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

  • 7 Similar Profiles
Stents Engineering & Materials Science
Ultrasonics Engineering & Materials Science
Pulsatile flow Engineering & Materials Science
arteries Physics & Astronomy
Velocity measurement Engineering & Materials Science
particle image velocimetry Physics & Astronomy
shear stress Earth & Environmental Sciences
Shear stress Engineering & Materials Science

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Research Output 2010 2019

  • 7 Conference contribution
  • 6 Article
  • 1 Chapter
  • 1 PhD Thesis - Research UT, graduation UT

Fully resolved simulation and ultrasound flow studies in stented carotid aneurysm model

Mikhal, J., Hoving, A. M., Ong, G. M. & Slump, C. H., 8 Mar 2019, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Linte, C. A. (eds.). SPIE, 1095115. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10951).

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

Stents
Aneurysm
Ultrasonics
Flow simulation
Blood
1 Citation (Scopus)
9 Downloads (Pure)

In vitro high-frame-rate contrast-enhanced ultrasound particle image velocimetry in a carotid artery stent

Hoving, A. M., Voorneveld, J., De Vries, E. E., Groot Jebbink, E., Versluis, M., Bosch, J. G., de Jong, N., Mikhal, J., De Borst, G. J. & Slump, C. H., 6 Mar 2018, Medical Imaging 2018: Ultrasonic Imaging and Tomography. Duric, N. & Byram, B. C. (eds.). SPIE, Vol. 10580. p. 5 105800A. (Proceedings of SPIE; vol. 10580).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Stents
Rheology
particle image velocimetry
arteries
Carotid Arteries

Using neural networks to predict the functionality of reconfigurable nano-material networks

Greff, K., van Damme, R. M. J., Koutnik, J., Broersma, H. J., Mikhal, J. O., Lawrence, C. P., van der Wiel, W. G. & Schmidhuber, J., 10 Jan 2017, In : International journal on advances in intelligent systems. 9, 3&4, p. 339-351 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Neural networks
Logic gates
Experiments
Transfer functions
Physical properties
4 Downloads (Pure)

A simulation tool for evolving functionalities in disordered nanoparticle networks

van Damme, R. M. J., Broersma, H. J., Mikhal, J. O., Lawrence, C. P. & van der Wiel, W. G., 21 Nov 2016, 2016 IEEE Congress on Evolutionary Computation (CEC 2016). USA: IEEE Computer Society, p. 5238-5245 8 p.

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

Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks

Greff, K., van Damme, R. M. J., Koutnik, J., Broersma, H. J., Mikhal, J. O., Lawrence, C. P., van der Wiel, W. G. & Schmidhuber, J., 20 Mar 2016, The Eighth International Conference on Future Computational Technologies and Applications, FUTURE COMPUTING 2016. Wilmington, U.S.A.: IARIA, p. 15-20 6 p.

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

File