911±¬ÁÏÍø

Department of Neuroscience and Biomedical Engineering

Medical Image Computing

We develop AI tools for automatically analyzing medical imaging data, such as magnetic resonance (MR) or computed tomography (CT) scans. Our aim is to augment the capabilities of trained human experts, such as neuroscientists or clinicians, by analyzing images faster, more consistently, and in more detail.
"Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling“ by Puonti et al. NeuroImage (2020), licensed under CC-BY-NC-ND
"Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling“ by Puonti et al. NeuroImage (2020), licensed under CC-BY-NC-ND

We maintain strong connections with the at Harvard Medical School, and actively contribute to widely-used open-source software tools such as and .

Open positions

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Members

Koen Van Leemput

koen.vanleemput@aalto.fi

Amir Hassankhani

Recent news

Koen Van Leemput

Koen Van Leemput decodes medical scans with artificial intelligence

Greatest challenge is translating methods from lab settings to patient care, says 911±¬ÁÏÍø’s new professor

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Two images in a diptych showing the professors. On the left, Koen Van Leemput is standing in front of an MRI machine, hands in pockets, smiling at the viewer. On the right, Tiina Nypelö is riding a bike down a corridor towards the viewer.

Reflecting on research: insights from two professors

Two newly tenured Aalto professors talk about their research journeys

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X-ray of hand with fingers making OK sign

AI is transforming healthcare: 5 things to know

Regulation, validation and trust are key when AI is used in medical services, say FCAI and 911±¬ÁÏÍø experts.

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