Blog

Principle of Relevant Information for Graph Sparsification

Updated
May 20, 2022
How can we remove the redundant or less-informative edges in a graph without changing its main structural properties?

Using Machine Learning to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

Updated
February 14, 2022
Developing artificial intelligence methods to help pathologists in analysis of whole slide images for cancer treatment and detection.

The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics

Updated
February 1, 2022
Detecting pneumonia using self-explainable methods.

Detection and classification of fish species from acoustic data

Updated
August 12, 2021
Using deep learning to assess fish stocks from acoustic images.

Deep learning and AI in the medical domain

Updated
November 14, 2019
Working towards more efficient tools for diagnosis support and decision support for diseases using deep learning technologies.‍

Projects

Performing objective measurements in ultrasound images

Updated
March 8, 2021
Exploiting limited data to perform objective measurements in ultrasound images of the heart.

Detection and classification of fish species from acoustic data

Updated
March 1, 2021
We collaborate with the Institute of Marine Research (IMR) to develop models and applications to detect and classify fish from echosounders.

Modelling continuity in seismic data

Updated
January 19, 2021
Visual intelligence is collaborating with Equinor to develop models that can exploit seismicdata and model the continuity of the subsurface.

New algorithms for vessel and object detection

Updated
January 19, 2021
Visual Intelligence collaborates with KSAT to improve existing, and develop new algorithms, for vessel detection and object recognition.

Opening the black box of AI

Updated
January 19, 2021
Deep learning and AI models must become interpretable, explainable and reliable before they can be utilized in complex domains.

Deep learning and AI in the medical domain

Updated
January 19, 2021
Overcoming the challenges of limited training data in the medical domain and laying the fundamentals for explainability and reliability.

New methods for automatic change detection in aerial images

Updated
January 19, 2021
A collaboration with Terratec to develop deep learning methods to automatically detect changes when updating an existing map database.

Oil-spill detection and characterization of thickness

Updated
December 18, 2020
Visual Intelligence collaborates with KSAT to develop new models for detecting and characterizing oil spills.

Detection of sea mammals from aerial imagery

Updated
December 18, 2020
Better solutions are needed to estimate the populations of sea mammals, such as breeding seals, from aerial images of the sea ice.