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ORCIDNishith Chennakeshava
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2020 – today
- 2024
[j2]L. Hao, Tom H. G. F. Bakkes
, Anouk van Diepen, Nishith Chennakeshava, R. Arthur Bouwman, A. J. R. De Bie, Pierre Woerlee, Francesco Mojoli, Massimo Mischi, Y. Shi, Simona Turco:
An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection. Comput. Methods Programs Biomed. 250: 108175 (2024)- 2022
- [c2]Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun:
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. ICASSP 2022: 1216-1220 - [c1]Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. ICASSP 2022: 1221-1225 - [i2]Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun:
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. CoRR abs/2201.09522 (2022) - [i1]Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Ultrasound Signal Processing: From Models to Deep Learning. CoRR abs/2204.04466 (2022) - 2020
- [j1]Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi:
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39(8): 2676-2687 (2020)
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