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We are delighted that Sotos from VIOS will be the director of CHAI: the new national UK hub on Causal AI and Healthcare (see the UKRI announcement and the governments’s release). See also the University and School of Engineering’s news .
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2023 has been a great year for VIOS. We welcomed Steven as a new academic and Valerio has joined Nottingham. We saw students graduating (Xiao, Victor) landing excellent jobs. We continue to expand. We welcomed 5 new postdocs, 7 new PhD students (3 with Archimedes RC in Greece), 3 visitors, and 2 software engineers. We will continue to expand. This growth has been fueled by impressive success in new grants tackling problems across several applications. From pure theory (representation learning), to computer assisted surgery, to digital research infrastructure aided by AI, to using AI for molecule design, to AI for netzero and many more. We are extremely grateful to our collaborators and the funding agencies for the continued support. Importantly though this success has also led to considerable research output. It is not possible to list it all, but here are some highlights: new patents with Canon, papers at ICLR, best paper awards at DART, papers to soon appear in Nature Methods and Scientific Reports and so much more. We cannot wait to see what 2024 will bring.
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VIOS is expanding with new PhD students (at least 3 with fully funding available). Descriptions of the positions will be made available at the join us page.
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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.
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VIOS has strong presence in MICCAI presenting 5 papers and co-organising two workshops (DART and MAD).
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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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Sotos has been recognised as a Fellow of the European Lab for Learning and Intelligent Systems (ELLIS) of Edinburgh’s ELLIS Unit.
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We are looking for PostDocs and PhD students, visit our join us page for more information. See this link for an opening on Causal Machine Learning in healthcare .
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VIOS has strong presence in MICCAI presenting 5 papers, and organizing one tutorial, and co-organising one workshop.
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Two new monster surveys from our group: on disentangled representations and on privacy and ML.
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Sotos will be keynote speaker for MIUA 2022.
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Sotos’ keynote talk at IMPROVE 2021 (International Conference on Image and Vision Engineering) “How should we create algorithms to do more with less?”
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Sotos, Alison, Spiros, Xiao and Pedro will be giving a tutorial on disentangled representation learning at MICCAI 2021 (Strasbourg). See here DREAM 2021 page.
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Keynote talk from Dr. Chen Qin on “Deep Learning for Dynamic MRI Reconstruction” at Artificial Intelligence in NMR, MRI and Neuroscience.
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Sotos invited talk at Hessian.AI “Doing more with less by learning better data representations”.
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VIOS has strong presence in MICCAI with 7 papers, one tutorial and one keynote (DART, by Sotos).
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Sotos will serve as Area Chair for CVPR 2021 (Nashville, TN).
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Sotos and Alison will be giving a tutorial on disentangled representation learning at MICCAI 2020 (Peru). See here DREAM 2020 PAGE.
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Sotos will serve as Area Chair for MICCAI 2020 (Peru).
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Dr Chen Qin joined our collaboratory. Visit her profile here.
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Sotos will serve as Tutorial Chair for ECCV 2020 (Glasgow).
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Sotos is deeply honoured to give an invited talk at the AI for Affordable Healthcare Workshop in Addis Ababa (Ethiopia) in conjunction with ICLR (a premier machine learning conference).
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Our ex-student/postdoc made the next step in his career. Ilkay is starting at Istanbul Technical University as Assistant Professor.
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Sotos is deeply honoured to give the keynote talk at the best and longest running workshop on cardiac image analysis, the STACOM 2019 at MICCAI (China).
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It has been a good 2019 as of now, with 3 papers in MICCAI (2 in workshops), 2 in MIDL, 3 in CVPR (workshop).
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Our ex-student/postdoc made the next step in his career. Valerio is starting at Napier as lecturer, less than 1 year from his PhD defense.
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Agis’s excellent work on disentangled learning is finally live in MedIA.
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Tian was a runner up for the best paper award at MIDL for his work on pathology factorisation.
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After almost 8 years of work, our paper setting the new way to do BOLD in the heart is out in Science Translational Medicine.
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We are growing the team. If you have a strong profile please email Sotos and attach a CV. Check Contact page.
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Sotos became a Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI. Over 5 years this endowed position will provide with the opportunity to look into distinct challenges in using and deploying AI in healthcare settings. It is thanks to the generous support of Canon Medical Research Europe, the Academy and the School of Engineering.