Dr. Wickstrøm together with his opponents, supervisors and representatives from UiT after his defense.
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.
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.
Wickstrøm has in his thesis developed a range of novel deep learning methods aiming at producing a new level of interpretability and uncertainty quantification for health-related applications within medical computer vision and analysis of patient data from electronic health records.
Wickstrøm defended his work publicly and under the scrutiny of his opponents, Irina Voiculescu, University of Oxford, and Lars Kai Hansen, Technical University of Denmark
Prior to the actual defense, Wickstrøm gave his so-called trial lecture (a requirement in Norway) entitled "Technical aspects of translating AI algorithms into real life medical practice, within the design and implementation of Randomized Controlled Trials".
The right to health is a fundamental human right, but numerous challenges face those who wish to comply. Shortage of trained health personnel, increases in costs, and an aging population are just a few examples of obstacles that arise in the healthcare sector. Tackling such problems is crucial to provide high quality and reliable healthcare to people around the world. Many researchers and healthcare professionals believe that data-driven healthcare has the potential to solve many of of these problems. Data-driven methods are based on algorithms that learn to perform tasks by identifying patterns in data, and often improve in line with the amount of data. A key driving force in contemporary data-driven healthcare is deep learning, which is part of the representation learning field where the goal is to learn a data representation that is beneficial for performing some task. Deep learning has lead to major improvements in important healthcare domains such as computer vision and natural language processing. However, deep learning algorithms lack explainability, do not provide a notion of uncertainty, and struggle when tasked with learning from unlabeled data. These are fundamental limitations that must be tackled for deep learning-based data-driven healthcare to reach its full potential. Towards tackling these limitation, we propose new methodology within the field of deep learning. We present the first methods for capturing uncertainty in explanations of predictions, and we introduce the first framework for explaining representations of data. We also introduce a new method that utilizes domain knowledge to extract clinically relevant features from medical images. While our emphasis is on healthcare applications, the proposed methodology can be employed in other domains as well, and we believe that the innovations in this thesis can play an important part in creating trustworthy deep learning algorithms that can learn from unlabeled data.
Prof. Pierre Baldi visited Visual Intelligence in Tromsø, February 16-17, 2023. The two days were filled with fruitful meetings on potential scientific collaboration between UCI and Visual Intelligence.
Machine learning phd students from Visual Intelligence present at UiT The Arctic University of Norway's open day 2023, for recruitment of new students.
VIGS is Visual Intelligence's social and scientific initiative for phd students, postdocs and early career researchers! May 3-5 VIGS will organize a joint trip to UiT's field station in Indre Troms. Sign up and read more about the social and scientific program in out event!
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.
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.
Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!
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.