The authors of the paper that won best paper at CVCS 2022. From the right: Srishti Gautam, Suaiba Salahuddin and Stine Hansen.
Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!
Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!
The paper was entitled "A self-guided anomaly detection-inspired few-shot segmentation network".
The work describes a new approach for automatically finding (segmenting) organs in medical imagery such as MRI and is based on deep learning. The new method can work even in scenarios where the neural network is presented with extremely little annotated data. A major component is self-training, in the sense of creating pseudo-annotations for use in the so-called few shot training process of the network, as well as a self-guiding element to make as few errors as possible.
Suaiba Salahuddin says in a comment:
-It was an amazing research opportunity to collaborate on my first paper with Stine Hansen and Srishti Gautam under the supervision of Michael Kampffmeyer and Robert Jenssen.
-I am privileged to have helped contribute towards critical medical AI challenges such as limited data. I am honoured and motivated to pursue further high-quality research having received the CVCS award!
The Northern Lights Deep Learning Conference, Tromsø, January 9th to 13th, was a great gathering of 250 deep learning researchers.
Stine Hansen with the defended her PhD thesis “Leveraging Supervoxels for Medical Image Volume Segmentation With Limited Supervision” on Dec. 16th at UiT The Arctic University of Norway.
7-8 November VIGS organized a successful gathering for early career researchers in Tromsø. The program was filled with both a social and technical program and gathered around 20 researchers from the research partners in Visual Intelligence.
We had the great pleasure of hosting Lars Kai Hansen, Technical University of Denmark, and Irina Voiculescu, University of Oxford, at the Visual Intelligence centre in Tromsø.
Kristoffer Wickstrøm defended his PhD thesis “Advancing deep learning with emphasis on data-driven healthcare” on Oct 28 at UiT The Arctic University of Norway.
PhD student Srishti Gautam in Visual Intelligence and her collaborators from UiT The Arctic University of Norway and Technical University of Berlin got their paper "ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model" accepted to NeurIPS 2022!
Developing deep learning-based AI for quantitative PET imaging. Groups joining forces and a new innovation project.
It was absolutely packed with people when Visual Intelligence, NORA, and CAIR/UIA invited a strong panel to debate the future of healthcare with AI at Arendalsuka 2022!
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Ane Blazquez Garcia, University of the Basque Country and the Ikerlan research institute, visited Visual Intelligence in the fall of 2021. Partially based on work conducted during this visit, she successfully defended her PhD thesis on July 27th 2022. Congratulations!
Updated program and call for papers for the Northern Lights Deep Learning Conference is now available.
Visual Intelligence had the great pleasure of hosting professor Jose Principe from the University of Florida for a 3-day visit in Tromsø June 29 - July 1, 2022.
The workshop brought together partners from the Cancer Registry and the University Hospital of North Norway, as well as researchers from the wider consortium.
Srishti Gautam, PhD student in Visual Intelligence, at UiT received the Best Poster award at the NORA annual conference 2022
Director Robert Jenssen gave the keynote "Visual Intelligence advances deep learning research towards innovations" at the 2022 Norwegian AI Society Conference (NAIS) in Oslo.
PhD candidate at UiT Kristoffer Wickstrøm gives invited tutorial at the 2022 Norwegian Artificial Intelligence Society (NAIS) Conference in Oslo.
Visual Intelligence had the great pleasure of hosting a school class from Kongsbakken VGS in Tromsø on April 20th 2022.
We invited companies, the public sector, and other organizations to present their ideas for master’s projects and to connect with students having an interest and background in computer science and machine learning.
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Director Robert Jenssen gave a talk about explainable AI connected to the overarching theme of the Aim North conference, namely Ethics in AI. The talk outlined e.g. VI's recent results on detecting artifacts in medical images by our "Prototypical Relevance Propagation" method.