Research Output per year
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.
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks
Pourtaherian, A., Ghazvinian Zanjani, F., Zinger, S., Mihajlovic, N., Ng, G. C., Korsten, H. H. M. & de With, P. H. N., 1 Sep 2018, In : International Journal of Computer Assisted Radiology and Surgery. 13, 9, p. 1321-1333 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
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 journal › Article › Academic › peer-review
Open Access
File
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 proceeding › Conference contribution › Academic › peer-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. 3602-3606Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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: Thesis › Phd 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: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
- 1 Invited talk
Smart and easy ultrasound for all doctors
Arash Pourtaherian (Speaker)11 Oct 2018
Activity: Talk or presentation types › Invited talk › Professional