David Carroll Chen

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Emailshh10443tmu.edutw, 10443s.tmu.edutw

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Education

2016- Ph.D. Candidate, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University
2002-2009 M.D., School of Medicine , National Taiwan University

Experience

Attending Physician, Department of Medical Imaging, Taipei Medical University-Shuang Ho Hospital, Ministry of Health and Welfare
2021.02- Assistant Professor, Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University
2020.02- Adjunct Deputy Director, TMU Research Center for Artificial Intelligence in Medicine, Taipei Medical University
2018.09-2020.01 Visiting Scholar, Division of Neuroradiology, Stanford University, USA
2016.04-2021.01 Instructor, Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University
2010.08-2014.11 Resident Physician, Department of Medical Imaging, Taipei Medical University-Shuang Ho Hospital, Ministry of Health and Welfare
2009.07-2010.07 Resident Physician, Department of Medicine, E-Da Hospital "(臺大醫院代訓)"

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1 Similar Profiles

1 Active
4 Finished

Building an Ai Imaging Platform to Improve Infarction Core Estimation for Acute Ischemic Stroke on Brain Ct
Chen, D. C.
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
利用神經影像組學和機器學習技術實現個人化意識障礙患者的精準診斷和預後評估
Chen, D. C.
1/1/22 → 12/31/22
Project: B - Project of TMU › h - Higher Education Sprout Project
Using Deep Learning to Improve Cerebrovascular Reserve Measurement from Baseline Mri
Chen, D. C. & Li, Y.
8/1/21 → 7/31/22
Project: A - Government Institution › b - Ministry of Science and Technology
以深度學習技術增進從靜息態磁振造影評估腦血管反應性
Chen, D. C.
8/1/21 → 7/31/22
Project: A - Government Institution › b - Ministry of Science and Technology
Functional Mri Evaluation of the Cognitive Outcome in the Patients Receiving Carotid Artery Stenting
Chen, D. C.
8/1/17 → 7/31/18
Project: A - Government Institution › b - Ministry of Science and Technology

27 Article
1 Review article

Identification of Resting-State Network Functional Connectivity and Brain Structural Signatures in Fibromyalgia Using a Machine Learning Approach
Thanh Nhu, N., Chen, D. Y. T. & Kang, J. H., Dec 2022, In: Biomedicines. 10, 12, 3002.
Research output: Contribution to journal › Article › peer-review

Open Access
Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques^*
Zhao, M. Y., Woodward, A., Fan, A. P., Chen, K. T., Yu, Y., Chen, D. Y., Moseley, M. E. & Zaharchuk, G., May 2022, In: Journal of Cerebral Blood Flow and Metabolism. 42, 5, p. 700-717 18 p.
Research output: Contribution to journal › Review article › peer-review
6 Citations (Scopus)
Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI
Zhao, M. Y., Fan, A. P., Chen, D. Y. T., Ishii, Y., Khalighi, M. M., Moseley, M., Steinberg, G. K. & Zaharchuk, G., Aug 2022, In: Journal of Cerebral Blood Flow and Metabolism. 42, 8, p. 1493-1506 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Citations (Scopus)
Cerebrovascular reactivity measurements using simultaneous ¹⁵O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit
Zhao, M. Y., Fan, A. P., Chen, D. Y. T., Sokolska, M. J., Guo, J., Ishii, Y., Shin, D. D., Khalighi, M. M., Holley, D., Halbert, K., Otte, A., Williams, B., Rostami, T., Park, J. H., Shen, B. & Zaharchuk, G., Jun 2021, In: NeuroImage. 233, 117955.
Research output: Contribution to journal › Article › peer-review

Open Access
12 Citations (Scopus)
Black Dipole or White Dipole: Using Susceptibility Phase Imaging to Differentiate Cerebral Microbleeds from Intracranial Calcifications
Weng, C. L., Jeng, Y., Li, Y. T., Chen, C. J. & Chen, D. Y. T., Aug 1 2020, In: American Journal of Neuroradiology. 41, 8, p. 1405-1413 9 p.
Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus)

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques*
Zhao, M. Y. (Creator), Woodward, A. (Creator), Fan, A. P. (Creator), Chen, K. T. (Creator), Yu, Y. (Creator), Chen, D. C. (Creator), Moseley, M. E. (Creator) & Zaharchuk, G. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.5967331.v1, https://sage.figshare.com/collections/Reproducibility_of_cerebrovascular_reactivity_measurements_A_systematic_review_of_neuroimaging_techniques_sup_sup_/5967331/1
Dataset
Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI
Zhao, M. Y. (Creator), Fan, A. P. (Creator), Chen, D. C. (Creator), Ishii, Y. (Creator), Khalighi, M. M. (Creator), Moseley, M. (Creator), Steinberg, G. K. (Creator) & Zaharchuk, G. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.5875971.v1, https://sage.figshare.com/collections/Using_arterial_spin_labeling_to_measure_cerebrovascular_reactivity_in_Moyamoya_disease_Insights_from_simultaneous_PET_MRI/5875971/1
Dataset
sj-pdf-1-jcb-10.1177_0271678X221083471 - Supplemental material for Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI
Zhao, M. Y. (Creator), Fan, A. P. (Creator), Chen, D. C. (Creator), Ishii, Y. (Creator), Khalighi, M. M. (Creator), Moseley, M. (Creator), Steinberg, G. K. (Creator) & Zaharchuk, G. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.19307796.v1, https://sage.figshare.com/articles/journal_contribution/sj-pdf-1-jcb-10_1177_0271678X221083471_-_Supplemental_material_for_Using_arterial_spin_labeling_to_measure_cerebrovascular_reactivity_in_Moyamoya_disease_Insights_from_simultaneous_PET_MRI/19307796/1
Dataset
sj-pdf-1-jcb-10.1177_0271678X211056702 - Supplemental material for Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques<sup>*</sup>
Zhao, M. Y. (Creator), Woodward, A. (Creator), Fan, A. P. (Creator), Chen, K. T. (Creator), Yu, Y. (Creator), Chen, D. C. (Creator), Moseley, M. E. (Creator) & Zaharchuk, G. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.19665391.v1, https://sage.figshare.com/articles/journal_contribution/sj-pdf-1-jcb-10_1177_0271678X211056702_-_Supplemental_material_for_Reproducibility_of_cerebrovascular_reactivity_measurements_A_systematic_review_of_neuroimaging_techniques_sup_sup_/19665391/1
Dataset

David Carroll Chen

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Education

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Dive into details

Building an Ai Imaging Platform to Improve Infarction Core Estimation for Acute Ischemic Stroke on Brain Ct

利用神經影像組學和機器學習技術實現個人化意識障礙患者的精準診斷和預後評估

Using Deep Learning to Improve Cerebrovascular Reserve Measurement from Baseline Mri

以深度學習技術增進從靜息態磁振造影評估腦血管反應性

Functional Mri Evaluation of the Cognitive Outcome in the Patients Receiving Carotid Artery Stenting

Identification of Resting-State Network Functional Connectivity and Brain Structural Signatures in Fibromyalgia Using a Machine Learning Approach

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques^*

Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI

Cerebrovascular reactivity measurements using simultaneous ¹⁵O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit

Black Dipole or White Dipole: Using Susceptibility Phase Imaging to Differentiate Cerebral Microbleeds from Intracranial Calcifications

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques*

Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI

sj-pdf-1-jcb-10.1177_0271678X221083471 - Supplemental material for Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI

sj-pdf-1-jcb-10.1177_0271678X211056702 - Supplemental material for Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques<sup>*</sup>

David Carroll Chen

Personal profile

Education

Experience

Fingerprint

Network

Projects

Research output

Datasets