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Technical University of Munich
Technical University of Munich

Priv. Doz. Dr. Kuangyu Shi

Research Interests

  • Translational molecular imaging computing
  • Artificial intelligence for nuclear medicine imaging & therapy
  • Digital twin and computational biology for theranostics
  • Nuclear medicine instrumentational and physical computing

Curriculum Vitae

  • 04/2018, Senior lecturer and senior scientist at Chair for Computer-aided Medical Procedures, School of Computation, Information and Technology (CIT), Technical University of Munich, Germany
  • 04/2018, Chief medical physicist & head of Lab for Artificial Intelligence & Translational Theranostics at Dept. Nuclear Medicine, Inselspital, University of Bern, Switzerland
  • 05/2018, Habilitation at Dept. Informatics, Technical University of Munich, Germany
  • 12/2011 – 03/2018, Head of subgroup for translational molecular imaging computing at Dept. Nuclear Medicine, Technical University of Munich, Germany
  • 12/2008 – 11/2011, Postdoctoral researcher at Dept. Radiation Oncology & Dept. Nuclear Medicine, Technical University of Munich, Germany
  • 02/2005 – 11/2008, Ph.D in Computer Science, Max-Planck Institute for Computer Science, Saarbrücken, Germany
  • 10/2003 – 01/2005, Master in Computer Science, International Max-Planck Research School, Saarbrücken, Germany
  • 09/1999 – 07/2003, Bachelor in Computer Science and Bachelor in Physics, Nanjing University, China

Teaching

  • WS2018- , Introduction to Artificial Intelligence in Medical Imaging for Non-Informatics Scientists, Medical Graduate Center, Technical University of Munich
  • FS2021- , Clinical Decision Support, Master Program for Artificial Intelligence in Medicine, University of Bern
  • FS2021- , Advanced Medical Imaging, Master Program for Biomedical Engineering, University of Bern

Professional activities

  • Member of Physics Committee of European Association of Nuclear Medicine (EANM)
  • Member of Task Group 36, International Commission on Radiological Protection (ICRP)
  • Associate editor of Eur J Nucl Med Mol Imaging
  • Associate editor of EJNMMI Physics
  • Section editor of Nuklear Medizin
  • Editorial board of EJNMMI Research,
  • FS2021- , Clinical Decision Support, Master Program for Artificial Intelligence in Medicine, University of Bern
  • FS2021- , Advanced Medical Imaging, Master Program for Biomedical Engineering, University of Bern

Student Projects

If you are looking for a Bachelor or Master thesis around these topics please contact me.

  • Software development for treatment planning for radiopharmaceutical therapy
  • Artificial intelligence for personalized treatment for radiopharmaceutical therapy
  • Artificial intelligence for early diagnosis of pancreatic cancer
  • Artificial intelligence for ultra-low-dose PET imaging
  • Artificial intelligence for early diagnosis of neurodegenerative diseases including Parkinson’s disease and Alzheimer’s disease
  • Brain and multi-organ connectivity
  • Imaging reconstruction and small nuclear medicine instrumentation
  • Computational modelling and mathematical oncology for precision medicine

Selected publications

  • Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler. Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR abs/2305.10569
  • Dong S, Pan Z, Fu Y, Xu D, Shi K, Yang Q, Shi Y, Zhuo C. Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation. IEEE Trans Med Imaging. 2023 Jun;42(6):1758-1773.
  • Li Y, Hu J, Sari H, Xue S, Ma R, Kandarpa S, Visvikis D, Rominger A, Liu H, Shi K. A deep neural network for parametric image reconstruction on a large axial field-of-view PET. Eur J Nucl Med Mol Imaging. 2023 Feb;50(3):701-714.
  • Fu Y, Dong S, Niu M, Xue L, Guo H, Huang Y, Xu Y, Yu T, Shi K, Yang Q, Shi Y, Zhang H, Tian M, Zhuo C. AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images. Med Image Anal. 2023 May;86:102787.
  • Wang M, Schutte M, Grimmer T, Lizarraga A, Schultz T, Hedderich DM, Diehl-Schmid J, Rominger A, Ziegler S, Navab N, Yan Z, Jiang J, Yakushev I, Shi K. Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach. Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):80-89.
  • Min Wang, Bixiao Cui, Yi Shan, Hongwei Yang, Zhuangzhi Yan, Lalith Kumar Shiyam Sundar, Ian Alberts, Axel Rominger, Thomas Wendler, Kuangyu Shi, Yan Ma, Jiehui Jiang, Jie Lu. Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease. IEEE J. Biomed. Health Informatics 26(10): 5122-5129
  • Guo R, Xue S, Hu J, Sari H, Mingels C, Zeimpekis K, Prenosil G, Wang Y, Zhang Y, Viscione M, Sznitman R, Rominger A, Li B, Shi K. Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction. Nat Commun. 2022 Oct 6;13(1):5882.
  • Xue S, Gafita A, Dong C, Zhao Y, Tetteh G, Menze BH, Ziegler S, Weber W, Afshar-Oromieh A, Rominger A, Eiber M, Shi K. Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy. Eur J Nucl Med Mol Imaging. 2022 Oct;49(12):4064-4072.
  • Wu P, Zhao Y, Wu J, Brendel M, Lu J, Ge J, Bernhardt A, Li L, Alberts I, Katzdobler S, Yakushev I, Hong J, Xu Q, Sun Y, Liu F, Levin J, Höglinger GU, Bassetti C, Guan Y, Oertel WH, Weber W, Rominger A, Wang J, Zuo C, Shi K. Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices. J Nucl Med. 2022 Nov;63(11):1741-1747.
  • Birindelli G, Drobnjakovic M, Morath V, Steiger K, D'Alessandria C, Gourni E, Afshar-Oromieh A, Weber W, Rominger A, Eiber M, Shi K. Is Hypoxia a Factor Influencing PSMA-Directed Radioligand Therapy?-An In Silico Study on the Role of Chronic Hypoxia in Prostate Cancer. Cancers (Basel). 2021 Jul 8;13(14):3429
  • Shi K, Fürst S, Sun L, Lukas M, Navab N, Förster S, Ziegler SI. Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning. Comput Med Imaging Graph. 2017 Sep;60:50-57.
  • Xiaoyin Cheng, Zhoulei Li, Zhen Liu, Navab N, Sung-Cheng Huang, Keller U, Ziegler SI, Kuangyu Shi. Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging. IEEE Trans Med Imaging. 2015 Jul;34(7):1498-1512.
  • Cheng X, Navab N, Ziegler SI, Shi K. Direct parametric image reconstruction of rapid multi-tracer PET. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):155-62.
  • Shi K, Astner ST, Sun L, Navab N, Nüsslin F, Vaupel P, Wilkens JJ. Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. Med Image Comput Comput Assist Interv. 2011;14(Pt 1):484-91.
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