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Massimo Mischi

5 accepted papers

2023

Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging

ICASSP 2023accepted

Ultrasound imaging is an attractive imaging modality due to its low-cost and real-time feedback, although it often falls short in image quality compared to MRI and CT imaging. Conventional ultrasound image reconstruction, such as Delay-and-Sum beamforming, is derived from maximum-likelihood estimati…

Cited by 0SourceScholar
2022

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

ICASSP 2022accepted

Intravascular UltraSound (IVUS) is a key tool in guiding the treatment and diagnosis of various coronary heart diseases. However, due to its nature IVUS is a very challenging modality to interpret, and suffers from a severely restricted data transfer rate. This forces a trade-off between temporal an…

Cited by 0SourceScholar
2019

Deep Learning for Fast Adaptive Beamforming

ICASSP 2019accepted

The real-time nature that makes diagnostic ultrasonography so appealing to clinicians imposes strong constraints on the computational complexity of image reconstruction algorithms. As such, these typically rely on traditional delay-and-sum beamforming, a low-complexity approach that unfortunately co…

Cited by 0SourceScholar
2019

Deep Learning for Super-resolution Vascular Ultrasound Imaging

ICASSP 2019accepted

Based on the intravascular infusion of gas microbubbles, which act as ultrasound contrast agents, ultrasound localization microscopy has enabled super resolution vascular imaging through precise detection of individual microbubbles across numerous imaging frames. However, analysis of high-density re…

Cited by 0SourceScholar
2019

Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging

ICASSP 2019accepted

Ultrasound localization microscopy offers new radiation-free diagnostic tools for vascular imaging deep within the tissue. Despite its high spatial resolution, low microbubble concentrations dictate the acquisition of tens of thousands of images, over the course of several seconds to tens of seconds…

Cited by 0SourceScholar