每年專案
個人檔案
學歷
- 2019.12 國立台灣大學醫學工程學研究所博士
- 2016.06 國立台灣大學醫學工程學研究所碩士
- 2014.06 國立陽明大學 生物醫學影像暨放射科學系
經歷
- 2020.04- 台北醫學大學神經醫學研究中心助理研究員
- 2015.06-2020.03 台北醫學大學部立雙和醫院影像醫學部醫學物理師
獎項
- 2022 Future Tech Award (未來科技獎). Technique name: Personalized 4D AI prediction of brain aging and dementia using multi-module platform (多模人工智慧個人化4D高齡健康失智預測模組)
- 2021 National Innovation Award (國家新創獎). Technique name: Deep-Lung: Multi-model AI imaging health platform for healthy aging (胸腔深度學習:人工智慧多模影像精準健康平台)
- Summa Cum Laude Award. Joint Annual Meeting of ISMRM and ESMRMB (ISMRM-ESMRMB 2018).
- The 3rd Place for Best Presentation Award. Joint Annual Meeting of ISMRM and ESMRMB (ISMRM-ESMRMB 2018).
- Outstanding Student Travel Grant. Foundation for the Advancement of Outstanding Scholarship.
- Outstanding Student Scholarship. The 105th Medical Engineering Research Scholarship.
- Student Travel Award. The 102nd Annual Meeting of Radiological Society of North America (RSNA 2016).
- Superior Paper Award. 2015 Annual Symposium on Biomedical Engineering and Technology.
其它
【專利】
- 中華民國第I768483號發明專利「用於識別腦白質高信號之方法及裝置(METHOD AND APPARATUS FOR IDENTIFYING WHITE MATTER HYPERINTENSITIES)」發明人:李宜恬、陳彥廷 專利核准日期:2022/06/21至2040/09/27
- 中華民國第I785390號發明專利「用於識別大腦組織及判定大腦年齡之方法及裝置(METHOD AND APPARATUS FOR IDENTIFYING BRAIN TISSUES AND DETERMINING BRAIN AGE)」發明人:李宜恬、陳彥廷、林敬庭 專利核准日期:2022/12/01至2040/09/27
- 中華民國第I807972號發明專利「產生預測腦影像之方法及裝置(METHODS AND DEVICES OF GENERATING PREDICTED BRAIN IMAGES)」發明人:李宜恬、陳震宇 專利核准日期:2023/07/01至2042/08/31
- 美國第17/895,036號專利申請案「產生預測腦影像之方法及裝置(METHODS AND DEVICES OF GENERATING PREDICTED BRAIN IMAGES)」發明人:李宜恬、陳震宇 專利申請日期:2022/08/25
- 中華民國第112120287號專利申請案「使用丘腦皮質相干性預測持續性腦震盪後神經精神症狀的方法和裝置(METHOD AND APPARATUS FOR PREDICTING PERSISTENT POSTCONCUSSIVE NEUROPSYCHIATRIC SYMPTOMS USING THALAMOCORTICAL COHERENCE)」發明人:李宜恬、陳震宇 專利申請日期:2023/05/31
- 美國第18/326,004號專利申請案「使用丘腦皮質相干性預測持續性腦震盪後神經精神症狀的方法和裝置(METHOD AND APPARATUS FOR PREDICTING PERSISTENT POSTCONCUSSIVE NEUROPSYCHIATRIC SYMPTOMS USING THALAMOCORTICAL COHERENCE)」發明人:李宜恬、陳震宇 專利申請日期:2023/05/31
指紋
- 1 類似的個人檔案
過去五年中的合作和熱門研究領域
-
Automatic segmentation and radiomic texture analysis for osteoporosis screening using chest low-dose computed tomography
Chen, Y-C., Li, Y-T., Kuo, P-C., Cheng, S-J., Chung, Y-H., Kuo, D-P. & Chen, C-Y., 1月 31 2023, 於: European Radiology.研究成果: 雜誌貢獻 › 文章 › 同行評審
1 引文 斯高帕斯(Scopus) -
Thalamocortical Coherence Predicts Persistent Postconcussive Symptoms
Li, Y-T., Kuo, D-P., Tseng, P., Chen, Y-C., Cheng, S-J., Wu, C. W., Hsieh, L-C., Chiang, Y-H., Chung, H-W., Lui, Y. W. & Chen, C-Y., 7月 2023, 於: Progress in Neurobiology. 226, p. 102464 102464.研究成果: 雜誌貢獻 › 文章 › 同行評審
-
Personalized Prediction of Postconcussive Working Memory Decline: A Feasibility Study
Chen, Y-C., Chen, Y-L., Kuo, D-P., Li, Y-T., Chiang, Y-H., Chang, J-J., Tseng, S-H. & Chen, C-Y., 2月 2022, 於: Journal of Personalized Medicine. 12, 2, 196.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取2 引文 斯高帕斯(Scopus) -
Detection of PD-L1 Expression in Temozolomide-Resistant Glioblastoma by Using PD-L1 Antibodies Conjugated with Lipid‑Coated Superparamagnetic Iron Oxide
Lee, G-A., Lin, W-L., Kuo, D. P., Li, Y-T., Chang, Y. W., Chen, Y-C., Huang, S-W., Hsu, J. B. K. & Chen, C-Y., 7月 2021, 於: International Journal of Nanomedicine. 16, 16, p. 5233-5246 14 p.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取4 引文 斯高帕斯(Scopus) -
Diffusion Tensor Imaging of the Spinal Cord
Cheng, S-J., Tsai, P-H., Lee, Y-T., Li, Y-T., Chung, H-W. & Chen, C-Y., 5月 2021, 於: Magnetic Resonance Imaging Clinics of North America. 29, 2, p. 195-204 10 p.研究成果: 雜誌貢獻 › 回顧型文獻 › 同行評審
4 引文 斯高帕斯(Scopus)
資料集
-
Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer’s disease
Li, Y. (Contributor), Chang, C. (Creator), Hsu, Y. (Creator), Fuh, J. (Contributor), Kuo, W. (Contributor), Yeh, J. T. (Contributor) & Lin, F. (Contributor), SAGE Journals, 2020
DOI: 10.25384/sage.c.4864269.v1, https://sage.figshare.com/collections/Impact_of_physiological_noise_in_characterizing_the_functional_MRI_default-mode_network_in_Alzheimer_s_disease/4864269/1
資料集: Dataset
-
JCB897442 Supplemental material - Supplemental material for Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer’s disease
Fuh, J. (Contributor), Lin, F. (Contributor), Hsu, Y. (Creator), Li, Y. (Contributor), Chang, C. (Creator), Kuo, W. (Contributor) & Yeh, J. T. (Contributor), SAGE Journals, 1月 1 2020
DOI: 10.25384/sage.11877243.v1, https://doi.org/10.25384%2Fsage.11877243.v1
資料集: Dataset