37 citations · 78 across the 6 of their papers we have counts for
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eess.IV2020
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
Guillaume Godefroy, Bastien Arnal, Emmanuel Bossy
Conventional photoacoustic imaging may suffer from the limited view and bandwidth of ultrasound transducers. A deep learning approach is proposed to handle these problems and is de…
eess.IV2019
Super-resolution photoacoustic and ultrasound imaging with sparse arrays
Sergey Vilov, Bastien Arnal, Eliel Hojman +3
It has previously been demonstrated that model-based reconstruction methods relying on a priori knowledge of the imaging point spread function (PSF) coupled to sparsity priors on t…