AI for ultrasound imaging

AI has become ubiquitous across many application domains. In medical imaging, AI methods (often deep neural networks) are already used to automatically analyze and interpret images, automate measurements, and support users in decision making. Such solutions will increasingly find their way into the systems and to the users.

In this talk, we will discuss a more recent but arguably more pivotal trend and role for AI to play in medical imaging: use of AI for the image formation itself – the act of recovering a high-fidelity image from the raw measurement data using intelligent systems that learn from experience. We will specifically cover opportunities for such intelligent imaging mechanisms in ultrasound, potentially offering much higher image quality with excellent clarity and, ultimately, definitive and unambiguous diagnostics.

A presentation by invited speaker Ruud van Sloun, Assistant Professor at Eindhoven University of Technology.

View of the speaker

Question 1: What drives you?
Understanding how the mechanisms governing active perception in intelligent agents such as humans map onto advanced sensing problems in medical imaging. I strive to design intelligent systems that autonomously and actively seek to maximize (diagnostic) information gain and learn how to optimally and autonomously sense, process and interpret the world around them.

Question 2: Why should the delegate attend your session?
To learn more on the potential role of AI for next-gen medical imaging.

About Ruud van Sloun
Ruud van Sloun received the B.Sc. and M.Sc. degrees (cum laude) in electrical engineering and the Ph.D. degree (cum laude) from the Eindhoven University of Technology, Eindhoven, The Netherlands, in 2012, 2014, and 2018, respectively. Since then, he has been an Assistant Professor with the Department of Electrical Engineering at the Eindhoven University of Technology and since January 2020 a Kickstart-AI fellow at Philips Research, Eindhoven. From 2019-2020 he was also a Visiting Professor with the Department of Mathematics and Computer Science at the Weizmann Institute of Science, Rehovot, Israel. He is an NWO Rubicon laureate and received a Google Faculty Research Award in 2020. His current research interests include artificial intelligence and deep learning for front-end (ultrasound) signal processing, model-based deep learning, compressed sensing, ultrasound imaging, and probabilistic signal and image analysis.

About Eindhoven University of Technology
Established in the 1950’s, Eindhoven University of Technology (TU/e) has always had strong values: optimism, collaboration and a dedication to society. These values helped Brainport Region Eindhoven flourish, and resulted in our university being ranked number 1 by Times Higher Education Ranking for collaboration with industry. 15% of our scientific publications are created in collaboration with industry, and we have the highest number of part-time professors from industry in the Netherlands.

Our publications have high citation scores, consortia we are part of have won prestigious grants and our researchers receive scientific accolades on a regular basis. This distinguishing excellence is based on our three-pillar strategy: attracting talent, using a multidisciplinary approach and providing a stimulating research environment.

Societal challenges on Health, Energy and Smart Mobility are the driving force for our research. Our research institutes, Eindhoven Artificial Intelligence Systems Institute (EAISI), Eindhoven Institute for Renewable Energy Systems (EIRES), Institute for Complex Molecular Systems (ICMS) and the Eindhoven Hendrik Casimir Institute (EHCI) combine the strengths of our university with industry needs and government strategy. TU/e researchers play an important role in new products and companies in the Brainport area and all over the world.

Ruud van Sloun is invited speaker at the 2022 edition of POCUS Conference.

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