46 citations · 54 across the 3 of their papers we have counts for
4 papers
A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem
Yunqi Huang, Nishith Chennakeshava, Alexis Carras +4
Container stowage planning (CSPP) is a critical component of maritime transportation and terminal operations, directly affecting supply chain efficiency. Owing to its complexity, C…
Ultrasound Signal Processing: From Models to Deep Learning
Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar +2
Medical ultrasound imaging relies heavily on high-quality signal processing to provide reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms w…
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn +2
Intravascular ultrasound (IVUS) offers a unique perspective in the treatment of vascular diseases by creating a sequence of ultrasound-slices acquired from within the vessel. Howev…
Deep Proximal Learning for High-Resolution Plane Wave Compounding
Nishith Chennakeshava, Ben Luijten, Massimo Mischi +2
Plane Wave imaging enables many applications that require high frame rates, including localisation microscopy, shear wave elastography, and ultra-sensitive Doppler. To alleviate th…