Events

Ehsan Naeini, PhD, Chief Product Officer, Earth Science Analytics AS

Visual Intelligence Seminar Series: Thursdays, bi-weekly

Sandy Engelhardt Assistant Professor at Heidelberg University Hospital and leads the Working Group‘Artificial Intelligence in Cardiovascular Medicine

 Didrik Nielsen from DTU Compute

Annual Visual Intelligence workshop to strengthened technology transfer, as well as knowledge transfer within the Visual intelligence consortium.

Social event for phd-students, young- and early career researchers will meet up to get to know each other.

Raul Santos Rodriguez, Turing AI Fellow and Associate Professor in Data Science and AI at the Department of Engineering Mathematics, University of Bristol

This workshop aims to bring together both academic researchers and industrial practitioners to share visions on the explainable artificial intelligence (XAI), and the practical usages in different AI applications, such as biomedical images and marine science.

In this talk, we will address some important but often overlooked problems in training a network from the viewpoint of generalization ability and reliability of output, and discuss some ways for alleviating them with respect to classification problems.

Changkyu Choi, Doctoral Research Fellow at UiT The Arctic University of Norway

The Midnight Sun Conference brings together researchers, clinicians, and other interested parties to share experiences, discuss and learn about how artificial intelligence is used and can be implemented in the health service.

Jens Grimsgaard, Senior Geophysicist, Equinor

Øivind Due Trier, Norwegian Computing Center, Section for Earth Observation, Norway

In this workshop, we have invited speakers that will give some insight both in classifier calibration as well as in Bayesian deep learning, to shed light on one of the main research challenges in Visual Intelligence, namely Confidence and Uncertainty.

Gitta Kutyniok, adjunct professor at Visual Intelligence, UiT

Andreas Kleppe, Institute for Cancer Genetics and Informatics, Oslo University Hospital, and Department of Informatics, University of Oslo

Torgeir Brenn, KSAT

This VI workshop aims to start the development of best practices of data management to streamline and prevent common pitfalls by sharing challenges and solutions related to the handling of medical data for machine learning research.

Andrew Gilbert from GE Healthcare will in this seminar present work on generating synthetic labeled data from anatomical models with examples from Echocardiography Segmentation.

Senior researcher at NR, Olav Brautaset, will give a talk on how supervised semantic segmentation of echosounder data using CNNs are used in marine acoustic classification.