25 Computer Vision News universities. It’s a topic a lot of academics and PhD students are working on, on how we can make the acquisition and the reconstruction faster, which means acquiring less data and still obtaining a comparable result thanks to the neural networks that lie behind it. For MRI, in particular, this means not having to compromise between signal-tonoise ratio, acquisition time, and image resolution. Now, you can find a nice balance between the three. More signal, less noise. Exactly! [Elisa laughs] I have a devil’s advocate question – why does Siemens Healthineers need you in its workforce? Everyone brings their own personal contribution to the role thanks to our past experience. What I think is valuable in my particular case is the technical background, because that means I can take a technical publication and translate into a clinically relevant presentation, with a catchy title, or come up with a topic for an event that reflects what’s happening in the field, so that it becomes attractive to someone not necessarily as technical. Then, as I mentioned earlier, the communication skills, engaging with people and with the community, helps a lot in this position. What are you most proud of in the first years at Siemens Healthineers? Elisa Roccia
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