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Personal profile


Advanced signal processing systems can facilitate more people benefit from more effective and genuine healthcare, by assisting in intensive and highly delicate clinical decisions and procedures.

Academic background

Arash Pourtaherian received his BSc. degree in Electrical Engineering jointly from Indiana University-Purdue University Indianapolis, IN, USA and University of Tehran, Iran in 2010. He then moved to the Netherlands, where he studied MSc. Electrical Engineering at the Eindhoven University of Technology (TU/e). He received his PhD degree in 2018 from the Video Coding and Architectures—Signal Processing Systems group at the Electrical Engineering faculty. 

Research profile

As of 2018, Arash Pourtaherian is a post-doc at TU/e, working on ultrasound imaging and analysis, 3D sensing and reconstruction, and medical data processing.

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Research Output

Open Access
  • 9 Citations (Scopus)
    58 Downloads (Pure)

    Medical instrument detection in 3-dimensional ultrasound data volumes

    Pourtaherian, A., Scholten, H. J., Kusters, C. J., Zinger, S., Mihajlovic, N., Kolen, A. F., Zou, F., Ng, G. C., Korsten, H. & de With, P. H. N., 1 Aug 2017, In : IEEE Transactions on Medical Imaging. 36, 8, p. 1664-1675 12 p., 7894219.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 15 Citations (Scopus)
    212 Downloads (Pure)

    Improving needle detection in 3D ultrasound using orthogonal-plane convolutional networks

    Pourtaherian, A., Ghazvinian Zanjani, F., Zinger, S., Mihajlovic, N., Ng, G. C., Korsten, H. H. M. & de With, P. H. N., 4 Sep 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II. Jannin, P., Duchesne, S., Descoteaux, M., Franz, A., Collins, D. L. & Maier-Hein, L. (eds.). Dordrecht: Springer, p. 610-618 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10434 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 7 Citations (Scopus)
    5 Downloads (Pure)

    Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes

    Pourtaherian, A., Zinger, S., With, de, P. H. N., Korsten, H. H. M. & Mihajlovic, N., 2014, Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP 2014), 27-30 October 2014, Paris, France. Piscataway: Institute of Electrical and Electronics Engineers, p. 3602-3606

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 13 Citations (Scopus)
    2 Downloads (Pure)

    Robust needle detection and visualization for 3D ultrasound image-guided interventions

    Pourtaherian, A., 26 Sep 2018, Eindhoven: Technische Universiteit Eindhoven. 188 p.

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access


    IJCARS MICCAI 2017 Special Issue Best Paper Award

    Arash Pourtaherian (Recipient) & F. Ghazvinian Zanjani (Recipient), 19 Sep 2018

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific


    • 1 Invited talk

    Smart and easy ultrasound for all doctors

    Arash Pourtaherian (Speaker)
    11 Oct 2018

    Activity: Talk or presentation typesInvited talkProfessional