Scientific publications

At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.

Featured papers

AI matches human experts in classifying microscopic organisms

July 16, 2025
By
Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen

Visual Data Diagnosis and Debiasing with Concept Graphs

September 26, 2024
By
Chakraborty, Rwiddhi; Wang, Yinong; Gao, Jialu; Zheng, Runkai; Zhang, Cheng; De la Torre, Fernando

All publications

SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering

By authors:

Durgesh Kumar Singh, Ahcene Boubekki, Robert Jenssen, Michael Kampffmeyer

Published in:

Pattern Recognition, vol 171, Part A, Article: 112117

on

March 3, 2026

Spatio-Temporal Landmark Detection via Selective Fine-Tuning of Echocardiography Foundation Models

By authors:

Preetraj Bhoodoo, Sarina Thomas, Elisabeth Wetzer, Anne H Schistad Solberg, Guy Ben-Yosef

Published in:

Northern Lights Deep Learning Conference 2026, Proceedings of Machine Learning Research (PMLR), 307

on

January 6, 2026

Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization

By authors:

Ingrid Utseth, Amund Hansen Vedal, Sarina Thomas, Line Eikvil

Published in:

Proceedings of the 7th Northern Lights Deep Learning Conference (NLDL), PMLR 307:439-447, 2026

on

January 6, 2026

The Fossil Frontier: An answer to the 3-billion fossil question

By authors:

Iver Martinsen, Benjamin Ricaud, David Wade, Odd Kolbjørnsen, Fred Godtliebsen

Published in:

Artificial Intelligence in Geosciences, Volume 7, Issue 1, 2026

on

January 3, 2026

Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting

By authors:

Lars Uebbing, Harald Lykke Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Wickstrøm, Sebastien Francois Lefevre, Arnt Børre Salberg, Scott Hosking, Robert Jenssen

Published in:

Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:245-254, 2025.

on

January 1, 2026

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation

By authors:

Wickstrom, Kristoffer; Höhne, Marina; Hedström, Anna.

Published in:

Lecture Notes in Computer Science, vol 15643. Springer, 2025

on

December 5, 2025

Revisiting Glorot Initialization for Long-Range Linear Recurrences

By authors:

Noga Bar, Mariia Seleznova, ‪Yotam Alexander‬‏, Gitta Astrid Hildegard Kutyniok, Raja Giryes

Published in:

Advances in Neural Information Processing Systems, NeurIPS 2025

on

December 3, 2025

The ethics of analog AI

By authors:

Maximilian Kiener, Jonas Bozenhard, Gitta Astrid Hildegard Kutyniok, Sven Nyholm

Published in:

AI Ethics 6, 27 (2026)

on

December 1, 2025

A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images

By authors:

Nikita Shvetsov, Thomas Karsten Kilvær, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo

Published in:

Computers in Biology and Medicine, Volume 199, 2025

on

December 1, 2025

Differentiable Hierarchical Visual Tokenization

By authors:

Marius Aasan, Martine Hjelkrem Tan, Nico Catalano, Changkyu Choi, Adín Ramírez Rivera

Published in:

Advances in Neural Information Processing Systems, 38, NeurIPS2025

on

October 29, 2025

Other publications

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