VIOS (pronounced vEEOs) means life (Βίος) in Greek; its common English equivalent bio abounds in science as the word denoting everything about life (biology, biomedicine, bioimaging…). Life is central to our mission. With advances in artificial intelligence (AI), computer vision and inverse problems, our mission is to address societal problems by solving key challenges in the life and natural sciences. This mission inspires our drive in interdisciplinary AI, where we use motivating applications to propose new AI-driven solutions.

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Highlighted Publications

1. Understanding metric-related pitfalls in image analysis validation
Reinke, Annika and Tizabi, Minu D and Baumgartner and others
Nature Methods, 1--13
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2. Compositionally Equivariant Representation Learning
Liu, Xiao and Sanchez, Pedro and Thermos, Spyridon and O’Neil, Alison Q and Tsaftaris, Sotirios A
IEEE Transactions on Medical Imaging, 1-1
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3. Metrics reloaded: recommendations for image analysis validation
Maier-Hein, Lena and Reinke, Annika and Godau, Patrick and others
Nature Methods, 1--18
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4. Neural Networks Memorise Personal Information from One Sample
J. Hartley, P.P. Sanchez, F. Haider, S.A. Tsaftaris
Scientific Reports, vol. 13, no. 1, pp. 21366, 2023
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5. The role of noise in denoising models for anomaly detection in medical images
A. Kascenas, P. Sanchez, P. Schrempf, C. Wang, W. Clackett, S.S. Mikhael, J.P. Voisey, K. Goatman, A. Weir, N. Pugeault, S.A. Tsaftaris, A.Q. O'Neil
Medical Image Analysis, Volume 90, December 2023
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6. Adapting Vision Foundation Models for Plant Phenotyping
F. Chen, M.V. Giuffrida, S.A. Tsaftaris
IEEE/CVF International Conference on Computer Vision 2023
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7. Diffusion Models for Causal Discovery via Topological Ordering
P. Sanchez, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
ICLR 2023
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