About
My research focuses on the development of computational methods for medical image processing and analysis. I recently got my Ph.D. at NYU Visualization and Data Analytics Research Center, advised by Guido Gerig. I will join Mert Sabuncu’s group at Cornell Tech as a postdoctoral researcher and work on machine learning projects related to prostate cancer imaging.
Recent Updates
June 2021 : Our paper jointly led by Mengwei Ren learning diffusion weighted images from multi-modal structural MRI was accepted by MICCAI 2021.
May 2021: I got my Ph.D. :)
May 2021: Our study of biochemical sensing using microparticle with OCT image and deep learning participated during my internship at Nokia Bell Lab is out in ACS NANO.
Feb 2021: Our paper led by Axel Elaldi and Neel Dey learning equivariant sparse spherical deconvolution for diffusion MRI images was accepted by IPMI 2021.
Oct 2020: I received National Institutes of Health (NIH) travel awards at MICCAI 2020.
Publications
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
MICCAI: Medical Image Computing and Computer Assisted Intervention, 2021.
[ Preprint (to be appear) | Code | ∗Equal contribution ]
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
IPMI: Information Processing in Medical Imaging, 2021.
Microparticle-based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning
ACS Nano, 2021.
[ Paper ]
Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis
MICCAI: Medical Image Computing and Computer Assisted Intervention, 2020.
[ Paper ]
A framework to construct a longitudinal dw-mri infant atlas based on mixed effects modeling of dodf coefficients
MICCAI CDMRI: Computational Diffusion MRI, 2020.
[ Paper | Oral presentation | Best oral presentation award ]
Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization
SPIE Medical Imaging, 2019.
[ Paper | Oral presentation | Best paper finalist ]
Using individualized brain network for analyzing structural covariance of the cerebral cortex in alzheimer's patients
Frontiers in neuroscience, 2016.
[ Paper ]
Tract-specific correlates of neuropsychological deficits in patients with subcortical vascular cognitive impairment
Journal of Alzheimer's Disease, 2016.
[ Paper ]