I have a BS in Mathematics and Applied Mathematics and a BS in Economics from CCNU.
Inspired by Dr. Jia-Bin Huang, I set aside some time every week to meet with people (preferrably students from underrepresented groups). Feel free to send me an email to schedule a meeting if you would like to chat with me on any topics.
We are at EANM 2024 the European Association of Nuclear Medicine (EANM) annual congress in Hamburg, Germany, October 19-23, 2024.
Research
I'm interested in developing generative models (especially score-based diffusion models) with applications in 2D/3D tomographic reconstruction. I mostly focus on Computed Tomography (CT), Positron Emission Tomography (PET). Some of my representative work are listed below. Please always refer latest and full list in my google scholar profile.
[6]
Yiran Sun, Hana Baroudi, et al.
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
Preprint 2024, arXiv preprint arXiv:2408.15118.
[arxiv][website][code]
[5]
Yiran Sun, Osama Mawlawi
Towards Uncertainty Estimation in PET Partial Volume Correction with a Diffusion Probabilistic Model
EANM 2024, In European Journal of Nuclear Medicine and Molecular Imaging 51 (Suppl 1), Top Rated Oral presentation.
[4]
Yiran Sun, Osama Mawlawi
Partial Volume Correction in Brain PET Imaging Using Swin Transformer
AAPM 2024, In AAPM 66th Annual Meeting & Exhibition, Blue Ribbon Poster presentation.
[3]
Yiran Sun, Osama Mawlawi
R2U-DDPM: A Conditional Diffusion Model with R2U-Net Guidance for Realistic PET Image Synthesis
SNMMI 2024, In Journal of Nuclear Medicine 65 (supplement 2), Oral presentation.
[2]
Yiran Sun, et al.
INRR3CT: CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy
MICCAI 2023 Deep Generative Models Workshop, In International Conference on Medical Image Computing and Computer-Assisted Intervention, Short Oral presentation.
[paper][arxiv][website][code]
[1]
Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek S Kamilov
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method Using Deep Denoising Priors
ICLR 2022 , In International Conference on Learning Representations, Spotlight presentation (Top 4%).
[paper][arxiv][code]
Mentorship
Ethan Wang (Summer Undergraduate Research Fellowships), Department of Computer Science, Rice University
Yining Zhang, Department of Computer Science, Rice University
Awards and Fellowships
IEEE International Conference on Computational Photography (ICCP) Student Travel Grants
Rice University John Clark Jr. Fellowship Award
Outstanding Undergraduate
Outstanding Undergraduate in Science and Innovation
National Level (China) Undergraduate Innovation and Entrepreneurship Grant
“Internet+" Undergraduate Innovation and Entrepreneurship Grant