Projects per year
Personal profile
Education
- 2019.12 Ph.D., Institute of Biomedical Engineering, National Taiwan University, Taiwan
- 2016.09 Master of Science and Engineering, Institute of Biomedical Engineering, National Taiwan University, Taiwan
- 2014.09 Bachelor of Science, Department of Biomedical Imaging and Radiological Science, National Yang-Ming University, Taiwan
Experience
- 2024.01- Associate Research Fellow, Neuroscience Research Center, Taipei Medical University
- 2020.04-2023.12 Assistant Research Fellow, Neuroscience Research Center, Taipei Medical University
- 2015.06-2020.03 Medical Physicist, Department of Medical Imaging, Taipei Medical University – Shuang Ho Hospital, Taiwan
Awards
- 2023 National Innovation Award (國家新創獎). 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)
- 2023 National Innovation Award (國家新創精進獎). 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)
- 2023 National Innovation Award (國家新創獎). 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
Other
【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
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
利用新穎磁振影像生物標記及量子機器學習探討膠淋巴系統對於腦震盪持久後遺症的影響機制
Li, Y.-T. (PI)
8/1/24 → 7/31/25
Project: A - Government Institution › b - National Science and Technology Council
-
輕度腦外傷後白質損傷及修復: 新穎磁振定量影像和基因生物標記研究(3/3)
Li, Y.-T. (PI)
8/1/23 → 7/31/24
Project: A - Government Institution › b - National Science and Technology Council
-
針對老年人群的個人化康復的放射組學聊天機器人輔助決策系統:認知功能維護的AI解決方案
Li, Y.-T. (PI)
1/1/23 → 12/31/23
Project: B - Project of TMU › h - Higher Education Sprout Project
-
White Matter Myelin Changes in Mild Traumatic Brain Injury : Novel Quantitative Imaging and Genetic Biomarker Research (2/3)
Li, Y.-T. (PI)
8/1/22 → 7/31/23
Project: A - Government Institution › b - National Science and Technology Council
-
White Matter Myelin Changes in Mild Traumatic Brain Injury : Novel Quantitative Imaging and Genetic Biomarker Research
Li, Y.-T. (PI)
8/1/21 → 7/31/24
Project: A - Government Institution › b - National Science and Technology Council
-
Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework
Kuo, D. P., Chen, Y. C., Li, Y. T., Cheng, S. J., Hsieh, K. L. C., Kuo, P. C., Ou, C. Y. & Chen, C. Y., Dec 2024, In: European radiology experimental. 8, 1, 59.Research output: Contribution to journal › Article › peer-review
Open Access -
Functional magnetic resonance imaging signal has sub-second temporal accuracy
Li, Y. T., Lee, H. J. & Lin, F. H., 2024, In: Journal of Cerebral Blood Flow and Metabolism. 44, 9, p. 1643-1654 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Ischemia-reperfusion injury in a salvaged penumbra: Longitudinal high-tesla perfusion magnetic resonance imaging in a rat model
Kuo, D.-P., Chen, Y.-C., Cheng, S.-J., Hsieh, K.L.-C., Ou, C.-Y., Li, Y.-T. & Chen, C.-Y., Jun 21 2024, (E-pub ahead of print) In: Magnetic Resonance Imaging.Research output: Contribution to journal › Article › peer-review
-
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., Jan 31 2023, In: European Radiology.Research output: Contribution to journal › Article › peer-review
19 Citations (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., Jul 2023, In: Progress in Neurobiology. 226, p. 102464 102464.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Datasets
-
Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer’s disease
Li, Y.-T. (Contributor), Chang, C.-Y. (Creator), Hsu, Y.-C. (Creator), Fuh, J.-L. (Contributor), Kuo, W.-J. (Contributor), Yeh, J.-N. T. (Contributor) & Lin, F.-H. (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
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.-L. (Contributor), Lin, F.-H. (Contributor), Hsu, Y.-C. (Creator), Li, Y.-T. (Contributor), Chang, C.-Y. (Creator), Kuo, W.-J. (Contributor) & Yeh, J.-N. T. (Contributor), SAGE Journals, Jan 1 2020
DOI: 10.25384/sage.11877243.v1, https://doi.org/10.25384%2Fsage.11877243.v1
Dataset