Robert Jenssen
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Christian Kampffmeyer
:
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
Pattern Recognition 2024 DOI
Kristoffer Wickstrøm,
Eirik Agnalt Østmo,
Keyur Radiya,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Stine Hansen,
Srishti Gautam,
Suaiba Amina Salahuddin,
Michael Christian Kampffmeyer,
Robert Jenssen
:
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement
Ane Blazquez-Garcia,
Kristoffer Knutsen Wickstrøm,
Shujian Yu,
Karl Øyvind Mikalsen,
Ahcene Boubekki,
Angel Conde
et al.:
Selective Imputation for Multivariate Time Series Datasets with Missing Values
Changkyu Choi,
Michael Kampffmeyer,
Nils Olav Handegard,
Arnt-Børre Salberg,
Robert Jenssen
:
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data
Durgesh Kumar Singh,
Ahcene Boubekki,
Robert Jenssen,
Michael Kampffmeyer
:
Supercm: Revisiting Clustering for Semi-Supervised Learning
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
Daniel Johansen Trosten,
Rwiddhi Chakraborty,
Sigurd Eivindson Løkse,
Kristoffer Wickstrøm,
Robert Jenssen,
Michael Kampffmeyer
:
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
Eirik Agnalt Østmo,
Kristoffer Wickstrøm,
Keyur Radiya,
Michael Kampffmeyer,
Robert Jenssen
:
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
Kristoffer Wickstrøm,
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Ahcene Boubekki,
Karl Øyvind Mikalsen,
Michael Kampffmeyer
et al.:
RELAX: Representation Learning Explainability
Kristoffer Wickstrøm,
Sigurd Eivindson Løkse,
Michael Kampffmeyer,
Shujian Yu,
José C. Príncipe,
Robert Jenssen
:
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
Kristoffer Vinther Olesen,
Ahcene Boubekki,
Michael Christian Kampffmeyer,
Robert Jenssen,
Anders Nymark Christensen,
Sune Hørlück
et al.:
A Contextually Supported Abnormality Detector for Maritime Trajectories
Rogelio Andrade Mancisidor,
Michael Christian Kampffmeyer,
Kjersti Aas,
Robert Jenssen
:
Discriminative multimodal learning via conditional priors in generative models
Fredrik Emil Aspheim,
Samuel Kuttner,
Luigi Tommaso Luppino,
Rune Sundset,
Michael Christian Kampffmeyer,
Robert Jenssen
:
Deep learning derived input-function in dynamic PET-imaging
2023
Fredrik Emil Aspheim,
Luigi Tommaso Luppino,
Michael Christian Kampffmeyer,
Robert Jenssen,
Rune Sundset,
Akos Samuel Kuttner
:
Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging
2023
Robert Jenssen
:
XAI for representation learning
2023
Robert Jenssen
:
On representation learning with information theoretic criteria and a new method for representation learning interpretability
2023
Robert Jenssen
:
Information theoretic approaches: To clustering, graph neural networks and for investigating the dynamics of learning
2023
Robert Jenssen
:
Self-supervised learning with XAI
2023
Robert Jenssen
:
Information Theory Meets Deep Learning
2023
Robert Jenssen
:
Deep learning in image analysis, graphs, and a new measure of statistical dependency between graphs
2023
Robert Jenssen
:
XAI for representation learning
2023
Robert Jenssen
:
Kunstig intelligens i helse
2023
Robert Jenssen
:
Kunstig intelligens – Hva er det? Hvor kan det (mis)brukes
2023
Robert Jenssen
:
NRK-intervju Arendalsuka
16. Aug 2023
Robert Jenssen
:
Kunstig intelligens i fremtidens helsetjenester
30. Sep 2023
Robert Jenssen
:
A major Norwegian hub for AI research in health
2023
Robert Jenssen
:
Stortinget: Kunstig intelligens i helse
2023
Robert Jenssen
:
En offensiv offentlig politikk for kunstig intelligens i helsetjenesten
2023
Robert Jenssen
:
Deltaker i podcasten KA i KI
08. Dec 2023
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Robert Jenssen
:
"Explainable" IceNet with backpropagated gradients
2023
Changkyu Choi,
Michael Christian Kampffmeyer,
Nils Olav Handegard,
Arnt-Børre Salberg,
Robert Jenssen
:
Deep Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data
2023
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
RELAX: Representation Learning Explainability
2022
Kristoffer Knutsen Wickstrøm,
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
RELAX: Representation Learning Explainability
2022
Daniel Johansen Trosten,
Kristoffer Wickstrøm,
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
Deep Clustering with the Cauchy-Schwarz Divergence
2022
Robert Jenssen
:
Pasientnær kunstig intelligens
2022
Robert Jenssen
:
Visual Intelligence and environmental monitoring
2022
Robert Jenssen
:
Towards XAI and Visual Intelligence for health
2022
Robert Jenssen
:
Visual Intelligence advances deep learning research towards innovations
2022
Robert Jenssen
:
Women in AI panel debate
2022
Robert Jenssen
:
Towards XAI and Visual Intelligence for health
2022
Robert Jenssen
:
Learning from limited data
2022
Robert Jenssen
:
Machine Learning Research, AI Technology and Ethical Considerations
2022
Robert Jenssen
:
Visual Intelligence and graph neural networks
2022
Robert Jenssen
:
Mot framtidas helsevesen med kunstig intelligens
2022
Robert Jenssen
:
Kunstig intelligens-utdanninger for helse ved UiT
2022
Robert Jenssen
:
Paneldebatt framtidas helsevesen med AI
2022
Robert Jenssen
:
Visual Intelligence for medical image analysis
2022
Robert Jenssen
:
Presentation of SFI Visual Intelligence
2022
Robert Jenssen
:
Etikk og AI
2022
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