Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Saeed Seyyedi, Ph.D., M.S.

Image of Saeed Seyyedi Saeed Seyyedi, Ph.D., M.S.

Phone: +49 89 289 10883
Address: Technische Universität München
IMETUM Zentralinstitut für Medizintechnik
Boltzmannstr. 11
85748 Garching b. München
Room: 1.110


  • Medical Image Processing and Data Analysis Techniques
  • Machine Learning/Deep Learning
  • Medical Imaging
  • Tomographic Reconstruction Methods
  • Computer Vision


  • Ph.D. in Computer Science, Medical Imaging and Informatics, Technical University of Munich, Munich, Germany
  • M.Sc. in Biomedical Engineering, Istanbul Technical University, Istanbul, Turkey
  • B.Sc. in Computer Engineering, Urmia University, Iran


  • 09/2012 - 05/2013:
    Istanbul Technical University - Istanbul, Turkey
    Teaching Assistant at the Department of Electrical and Electronics Engineering.


S. Seyyedi, E. Liapi, T. Lasser, R. Ivkov, R. Hatwar, J. W. Stayman
Low-Dose CT Perfusion of the Liver Using Reconstruction of Difference
IEEE Transactions on Radiation and Plasma Medical Sciences 2(3):205-214, 2018 (bib)
S. Seyyedi, M. Wieczorek, F. Pfeiffer, T. Lasser
Incorporating a Noise Reduction Technique into X-ray Tensor Tomography
IEEE Transactions on Computational Imaging 4(1):137-146, 2018 (bib)
S. Seyyedi, E. Liapi, T. Lasser, R. Ivkov, R. Hatwar, J. W. Stayman
Evaluation of Low-Dose CT Perfusion for the Liver using Reconstruction of Difference
International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Xi'an Shaanxi, China, June 2017 (bib)
Y. Sharma, M. Wieczorek, F. Schaff, S. Seyyedi, F. Prade, F. Pfeiffer, T. Lasser
Six dimensional X-ray Tensor Tomography with a compact laboratory setup
Appl. Phys. Lett. 109, 134102 (2016); (bib)
S. Seyyedi, M. Wieczorek, C. Jud, F. Pfeiffer, T. Lasser
A Regularized X-ray Tensor Tomography Reconstruction Technique
International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, July 2016 (bib)
S. Seyyedi, M. Wieczorek, Y. Sharma, F. Schaff, C. Jud, F. Pfeiffer, T. Lasser
Component-based TV Regularization for X-ray Tensor Tomography
International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, April 2016 (bib)

Other Publications

  • S. Seyyedi, K. Cengiz, M. Kamasak, and I. Yildirim., “An Object-Oriented Simulator for 3D Digital Breast Tomosynthesis Imaging System”, Comp. and Math. Meth. in Med., Volume 2013 (2013), Article ID 250689.

  • S. Seyyedi and I. Yildirim, "3D digital breast tomosynthesis image reconstruction using anisotropic total variation minimization", 36th Annual International Conference of Engineering in Medicine and Biology Society, EMBC 2014, Chicago, IL, USA, August 26-30, 2014.

  • S. Seyyedi, I. Yildirim and M. Kamasak, "Evaluating the Effect of Acquisition Parameters in Digital Breast Tomosynthesis System with Iterative Reconstruction Methods on Image Quality", IEEE International Conference on e-Health and Bioengineering, EHB 2013, Iasi, Romania, November 21-23, 2013.

  • M. Ertas, A. Akan, K. Cengiz, M. Kamasak, S. Seyyedi and I. Yildirim, "3-D Tomosynthesis Image Reconstruction Using Total Variation", International Conference on BioMedical? Computing (BioMedCom? 2012), Washington DC, US, December 14-16, 2012.

  • S. Seyyedi, K. Cengiz, M. Kamasak, I. Yildirim, "An Object-Oriented Simulator for 3-D Digital Breast Tomosynthesis System", 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), Trieste, Italy, September 4-6, 2013.

  • R. Chanpa, J. Bagherzadeh, S. Seyyedi, "An Instrumental Network Routing Algorithm for Wireless Networks Base on the Reinforcement-Learning Algorithms and Network Traffic", IEEE , ELECO2010, Bursa, Turkey, December 2-5, 2010.

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    Title: M.Sc.
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    Firstname: Saeed
    Lastname: Seyyedi
    Nationality: Cosmopolitan
    Languages: English, German, Persian, Turkish
    Position: Scientific Staff
    Status: Active
    Emailbefore: s.seyyedi
    Room: IMETUM
    Telephone: +49 89 289 10883

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