Ruandan

 

Homepage of Dan Ruan(English, 中文)

Ph.D. Student
 
Department of National Institute for Data Science in Health and Medicine,School of Medicine, Xiamen University.
 
Email: rd2950@163.com
 
Computational Sensing Group at Xiamen University.
 
 
 



Biosketch Research interests Education Research and Teaching Experiences Selected Awards Professional Skills Recent Publications Patents

Biosketch

Dan Ruan is a Ph.D. student of Department of National Institute for Data Science in Health and Medicine at Xiamen University in China.

Research Interests
d Artificial Intelligence & Radiomics d Medical Image Analysis and Clinical Applications
Education
d Ph.D. Student (Sept. 2023-xx) 
Advisor: Xiaobo Qu
Department of Electronic Science, Xiamen University, China
d M.S. Student (Sept. 2017-June 2020) 
Advisor: Long Sun
Department of Imaging Medicine and Nuclear Medicine, Xiamen University, China
d

B.S. (Sept. 2012-June 2017)
Medical Imaging, Three Gorges University, China

Research and Teaching Experiences
Selected Wards
d

2018, Master's National Scholarship.

d

2018, Xiamen University “The Merit Student”.

d

2020, Xiamen University Outstanding Graduate.

Professional Skills
Mastery of specialty: Clinical Residency (Imaging physician)
Mastered programming languages: R Language
Recent Publications (# denotes co-first authorship)
• Ruan D, Sun L. Amyloid-β PET in Alzheimer's disease: a systematic review and Bayesian meta-analysis, Brain and Behavior, 13(1):e2850, 2023. (JCR Q2,IF 3.41)
• Ruan D, Sun L. Diagnostic performance of PET/MRI in breast cancer: a systematic review and Bayesian bivariate meta-analysis, Clinical Breast Cancer, 23 (2):108-124, 2023. (JCR Q3,IF 3.08)
• Ruan D, Sun L. Diagnostic efficacy of bone scintigraphy in transthyretin cardiac amyloidosis: an updated systematic review and Bayesian bivariate meta-analysis, Clinical and translational imaging, 10, 85-98, 2022, https://doi.org/10.1007/s40336-021-00471-8. (JCR Q3,IF 2.51)
• Ruan D, Fang J, Teng X. Efficient 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer, The quarterly journal of nuclear medicine and molecular imaging, doi: 10.23736/S1824-4785.22.03441-0, 2022. (JCR Q4,IF 1.56)
• Ruan D, Sun L. 68Ga-DOTATATE and 68Ga-PSMA Uptake in Granulomatous Prostatitis, Clinical nuclear medicine, 47(4):359-361, 2022. (JCR Q1,IF 10.78)
• Chen H#, Zhao L#, Ruan D#, Pang Y, Hao B, Dai Y, Wu X, Guo W, Fan C, Wu J, Huang W, Lin Q, Sun L, Wu H. Usefulness of [68Ga]Ga-DOTA-FAPI-04 PET/CT in patients presenting with inconclusive [18F]FDG PET/CT findings, European journal of nuclear medicine and molecular, 48(1):73-86, 2021. (JCR Q1,IF 10.06)
• Ruan D, Sun L. Case Report: Pleuropulmonary Blastoma in a 2.5-Year-Old Boy: 18F-FDG PET/CT Findings, Frontiers in Nuclear Medicine, doi: 10.3389/fnume.2021.780485, 2021.
• Ruan D, Wang Y, Fang J, Teng X, Li B. FDG-avid antrum-pylorus ulcer, adjacent lymph node, and abdominal wall nodule mimicking gastric cancer with metastases, Radiology Case Reports, 17(5):1396-1401, 2022.