patients with Diffuse Large B-Cell LymphomaKun-Han Lue, Yi-Feng Wu, Hsin-Hon Lin, et al.
Clinical Nuclear Medicine|July 16, 2019
Prognostic Value of Pretreatment Radiomic Features of 18F-FDG PET in Patients With Hodgkin LymphomaKun-Han Lue, Yi-Feng Wu, Shu-Hsin Liu, et al.
Academic Radiology|November 26, 2019
Intratumor Heterogeneity Assessed by <sup>18</sup>F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin LymphomaKun-Han Lue, Yi-Feng Wu, Shu-Hsin Liu, et al.
The British Journal of Radiology|May 12, 2016
Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancerMing-Che Lee, Keh-Shih Chuang, Mu-Kuan Chen, et al.
Nuclear Medicine Communications|September 20, 2023
A comparison of 18 F-FDG PET-based radiomics and deep learning in predicting regional lymph node metastasis in patients with resectable lung adenocarcinoma: a cross-scanner and temporal validation studyKun-Han Lue, Yu-Hung Chen, Sung-Chao Chu, et al.
Pageof 2