Yipeng Sun
Yipeng Sun, M. Sc.
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
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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 Forschung, Technologie und Raumfahrt (BMFTR)
URL: https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=05D23WE1Synchrotron 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.
Publications
2025
Journal Articles
DRACO: differentiable reconstruction for arbitrary CBCT orbits
In: Physics in Medicine and Biology 70 (2025), Article No.: 075005
ISSN: 0031-9155
DOI: 10.1088/1361-6560/adbb50
BibTeX: Download
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EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction
In: Journal of Medical Imaging 12 (2025), Article No.: 014001
ISSN: 2329-4310
DOI: 10.1117/1.JMI.12.1.014001
BibTeX: Download
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Conference Contributions
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (, May 27, 2025 - May 30, 2025)
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Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model
Medical Imaging 2025: Physics of Medical Imaging (San Diego, CA, February 17, 2025 - February 21, 2025)
In: John M. Sabol, Ke Li, Shiva Abbaszadeh (ed.): Medical Imaging 2025: Physics of Medical Imaging 2025
DOI: 10.1117/12.3047414
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Learned Shift-variant CBCT Reconstruction Weights for Non-continuous Trajectories
German Conference on Medical Image Computing, 2025 (Regensburg, DEU, March 9, 2025 - March 11, 2025)
In: Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (ed.): Informatik aktuell 2025
DOI: 10.1007/978-3-658-47422-5_68
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2024
Conference Contributions
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 (Marrakesh, October 6, 2024 - October 10, 2024)
In: Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part IX, Cham: 2024
DOI: 10.1007/978-3-031-72114-4_65
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Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
The 8th International Conference on Image Formation in X-Ray Computed Tomography (Bamberg, Germany, August 5, 2024 - August 9, 2024)
DOI: 10.48550/arXiv.2404.03541
URL: https://arxiv.org/pdf/2404.03541
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Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
(2024)
DOI: 10.48550/arXiv.2401.16039
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Deep Learning Computed Tomography based on the Defrise and Clack Algorithm
(2024)
DOI: 10.48550/arXiv.2403.00426
BibTeX: Download
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Antitrust Regulation in the Era of Digital Market - A new perspective considering covert channel and artificial intelligence with technical demonstration
TilTing Perspectives 2024 (Tilburg, Netherlands, July 8, 2024 - July 10, 2024)
Open Access: https://www.tilburguniversity.edu/about/schools/law/departments/tilt/events/tilting-perspectives/2024/regulation-and-innovation-digital-markets
URL: https://www.tilburguniversity.edu/about/schools/law/departments/tilt/events/tilting-perspectives/2024/regulation-and-innovation-digital-markets
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2023
Conference Contributions
Compact Convolutional Transformers on Edge TPUs
Bildverarbeitung für die Medizin Workshop, BVM 2023
DOI: 10.1007/978-3-658-41657-7_32
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