We congratulate Tollef Jahren for successfully defending his PhD thesis "Deep learning for detecting valvular events and suppressing reverberations in cardiac ultrasound" for the degree Philosophiae Doctor at Department of Informatics, University of Oslo.
We congratulate Tollef Jahren for successfully defending his PhD thesis "Deep learning for detecting valvular events and suppressing reverberations in cardiac ultrasound" for the degree Philosophiae Doctor at Department of Informatics, University of Oslo. The defense took place on June 11th.
Jahren's thesis introduced a new method for delineating heart cycles directly in spectral Doppler images. This innovation eliminates the need to record ECGs imultaneously, which means clinicians don't need to attach ECG pads, saving valuable time.
Jahren's research also tackles the issue of poor image quality in patients who are difficult to scan. Specifically, it addresses the problem of reverberational clutter that can obscure important cardiac structures in the images. The effectiveness of this method is demonstrated using in-vivo data.
The title of his trial lecture was “Uncertainty estimation in medical image analysis”.
Supervisors:
The evaluation commitee:
Andrew McDonald, a PhD student from University of Cambridge and the British Antarctic Survey, presented his work on sea ice forecasting with diffusion models, as well as the downstream applications of those forecasts, at Visual Intelligence in Tromsø.
Deep learning researchers from 27 different countries congregated at the 8th edition of the NLDL conference. - I have seen several interesting posters and talks that have opened my mind about different paths to explore in my own research, says NLDL 2025 attendee Tiago Ramos.
NRK, the national broadcasting company in Norway, spoke to Visual Intelligence researchers Robert Jenssen, Suaiba Amina Salahuddin, Michael Kampffmeyer and Elisabeth Wetzer about this year's Northern Lights Deep Learning Conference in Tromsø, Norway.
Andre uka i januar samles forskere fra hele verden i Tromsø for å dele og lære om siste nytt innen forskning på kunstig intelligens.
In record time, principal investigator Michael Kampffmeyer became a professor in machine learning at the young age of 32. Read more about his academic journey and work in the latest UiT Researcher Portrait
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2024 has been a year full of exciting events and accomplishments, and we look forward to continuing our journey on researching the next generation of deep learning methodology in 2025!
In a Dagens Medisin op-ed, SPKI director Karl Øyvind Mikalsen, Kristine Bø, Bjorn Anton Graff and Kurt Vanvik discuss how interregional collaborations in Norway now contributes to the implementation of AI radiology solutions across the Norwegian health regions
Jenssen has established several important collaborations between Visual Intelligence and international research environments within artificial intelligence. He has now joined the scientific advisory committee at Europe's most prominent research centre within intelligent systems.
2024 marks the research centre's fourth year of researching the next generation of deep learning methodology for extracting knowledge from complex image data. We look back at various innovation highlights achieved in the first half of Visual Intelligence's run.
Congratulations to Rwiddhi Chakraborty for successfully defending his PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway on December 13th 2024.
The graph community in Tromsø gathered on November 27th for the northernmost "Learning on Graph" Conference meetup.
Centre director Robert Jenssen recently gave a talk about the use and benefits of AI technologies during Pasientsikkerhetskonferansen 2024
Congratulations to Kristoffer Wickstrøm for receiving the Best Paper Award 2024 from the journal Pattern Recognition Letters!
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Professor Michael Kampffmeyer gave a presentation titled "Kunstig intelligens som forklarer hva den tenker" as part of a Norwegian Centre for E-Health Research Webinar (Norwegian dialogue).
I teorien ja, men i praksis fungerer det ikke slik.
EUGLOH students from partner institutions under the EUGLOH alliance can now apply for an exclusive mobility scholarship for the NLDL 2025 Winter School which covers travel, accommodation, and sustenance for successful applicants.
Visual Intelligence researchers represented the centre during Inspirasjonsdagen 2024. The event aimed to stimulate high school students' interest and curiosity for STEM and healthcare-related study programmes at UiT The Arctic University of Norway.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
PhD candidate Rwiddhi Chakraborty recently gave an invited research talk titled "Perspectives on Multimodal Reasoning" at the Pioneer Centre for AI at University of Copenhagen.
Visual Intelligence was represented at Frampeik 2024 by associate professor Elisabeth Wetzer. The event gathered student researchers at Verdensteatret in Tromsø for discussions around AI-related topics.