Professor | Chengyan Wang | Asia Growth Partners

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Name	Chengyan Wang
Contact Information	wangcy@fudan.edu.cn
Language ability	Chinese, English
Province	Shanghai

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Name

Chengyan Wang

Contact Information

wangcy@fudan.edu.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Fudan University
Faculty	Life Sciences
Academic Background & Achievements	2012 - Bachelor's Degree in Biomedical Engineering: Beijing Institute of Technology 2017 - Ph.D. in Biomechanics and Medical Engineering: Peking University 2015-2016 - Visiting Scholar: Harvard Medical School
Work Experience	2017-2018 - Shanghai Jiao Tong University - Postdoctoral Researcher 2018-2019 - University of Illinois at Urbana-Champaign - Visiting Postdoctoral Researcher 2019-Present - Fudan University - Junior Associate Researcher

University/Lab Affiliation and Title

Fudan University

Faculty

Life Sciences

Academic Background & Achievements

2012 - Bachelor's Degree in Biomedical Engineering: Beijing Institute of Technology
2017 - Ph.D. in Biomechanics and Medical Engineering: Peking University
2015-2016 - Visiting Scholar: Harvard Medical School

Work Experience

2017-2018 - Shanghai Jiao Tong University - Postdoctoral Researcher
2018-2019 - University of Illinois at Urbana-Champaign - Visiting Postdoctoral Researcher
2019-Present - Fudan University - Junior Associate Researcher

Areas of Focus	Modeling tumor occurrence and progression using high-resolution imaging Application of ultra-high-resolution diffusion imaging in liver cancer
Publications	Correction of Out-of-FOV Motion Artifacts using Convolutional Neural Network Derived Prior Image, Wang CY, Liang YC, Wu Y, Yang D, Zhao SW, Du YP, 2020 Parallel Imaging With a Combination of SENSE and Generative Adversarial Networks (GAN), Lv J, Tong X, Wang CY, 2020 Feasibility of MRI based Oxygenation Imaging for the Assessment of Acute Limb Ischemia, Zhang B, Wang CY, Wang H, Kong H, Gao F, Wang X, Yang M, Zhang J, 2020 High-field MR Diffusion-weighted Image Denoising Using a Joint Denoising Convolutional Neural Network, Wang H, Zheng R, Dai F, Wang Q, Wang CY, 2019 A feasibility study of using noninvasive renal oxygenation imaging for the early assessment of ischemic acute kidney injury in an embolization model, Wang CY, Zhang B, Wang H, Kong H, Gao F, Wang X, Yang M, Zhang J, 2019 Black blood myocardial T2 mapping, Wang CY, Jang J, Neisius U, Nezafat M, Fahmy A, Kang J, Rodriguez J, Goddu B, Pierce P, Berg S, Zhang J, Wang XY, Nezafat R, 2019 Simultaneous Dynamic R2, R2' and R2* Measurement Using Periodic π Pulse Shifting Multiecho Asymmetric Spin Echo Sequence and Moving Estimation Strategy: A Feasibility Study for Lower Extremity Muscle, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2017 Noninvasive Measurement of Renal Oxygen Extraction Fraction Under the Influence of Respiratory Challenge, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2016 Noninvasive Measurement of Lower Extremity Muscle Oxygen Extraction Fraction under Cuff Compression Paradigm, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2016 Evaluation of Renal Oxygenation Change Under the Influence of Carbogen Breathing Using a Dynamic R2, R2' and R2* Quantification Approach, Wang CY, Zhao K, Zhang R, Jiang L, Wang R, Zhang XD, Wang H, Jin LX, Zhang J, Wang XY, Fang J, 2016

Areas of Focus

Modeling tumor occurrence and progression using high-resolution imaging
Application of ultra-high-resolution diffusion imaging in liver cancer

Publications

Correction of Out-of-FOV Motion Artifacts using Convolutional Neural Network Derived Prior Image, Wang CY, Liang YC, Wu Y, Yang D, Zhao SW, Du YP, 2020
Parallel Imaging With a Combination of SENSE and Generative Adversarial Networks (GAN), Lv J, Tong X, Wang CY, 2020
Feasibility of MRI based Oxygenation Imaging for the Assessment of Acute Limb Ischemia, Zhang B, Wang CY, Wang H, Kong H, Gao F, Wang X, Yang M, Zhang J, 2020
High-field MR Diffusion-weighted Image Denoising Using a Joint Denoising Convolutional Neural Network, Wang H, Zheng R, Dai F, Wang Q, Wang CY, 2019
A feasibility study of using noninvasive renal oxygenation imaging for the early assessment of ischemic acute kidney injury in an embolization model, Wang CY, Zhang B, Wang H, Kong H, Gao F, Wang X, Yang M, Zhang J, 2019
Black blood myocardial T2 mapping, Wang CY, Jang J, Neisius U, Nezafat M, Fahmy A, Kang J, Rodriguez J, Goddu B, Pierce P, Berg S, Zhang J, Wang XY, Nezafat R, 2019
Simultaneous Dynamic R2, R2' and R2* Measurement Using Periodic π Pulse Shifting Multiecho Asymmetric Spin Echo Sequence and Moving Estimation Strategy: A Feasibility Study for Lower Extremity Muscle, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2017
Noninvasive Measurement of Renal Oxygen Extraction Fraction Under the Influence of Respiratory Challenge, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2016
Noninvasive Measurement of Lower Extremity Muscle Oxygen Extraction Fraction under Cuff Compression Paradigm, Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J, 2016
Evaluation of Renal Oxygenation Change Under the Influence of Carbogen Breathing Using a Dynamic R2, R2' and R2* Quantification Approach, Wang CY, Zhao K, Zhang R, Jiang L, Wang R, Zhang XD, Wang H, Jin LX, Zhang J, Wang XY, Fang J, 2016

Tumor Modeling High-Resolution Imaging Tumor Progression Diffusion Imaging Liver Cancer Mri Image Reconstruction Deep Learning Radiomics Medical Imaging

Qiang Li - Huazhong University of Science and Technology

Wang Zhiwei - Huazhong University of Science and Technology

Fan Wang - Xi'an Jiaotong University

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