Nishith Chennakeshava

According to our database, Nishith Chennakeshava authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection.

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

Comput. Methods Programs Biomed., 2024

2022

Ultrasound Signal Processing: From Models to Deep Learning.

Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

CoRR, 2022

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning.

Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound.

Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.

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

IEEE Trans. Medical Imaging, 2020