About Me

Welcome to my website! I am an Assistant Professor at Harvard Medical School, working in the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital. My research focuses on medical image acquisition and reconstruction, image analysis and processing, and physiological modeling on magnetic resonance (MR), molecular, and optical imaging. My recent interest also includes developing artificial intelligence methods to improve imaging speed and robustness and automate clinical imaging workflow.

More about MyLab@Harvard

Before joining Harvard in 2020, I was an Assistant Scientist in Radiology at the University of Wisconsin-Madison from 2015 to 2019, working on translational imaging projects spanning several clinical topics. In 2015, I received my Ph.D. in Medical Physics at the University of Wisconsin-Madison. My research focused on developing new MR pulse sequences and optimizing imaging biomarkers for improved musculoskeletal and neural tissue assessment. In 2011, I received my M.Sc. in Medical Biophysics from Western University, Canada, where my research focused on improving breast MR imaging using machine learning. In 2008, I received my B.Sc. in Biomedical Engineering at Sun Yat-sen University, China.

My specific research interests:

  • Artificial intelligence for medical imaging
  • Rapid MR acquisition and reconstruction, quantitative MR imaging
  • Molecular imaging and nuclear medicine
  • Medical image analysis and bioinformatics
  • High-performance computing, parallel computing, cloud computing

My lab@Harvard is recruiting talents!

(i) Artificial Intelligence for Medical Imaging

  • Develop artificial intelligence/machine learning techniques to design, optimize and accelerate image acquisition and reconstruction of quantitative, multi-parametric, and dynamic MRI.

(ii) MR Pulse Sequence Development

  • Develop and optimize novel MRI pulse sequences and acquisition methods for rapid and robust imaging of tissue microstructure, composition, and function.

(iii) Image Analysis and Processing

  • Develop intelligent methods and software solutions for medical signal and image data analysis and processing in translational imaging research.

Send inquiry to fliu12@mgh.harvard.edu

New Updates

  • MRiLab Presentation in the 27th ISMRM Annual Meeting
    In HowTo, Image Reconstruction, Imaging, MRI
    In the 27th ISMRM annual meeting, MRiLab is presented at the Open-Source Software Tools for MR Pulse Design, Simulation & Reconstruction Weekend Course. MRiLab is a rapid and versatile […]
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  • SANTIS: Novel Machine Learning Method Accelerates MRI
    In Artificial Intelligence, Image Reconstruction, Imaging, MRI
    Over the past few years, machine learning has demonstrated the ability to provide improved image quality for reconstructing undersampled MRI data, providing new opportunities to improve the […]
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  • Deep Learning Empowers Lung MR Imaging for Pulmonary Function Quantification
    In Artificial Intelligence, Imaging, MRI
    Dr. Wei Zha, an imaging scientist in the Pulmonary and Metabolic Imaging Center led by Dr. Sean Fain at UW-Madison, has invented a deep learning approach to provide fast, reproducible, and robust […]
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