Yixue Feng bio photo

Neuroscience PhD @USC

Email

My CV

Twitter

LinkedIn

Github

Google Scholar

Journal Paper

  • Evaluating MedDRA-to-ICD terminology mappings [paper]
    BMC Medical Informatics and Decision Making. (2024).
    Zhang X, Feng Y, Li F, Ding J, Tahseen D, Hinojosa E, Chen Y, & Tao C.

  • Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment [paper]
    BMC Bioinformatics. (2022).
    Feng Y, Kim M, Yao X, Liu K, Long Q, Shen L, & for the Alzheimer’s Disease Neuroimaging Initiative.


Conference Paper

  • BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data [paper] [code]
    MICCAI 2023 Computational Diffusion MRI (CDMRI) Workshop. Vancouver, Canada. (2023).
    Feng Y, Chandio BQ, Villalón-Reina, JE, Thomopoulos SI, Joshi H, Nair G, Joshi AA, Venkatasubramanian G, John JP, & Thompson PM.

  • Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting [paper]
    IEEE EMBC 2023. Sydney, Australia. (2023).
    Feng Y, Chandio BQ, Thomopoulos SI, Chattopadhyay T, & Thompson PM.

  • Learning optimal white matter tract representations from tractography using a deep generative model for population analyses [paper] [code] [:trophy: Best Virtual Paper Award]
    SIPAIM 2022. Valparaiso, Chile. (2022).
    Feng Y, Chandio BQ, Chattopadhyay T, Thomopoulos SI, Owens-Walton C, Jahanshad N, Garyfallidis E, & Thompson PM.

  • Deep Multiview Learning to Identify Population Structure with Multimodal Imaging [paper]
    IEEE BIBE 2020. Cincinnati, Ohio. (2020).
    Feng Y, Kim M, Yao X, Liu K, Long Q, & Shen L.


Preprint

  • Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer’s Disease. [paper]
    Preprint. Accepted to IEEE EMBC 2024. Orlando, Florida. (2024).
    Feng Y, Chandio BQ, Villalon-Reina JE, Benavidez S, Chattopadhyay T, Chehrzadeh S, Laltoo E, Thomopoulos SI, Joshi H, Venkatasubramanian G, John JP, Jahanshad N, & Thompson PM.

  • Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry. [paper]
    Preprint. Accepted to IEEE EMBC 2024. Orlando, Florida. (2024).
    Chandio BQ, Villalon-Reina JE, Nir TM, Thomopoulos SI, Feng Y, Benavidez S, Jahanshad N, Harezlak J, Garyfallidis E, & Thompson PM.

  • Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts. [paper]
    Preprint. Accepted to IEEE EMBC 2024. Orlando, Florida. (2024).
    Chattopadhyay T, Joshy NA, Ozarkar SS, Buwa K, Feng Y, Laltoo E, Thomopoulos SI, Villalon JE, Joshi H, Venkatasubramanian G, John JP, & Thompson PM.

  • Enabling Smartphone-based Estimation of Heart Rate. [paper] [code]
    Preprint. ArXiv. (2019).
    Homdee N, Boukhechba M, Feng Y, Kramer N, Lach J, & Barnes LE.


In Review

  • Microstructural Mapping of Neural Pathways in Alzheimer’s Disease using Macrostructure-Informed Normative Tractometry. [paper]
    Preprint, Submitted to Alzheimer’s & Dementia, Special Issue on the 20th Anniversary of ADNI. (2024).
    Feng Y, Chandio, B. Q., Villalón-Reina, J. E., Thomopoulos, S. I., Nir, T. M., Benavidez, S., Laltoo, E., Chattopadhyay, T., Joshi, H., Venkatasubramanian. G., John, J. P., Jahanshad, N., Jack, C. R., Weiner M. W., Thompson, P. M., for the Alzheimer’s Disease Neuroimaging Initiative