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, computer vision and inverse problems, our mission is to address societal problems by solving key challenges in the life and natural sciences.

News

  • We are expanding again!: We are looking for several PhD students (Deadlines 30/Nov/2022, 13/Jan/2023, 3/Feb/2023) visit our join us page for more information.

  • VIOS at MICCAI 2022: VIOS has strong presence in MICCAI presenting 5 papers and co-organising two workshops (DART and MAD).

  • We are expanding! (ddl Oct 21): We are looking for a PostDoc, visit our join us page for more information. See this link for an opening on causal representation learning from rare data.

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Highlighted Publications

1. Diffusion Models for Causal Discovery via Topological Ordering
P. Sanchez, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
ICLR 2023
Preprint Code

2. Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
G. Jacenków; A.Q. O’Neil, S.A. Tsaftaris
ISBI 2022
Full Text Preprint Code

3. vMFNet: Compositionality Meets Domain-generalised Segmentation
X. Liu, S. Thermos, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2022
Full Text Preprint Code

4. What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
P. Sanchez, A. Kascenas, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
MICCAI Workshop 2022, Deep Generative Models
Full Text Preprint Code

5. Why patient data cannot be easily forgotten?
R. Su, X. Liu, S.A. Tsaftaris
MICCAI 2022
Full Text Preprint

6. Measuring Unintended Memorisation of Unique Private Features in Neural Networks.
J. Hartley, S.A. Tsaftaris
2022
Preprint Code

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