Xiao Wang

Postdoctoral Fellow

350 Longwood Avenue
Boston, MA 02115

High Performance Model-Based Image Reconstruction

Wang, Xiao, Amit Sabne, Sherman J. Kisner, Anand Raghunathan, Charles A. Bouman, and Samuel P. Midkiff. 2016. “High Performance Model-Based Image Reconstruction”. 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’16), 2:1-2:12.

ppopp2016.pdf5.42 MB

Source Code for Download

Source Code for Public Download :

https://github.com/HPImaging/sv-mbirct

Simple Demo :

https://github.com/HPImaging/mbir-demos

Last updated on 02/25/2023

Welcome!

My name is Xiao Wang (王蕭). I recently started a new job at Oak Ridge National Laboratory as research scientist in machine learning and medical imaging. My new contact email is wangx2@ornl.gov

Previously, I was a postdoc researcher at Harvard Medical School and Boston Children's Hospital. working with Professor Simon Warfield from 2017 to 2021.

I was a graduate student in Prof. Charles Bouman and Samuel Midkiff's research group at ECE department, Purdue University, and I received my PhD degree there in 2017. Before that, I got two bachelor's degrees from St. John's University, one in Mathematics and one in Computer Science.

My research interests include: High Performance Computing; Image Processing; Medical Physics; Machine Learning; and Numerical Methods.

My research direction focuses on applying the domain knowledge in the above mentioned fields to computed tomographic (CT) , Positron Emission Tomography (PET) and Magnetic Resonance (MR) reconstruction, so that the reconstruction algorithm tightly integrates with CT or PET or MR detector sensor design and data acquisition physics, making it possible to observe phenomena at a super-resolution previously difficult or impossible to measure with traditional approaches.

Contact:
email: wangx2@ornl.gov