| 公開日期 | 題名 | 作者 | 關聯 | scopus | WOS | 全文 |
| 2019 | 2015 - 2019 年服務報告 | 謝東翰 | 2015 - 2019 年服務報告, 51 | | | |
| 2023 | 2019-2023 年服務報告 | 謝東翰 | 2019-2023 年服務報告, 64 | | | |
| 2021 | 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c | Chu, Justin; Yang, Wen-Tse; Lu, Wei-Ru; Chang, Yao-Ting; Hsieh, Tung-Han ; Yang, Fu-Liang | Sensors 21(23), 7815 | | | |
| 2020 | Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy | Bitewulign Kassa Mekonnen; Webb Yang; Tung-Han Hsieh ; Shien-Kuei Liaw; Fu-Liang Yang | Biomedical Signal Processing and Control 59, 101923 | | | |
| 2015 | Appendix B: Developed Codes and Algorithms | 謝東翰 | 研究副技師升等案之研究與技術成果補充說明文件, 178(85), 19-103 | | | |
| 2015 | Appendix C: HPC Development and Maintenance | 謝東翰 | 研究副技師升等案之研究與技術成果補充說明資料, 178(24), 104-127 | | | |
| 2020 | Classification of Near-infrared Spectroscopic Glucose Concentrations Using Convolutional Neural Network | Bitewulign Kassa Mekonnen; Webb Yang; Tung-Han Hsieh ; Shien-Kuei Liaw; Fu-Liang Yang | | | | |
| 2015 | Contribution to the Center (RCAS) and Research Achievements | 謝東翰 | Contribution to the Center (RCAS) and Research Achievements, 27 | | | |
| 2022 | Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training | Wei‐Ru Lu; Wen‐Tse Yang; Justin Chu; Tung‐Han Hsieh ; Fu‐Liang Yang | Scientific Reports 12, 6506 | | | |
| 2019 | Deep Learning Approach for Red Blood Cell Segmentation from Full-Field OCT Data of Human Skin | Bitewulign K. Mekonnen; Dian-Fu Tsai; Tung-Han Hsieh ; Fu-Liang Yang ; Shien-Kuei Liaw; Sheng-Lung Huang | | | | |
| 2021 | Generation of Augmented Capillary Network Optical Coherence Tomography Image Data of Human Skin for Deep Learning and Capillary Segmentation | Mekonnen, Bitewulign Kassa; Hsieh, Tung-Han ; Tsai, Dian-Fu; Liaw, Shien-Kuei; Yang, Fu-Liang; Huang, Sheng-Lung | Diagnostics 11(4), 685 | | | |
| 2022 | Machine-learning assisted antibiotic detection and categorization using a bacterial sensor array | Huang, Wei-Che; Wei, Chin-Dian; Belkin, Shimshon; Hsieh, Tung-Han ; Cheng, Ji-Yen | Sensors and Actuators B: Chemical 355, 131257 | | | |
| 2021 | One-Minute Finger Pulsation Measurement for Diabetes Rapid Screening with 1.3% to 13% False-Negative Prediction Rate | Justin Chu; Wen-Tse Yang; Tung-Han Hsieh ; Fu-Liang Yang | Biomedical Statistics and Informatics 6(1), 6-13 | | | |
| 2017 | PPG 與 ECG 訊號特徵分析程式實作說明 | 曾柏凱; 謝東翰 | PPG 與 ECG 訊號特徵分析程式實作說明, 41 | | | |
| 2024 | Rapid time-lapse 3D oxygen tension measurements within hydrogels using widefield frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM) and image segmentation | Dao-Ming Chang; Heng-Hua Hsu; Ping-Liang Ko; Wei-Jen Chang; Tung-Han Hsieh ; Hsiao-Mei Wu; Yi-Chung Tung | Analyst 149(6), 1727-1737 | | | |
| 2019 | Simultaneous assessment of cell morphology and adhesion using aluminum nanoslit-based plasmonic biosensing chips | Hsien-San Hou; Kuang-Li Lee; Chen-Hung Wang; Tung-Han Hsieh ; Juan-Jie Sun; Pei-Kuen Wei ; Ji-Yen Cheng | Scientific Reports 9, 7204 | | | |
| 2017 | SPR 訊號分析程式實作說明 | 曾柏凱; 謝東翰 | SPR 訊號分析程式實作說明, 15 | | | |
| 2019 | Widefield frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) for accurate measurement of oxygen gradients within microfluidic devices | H.-M. Wu; T.-A. Lee; P.-L. Ko; W.-H. Liao; T.-H. Hsieh ; Y.-C. Tung | Analyst 144(11), 3494-3504 | | | |
| 2019 | 以深度學習網路達成 OCT 表皮組織影像快速細胞核標定 | 蔡典甫; Bitewulign K. Mekonnen; 曾柏凱; 謝東翰 ; 楊富量 | 以深度學習網路達成 OCT 表皮組織影像快速細胞核標定, 11 | | | |
| 2018 | 巨量生醫影像分析儲存伺服器建置與管理 | 曾柏凱; 黃勃捷; 謝東翰 | 巨量生醫影像分析儲存伺服器建置與管理, 36 | | | |
