About
I am a postdoctoral researcher in Mert Sabuncu's lab at Cornell and Weill Cornell Medicine. I got my Ph.D. at NYU ViDA Research Center, advised by Guido Gerig. My research interest lies in discovering computational techniques and their application to biomedical images.
Recent Updates
Feb 2023: Our paper learning to compare longitudinal image sequences was accepted and invited for an oral presentation by MIDL (Paper | Code | Webpage).
Nov 2022: I was invited as a junior chair for NIPS Workshop ML4H Symposium Roundtable.
Nov 2022: Our paper was accepted showing preliminary results showing the potential application of simple deep learning models for early detection of PCa using mpMRI by Academic Radiology.
- More updates
Publications
Learning to Compare Longitudinal Images
MIDL: Medical Imaging with Deep Learning, 2023
Pulse Sequence Dependence of a Simple and Interpretable Deep Learning Method for Detection of Clinically Significant Prostate Cancer Using Multiparametric MRI
Academic Radiology, 2022
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.
[ Paper | Code | Webpage | Oral presentation |∗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 ]