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20212025
most citedA Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images

61 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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eess.IV2025★ 2 cited

DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images

Paolo Angella, Luca Balbi, Fabrizio Ferrando +4

Motion artifacts remain a significant challenge in Magnetic Resonance Imaging (MRI), compromising diagnostic quality and potentially leading to misdiagnosis or repeated scans. Exis…

eess.IV2021★ 61 cited

A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images

Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè

Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and non-invasiveness of the acquisition methodol…