Published:
MRM Accepted: Our paper “SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction” has been accepted to Magnetic Resonance in Medicine (MRM). Welcome to checkout.
About me
I am a second-year Ph.D. student in the Computational Imaging Group with the Department of ESE at Washington University in St. Louis. Before that, I received my Master’s degree in Electrical Engineering at Washington University in St. Louis. My research advisor is Prof. Ulugbek Kamilov.
Currently, my research of interests include computational imaging, inverse problem, medical imaging and large-scale optimization.
News
2024
Published:
MERL Research: Happy to share that I will join MERL as a summer research intern in 2024!
Published:
ISBI Accepted: Our paper “DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model” has been accepted to The 21st IEEE International Symposium on Biomedical Imaging (IEEE ISBI). Welcome to checkout.
Published:
ICLR Accepted: Our paper “A Restoration Network as an Implicit Prior” has been accepted to The 12th International Conference on Learning Representations (ICLR 2024). Welcome to checkout.
2022
Published:
ICIP Accepted: Our paper “Monotonically Convergent Regularization by Denoising” has been accepted to The 29th IEEE International Conference on Image Processing (IEEE ICIP). Welcome to checkout.
2021
Published:
ICCV Workshop (LCI) Accepted: Our paper “SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth” has been accepted to Computational Imaging (LCI) Workshop @ICCV. Welcome to checkout.