Jueqi Wang

Ph.D. Candidate
Department of Electrical & Computer Engineering
Boston University

Email: jueqiw at bu dot edu
Links: Google Scholar
Driven by a passion for understanding and improving human health, I am broadly interested in leveraging existing sensory and biomedical data to enhance well-being, performance, and overall quality of life. I'm currently working at the intersection of imaging and genetics to better understand Autism. Specifically, I'm developing methods to address the challenge of missing modalities in multimodal data.

Publications:

  • QID^2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data MICCAI CDMRI Workshop 2024 [PDF] [Code]
    Zijian Chen*, Jueqi Wang*, Archana Venkataraman (equal contribution)
  • InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model [Early Accepted, top 14%] MICCAI 2023 [PDF] [Code]
    Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan Marinescu
  • Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis MICCAI BrainLes workshop 2022 [PDF] [Code]
    Jueqi Wang, Derek Berger, Erin Mazerolle, Othman Soufan, Jacob Levman
  • Multichannel input pixelwise regression 3D U-Nets for medical image estimation with 3 applications in brain MRI (short paper) MIDL 2021 [PDF] [Code]
    Jueqi Wang, Derek Berger, David Mattie, Jacob Levman

Community Outreach:

Reviewer:
Transactions on Medical Imaging, Medical Physics, MIDL 2025