Oct 2023: I was invited to give a talk at Asilomar Conference on Signals, Systems, and Computers.
Sep 2023: I was invited to give a talk at Annual Symposium for Evolving Therapies and Drug Development in Oncology.
Aug 2023: Our paper showing the application case of UniverSeg for prostate MRI was accepted by MICCAI MedAGI workshop (Paper).
May 2023: I was awarded Postdoctoral Researcher Seed Grant from WCM Radiology.
May 2023: Our paper discussing the role of AI in prostate MRI was accepted by European Journal of Radiology (Paper).
Feb 2023: Our paper learning to compare longitudinal image sequences was accepted by MIDL.
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.
Sep 2021: I joined Mert Sabuncu's group as a postdoctoral researcher.
June 2021 : Our paper jointly led by Mengwei Ren learning diffusion weighted images from multi-modal structural MRI was accepted and invited for an oral presentation by MICCAI (Project page)
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.
Oct 2019: I received the best oral presentation award at MICCAI CDMRI workshop in Shenzhen.
June 2019: Internship at Math & Algorithm group at Nokia Bell Lab.
Feb 2019: My paper won the best student paper in image processing at SPIE Medical Imaging in San Diego.