Profile picture

Robert Jenssen

Director

,

Visual Intelligence

Professor

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of

Medicine and health


Research field(s) of interest:

Medicine and health
Marine science
Explainability and reliability
Limited training data

Publications

Publications from Visual Intelligence

Cauchy-Schwarz Divergence Information Bottleneck for Regression

By authors:

Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Principe, Jose.

Published in:

International Conference on Learning Representations 2024

on

January 16, 2024

Discriminative multimodal learning via conditional priors in generative models

By authors:

Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen,

Published in:

Neural Networks, Volume 169, 2024, Pages 417-430

on

November 4, 2023

A Contextually Supported Abnormality Detector for Maritime Trajectories

By authors:

Olesen, Kristoffer Vinther; Boubekki, Ahcene; Kampffmeyer, Michael Christian; Jenssen, Robert; Christensen, Anders Nymark; Hørlück, Sune; Clemmensen, Line H. A

Published in:

Journal of Marine Science and Engineering (JMSE) 2023 ;Volum 11.(11)

on

October 31, 2023

View it like a radiologist: Shifted windows for deep learning augmentation of CT images

By authors:

Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert.

Published in:

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023, pp. 1-6

on

October 23, 2023

Selective Imputation for Multivariate Time Series Datasets with Missing Values.

By authors:

Blazquez-Garcia, Ane; Wickstrøm, Kristoffer Knutsen; Yu, Shujian; Mikalsen, Karl Øyvind; Boubekki, Ahcene; Conde, Angel; Mori, Usue; Jenssen, Robert; Lozano, Jose A.

Published in:

Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 9490-9501

on

September 1, 2023

ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement

By authors:

Hansen, Stine; Gautam, Srishti; Salahuddin, Suaiba Amina; Kampffmeyer, Michael Christian; Jenssen, Robert

Published in:

Medical Image Analysis 2023 ;Volum 89

on

August 2, 2023

SuperCM: Revisiting Clustering for Semi-Supervised Learning

By authors:

Durgesh Singh, Ahcéne Boubekki, Robert Jenssen, Michael C. Kampffmeyer

Published in:

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

on

June 4, 2023

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy

By authors:

Wickstrøm, Kristoffer; Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Yu, Shujian; Príncipe, José C.; Jenssen, Robert.

Published in:

Entropy 2023 ;Volum 25.(6) s.1-21

on

June 3, 2023

A clinically motivated self-supervised approach for content-based image retrieval of CT liver images

By authors:

Wickstrøm, Kristoffer; Østmo, Eirik Agnalt; Radiya, Keyur; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert.

Published in:

Computerized Medical Imaging and Graphics 2023 ;Volum 107. s.1-12

on

May 9, 2023

This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation

By authors:

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer

Published in:

Pattern Recognition, Volume 136, 2023

on

April 1, 2023

View scholar page
View personal website