My CVAbout Me
I'm a third year Neuroscience PhD student advised by Dr. Paul Thompson at the Imaging Genetics Center at the University of Southern California. My research involves diffusion MRI analysis for mapping micro- and macro-structural changes of white matter tracts in neurodegenerative diseases. I'm also interested in developing and applying ML/DL methods for large-scale multi-site neuroimaging data to promote reproducibility and reliability of results.
For all inquiries, please email me at <yixuefen at usc.edu>.
For all inquiries, please email me at <yixuefen at usc.edu>.
Academic Background
- 2021 - Present：University of Southern California (PhD, Neuroscience)
- 2019 - 2021: University of Pennsylvania (MS, Computer and Information Science)
- 2015 - 2019: University of Virginia (BA Computer Science and BA Cognitive Science)
News and Updates
- 05/2024: Our work on normative tractometry has been awarded a seed grant from USC Generative Artificial Intelligence (GenAI) Research Program ($50K)!
- 05/2024: Preprint for our new method Macrostructure-Informed Normative Tractometry (MINT) is now out on biorxiv.
- 02/2024: Our work on deep normative tractometry has been accepted to EMBC 2024.
- 10/2023: Presented our new method BundleCleaner at the MICCAI CDMRI workshop in Vancouver, Canada.
New Preprint❗️
— Wendy Feng (@wendyfyx) May 1, 2024
Our new method Macrostructure-Informed Normative Tractometry (🍃MINT🍃) is a framework that jointly encodes whole-brain white matter microstructure (DTI) and macrostructure (tractography) for mapping WM abnormalities. https://t.co/C0hHS6Exab pic.twitter.com/Anv7tBhZzP