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Dive into the research topics where Nishith Chennakeshava is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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TTW 17144 SPICE: Self-Driving Ultrasound for Multiparametric Cardiac Tissue Characterization
Mischi, M., Chennakeshava, N., Chen, X., Luijten, B., Huang, Y., van der Hagen, D. & Federici, B.
1/01/19 → 31/12/24
Project: Research direct
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Ultrasound Signal Processing: From Models to Deep Learning
Luijten, B., Chennakeshava, N., Eldar, Y. C., Mischi, M. & van Sloun, R. J. G., Mar 2023, In: Ultrasound in Medicine and Biology. 49, 3, p. 677-698 22 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile6 Downloads (Pure) -
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Stevens, T. S. W., Chennakeshava, N., de Bruijn, F. J., Pekař, M. & van Sloun, R. J. G., 27 Apr 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers, p. 1216-1220 5 p. 9746591Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Downloads (Pure) -
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound
Chennakeshava, N., Stevens, T. S. W., de Bruijn, F. J., Hancock, A., Pekař, M., Eldar, Y. C., Mischi, M. & van Sloun, R. J. G., 27 Apr 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers, p. 1221-1225 5 p. 9746195Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Ultrasound Signal Processing: From Models to Deep Learning
Luijten, B., Chennakeshava, N., Eldar, Y. C., Mischi, M. & van Sloun, R. J. G., 9 Apr 2022, In: arXiv. 2022, 77 p., 2204.04466.Research output: Contribution to journal › Article › Academic
Open AccessFile277 Downloads (Pure) -
Deep Proximal Learning for High-Resolution Plane Wave Compounding
Chennakeshava, N., Luijten, B., Mischi, M., Eldar, Y. C. & van Sloun, R. J. G., 23 Dec 2021, In: arXiv. 2021, 10 p., 2112.12410.Research output: Contribution to journal › Article › Academic
Open AccessFile14 Downloads (Pure)
Press/Media
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Eindhoven University of Technology Reports Findings in Electronics (Ultrasound Signal Processing: From Models to Deep Learning)
Massimo Mischi, Ruud J.G. van Sloun & Nishith Chennakeshava
31/01/23
1 item of Media coverage
Press/Media: Expert Comment
Thesis
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Optimising stellarator magnetic geometry for increased critical gradient of trapped-electron modes
Author: Chennakeshava, N., 2019Supervisor: Proll, J. H. E. (Supervisor 1) & Mynick, H. E. (External person) (External coach)
Student thesis: Master
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