Xiaohui Zhang

Bayer Crop Science

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Champaign

I am currently a Data Scientist at Bayer Crop Science working on generative AI. I obtained my PhD in Bioengineering at University of Illinois Urbana-Champaign in 2024.

My PhD research mainly involves developing computational methods for analyzing wide-field calcium neuroimaging data. I have also worked on image analysis and processing for biomedical imaging applications such as microscopy, endoscopy, MRI, by use of machine learning and deep learning.

I have done internships at GE HealthCare (summer 2023) and Philips Healthcare (summer 2017). I worked on applications of diffusion models in medical ultrasound imaging.

I also served as an associate editor for Medical Physics and PLOS ONE, and reviewer for IEEE Transactions on Medical Imaging, Journal of Biomedical Informatics, Physics in Medicine & Biology, Journal of Biomedical Optics, Biomedical Signal Processing & Control, Journal of Imaging, Applied Sciences and Journal of Clinical Sleep Medicine.

news

Apr 7, 2024 Our work of deep learning-based image super-resolution for end-expandable optical probe is available on JBO.
Jan 28, 2024 I started a new position as a Data Scientist at Bayer.
Jan 5, 2024 I successfully defended my PhD thesis!
Dec 13, 2023 One proceeding paper for ML4H is available online.

selected publications

  1. ML4H
    Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data
    Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, and Ravi Soni
    In Machine Learning for Health (ML4H) 2023
  2. Sci. Adv.
    3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue
    Junlong Geng, Xiaohui Zhang, Suma Prabhu, Sayyed Hamed Shahoei, Erik R Nelson, Kelly S Swanson, Mark A Anastasio, and Andrew M Smith
    Science advances 2021
    Code
  3. Cereb. Cortex
    A Multivariate Functional Connectivity Approach to Mapping Brain Networks and Imputing Neural Activity in Mice
    Lindsey M Brier, Xiaohui Zhang, Annie R Bice, Seana H Gaines, Eric C Landsness, Jin-Moo Lee, Mark A Anastasio, and Joseph P Culver
    Cerebral Cortex 2022
  4. JNM
    Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning
    Xiaohui Zhang, Eric C Landsness, Wei Chen, Hanyang Miao, Michelle Tang, Lindsey M Brier, Joseph P Culver, Jin-Moo Lee, and Mark A Anastasio
    Journal of neuroscience methods 2022
    Code
  5. ACS Nano
    Dynamic Heterochromatin States in Anisotropic Nuclei of Cells on Aligned Nanofibers
    Wenjie Liu, Abinash Padhi, Xiaohui Zhang, Jairaj Narendran, Mark A Anastasio, Amrinder S Nain, and Joseph Irudayaraj
    ACS nano 2022