All Updates

  • Oct 2024: Our team won runner-up in the 2024 MICCAI BraTs Segmentation Challenge (Paper).

  • Oct 2024: Our paper on generalized prevalence adjustment for distribution shifts, led by Minh Nguyen, was accepted and presented at ECCV 2024. (Paper).

  • Sep 2024: I was invited to give a talk at the Annual Symposium for Evolving Therapies and Drug Development in Oncology.

  • April 2024: Thrilled to announce that my NIH K25 career development grant has been awarded! I am excited to explore new opportunities and advance research in prostate cancer.

  • April 2024: Our review paper on the interpretability of machine learning model for medical imaging (MLMI), led by Alan Wang, has been published in IEEE Access (Paper).

  • 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.