My CV (Updated Oct 2023)
I am a Ph.D. student at the Yale Positron Emission Tomography (PET) Center (2020~), supervised by Professor Chi Liu. I develop algorithms for nuclear image (SPECT/PET) analysis and reconstruction, mostly for cardiac imaging. My thesis committee includes Professors Chi Liu, Albert Sinusas, Richard Carson, and Xenophon Papademetris. I received my Master of Science and Master of Philosophy degrees at Yale en route to my Ph.D. in 2023. In summer 2023, I interned at Siemens Healthineers in the PET physics group with Dr. Maurizio Conti. I worked on a project related to accelerated PET reconstruction, respiratory motion correction, and Monte-Carlo simulation.
I received my Bachelor of Science degree (with Honors) in Biomedical Engineering and a minor in psychology from Rensselaer Polytechnic Institute (RPI) in May 2020. Since my second year at RPI, I worked on applying deep learning algorithms for X-ray CT image processing and reconstruction under the supervision of Professor Ge Wang in the AI-based X-ray Imaging System (AXIS) lab. I also had a chance to work on a project related to few-view breast CT with Koning Health.
Emails:
huidong.xie [AT] yale [DOT] edu
huidong.xie [AT] ieee [DOT] org
News
[May, 2024]
One paper accepted by Medical Image Analysis.
[Apr, 2024]
Six abstracts accepted at 2024 SNMMI annual meeting.
One paper accepted by IEEE TMI.
One paper accepted by Medical Image Analysis.
[Nov, 2023]
Dose-aware diffusion model for ultra low-dose PET imaging paper available online. [arXiv].
One paper accepted by IEEE TRPMS. [DOI]
[Oct, 2023]
I received IEEE TMI distinguished reviewer award.
[Aug, 2023]
I wrote an introductory tutorial for diffusion model [Link].
Three papers accepted at MICCAI 2023 workshops.
[Jul, 2023]
One paper accepted by IEEE TRPMS [DOI].
More News
Selected recent work
Dose-aware Diffusion Model for 3D Low-dose PET: Multi-institutional Validation with Reader Study and Real Low-dose Data. [preprint]
Huidong Xie 