Yipeng Sun

Yipeng Sun, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 10.137
Martensstr. 3
91058 Erlangen

Academic CV

  • Since 07/2023:
    Ph.D. Student at Pattern Recognition Lab, FAU Erlangen-Nürnberg
  • 10/2020 – 06/2023:
    M.Sc. Medical Engineering, FAU Erlangen-Nürnberg
  • 09/2015 – 07/2019:
    B.Eng. Measurement & Control Technology & Instrument, Nanjing University of Science and Technology

Projects

2023

  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users

    (Third Party Funds Group – Overall project)

    Term: March 1, 2023 - February 28, 2026
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)
    URL: https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=05D23WE1
    Abstract

    Synchrotron tomography is characterized by extremely brilliant X-rays, which enables almost artifact-free imaging. Furthermore, very high resolution can be achieved by using special X-ray optics, and the special design of synchrotron facilities also allows fast in-situ experiments, i.e. 4D tomography.  The combination of these features enables high-resolution computed tomography on objects where conventional laboratory CT fails. At the same time, however, this also produces enormous amounts of data that are generally unprocessable by end users, pushing even the operators of synchrotrons to their limits.

    The goal of the KI4D4E project is to develop AI-based methods that can be used by end users to process the enormous amounts of data in such 4D CT measurements. This includes improving image quality through artifact reduction, reduction and accessibility of data to end users to help the latter interpret the results.

    The project focuses on the topics of artifact reduction, segmentation and visualization of large 4D data sets. The resulting methods should be applicable to data from both photon and neutron sources.

Student Supervision

Type Title Status
MA thesis Universal Image Artifact Reduction via Heterogeneous Mixture of Experts running
Project 3D CT Image Visualization using Blender running
Project Artifacts Simulation in CT Images finished
Project Diffusion Model-Enabled Energy Level Transformation in Photon Counting Computed Tomography (PCCT) running
Project A Comparative Analysis of Loss Functions in Deep Learning-Based Inverse Problems finished
MA thesis Deep Learning Computed Tomography based on the Defrise and Clack Algorithm for Specific CBCT Orbits finished
Project Investigating the Possibilities of CT Reconstruction using Fourier Neural Operator finished