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Personal profile

Quote

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.

Fingerprint Dive into the research topics where Arash Pourtaherian is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Ultrasonics Engineering & Materials Science
Needles Engineering & Materials Science
Catheters Medicine & Life Sciences
Transducers Medicine & Life Sciences
landmarks Physics & Astronomy
Template matching Engineering & Materials Science
Splines Engineering & Materials Science
Three-Dimensional Imaging Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2019

7 Citations (Scopus)
41 Downloads (Pure)
Open Access
File
Semantics
Needles
Ultrasonics
Neural networks
Transducers
12 Citations (Scopus)
174 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.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Transducers
Ultrasonics
Physicians
Conduction Anesthesia
Needles
5 Citations (Scopus)
5 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. Dordrecht: Springer, p. 610-618 (LNCS; vol. 10434).

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

Needles
Ultrasonics
Health
Sampling
Neural networks
12 Citations (Scopus)
2 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

Needles
Ultrasonics
Biopsy
Error detection
Computational complexity

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
File

Prizes

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

Activities 2018 2018

  • 1 Invited talk

Smart and easy ultrasound for all doctors

Arash Pourtaherian (Speaker)
11 Oct 2018

Activity: Talk or presentation typesInvited talkProfessional