most citedDeep Ultrasound Denoising Using Diffusion Probabilistic Models

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eess.IV2023

Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma

Karen Sanchez, Carlos Hinojosa, Kevin Arias +4

Data augmentation is classically used to improve the overall performance of deep learning models. It is, however, challenging in the case of medical applications, and in particular…

eess.IV2023★ 1 cited

Deep Ultrasound Denoising Using Diffusion Probabilistic Models

Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab +1

Ultrasound images are widespread in medical diagnosis for musculoskeletal, cardiac, and obstetrical imaging due to the efficiency and non-invasiveness of the acquisition methodolog…