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Found 4 papers, 1 papers with code
Dehazing Ultrasound using Diffusion Models
Alternatively, denoising algorithms are typically unable to remove highly structured and correlated noise, such as haze.
Removing Structured Noise with Diffusion Models
Solving ill-posed inverse problems requires careful formulation of prior beliefs over the signals of interest and an accurate description of their manifestation into noisy measurements.
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
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.
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection
Cognitive radars are systems that rely on learning through interactions of the radar with the surrounding environment.
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