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

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

By authors:

Kristoffer Wickstrøm, Thea Brüsch, Michael Kampffmeyer, Robert Jenssen

Published in:

Proceedings of the AAAI Conference on Artificial Intelligence, 39(8), 8341-8350

on

April 11, 2025

Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer

By authors:

Nikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, Lill-Tove Rasmussen Busund, Stig Manfred Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas K. Kilvaer,

Published in:

Journal of Pathology Informatics

on

March 12, 2025

Motion-compansated interpolation in echocardiography: A Lie-advection based approach

By authors:

H. N. Mirar, S. R. Snare and A. H. S. Solberg

Published in:

IEEE Transactions on Biomedical Engineering, vol. 72, no. 1, pp. 123-136, Jan. 2025

on

January 16, 2025

NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks

By authors:

Bjørn Leth Møller,Sepideh Amiri,Christian Igel,Kristoffer Wickstrøm,Robert Jenssen,Matthias Keicher,Mohammad Farid Azampour,Nassir Navab,Bulat Ibragimov

Published in:

Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:184-192, 2025.

on

January 10, 2025

Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison

By authors:

Santiago Cepeda, Roberto Romero, Lidia Luque, Daniel García-Pérez, Guillermo Blasco, Luigi Tommaso Luppino, Samuel Kuttner, Olga Esteban-Sinovas, Ignacio Arrese, Ole Solheim, Live Eikenes, Anna Karlberg, Ángel Pérez-Núñez, Olivier Zanier, Carlo Serra, Victor E Staartjes, Andrea Bianconi, Luca Francesco Rossi, Diego Garbossa, Trinidad Escudero, Roberto Hornero, Rosario Sarabia

Published in:

Neuro-Oncology Advances, Volume 6, Issue 1, January-December 2024, vdae199

on

November 16, 2024

Polar mesospheric summer echo (PMSE) multilayer properties during the solar maximum and solar minimum

By authors:

Jozwicki, D., Sharma, P., Huyghebaert, D., and Mann, I.

Published in:

Ann. Geophys., 42, 431–453,

on

November 11, 2024

Better, Not Just More: Data-centric machine learning for Earth observation

By authors:

Roscher, Ribana; Russwurm, Marc; Gevaert, Caroline; Kampffmeyer, Michael Christian; Santos, Jefersson A. Dos; Vakalopoulou, Maria; Hansch, Ronny; Hansen, Stine; Nogueira, Keiller; Prexl, Jonathan; Tuia, Devis

Published in:

EEE Geoscience and Remote Sensing Magazine 2024 s. 1-22

on

October 31, 2024

Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography

By authors:

Andreassen, B.S., Thomas, S., Solberg, A.H.S., Samset, E., Völgyes, D.

Published in:

ASMUS 2024. Lecture Notes in Computer Science, vol 15186

on

October 5, 2024

Visual Data Diagnosis and Debiasing with Concept Graphs

By authors:

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

Published in:

Advances in Neural Information Processing Systems

on

September 26, 2024

Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

By authors:

Dhananjay Tomar, Alexander Binder, Andreas Kleppe

Published in:

Advances in Neural Information Processing Systems 2024

on

September 24, 2024

Other publications

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