Kristoffer Wickstrøm

25 papers Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [ CoRR Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
2025	—	`conf`	Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance. SCIA (2) Suaiba Amina Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer, Robert Jenssen
2025	J	`jnl`	Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN. CoRR Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer
2025	—	`conf`	In-Hoc Concept Representations to Regularise Deep Learning in Medical Imaging. ICCVW Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstrøm, Wilson Silva
2025	J	`jnl`	In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging. CoRR Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstrøm, Wilson Silva
2025	J	`jnl`	Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training. CoRR Kristoffer Wickstrøm, Teresa Dorszewski, Siyan Chen, Michael Kampffmeyer, Elisabeth Wetzer, Robert Jenssen
2025	J	`jnl`	Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models. CoRR Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen, Tone Hovda, Antonio Portaluri, Solveig Thrun, Michael Kampffmeyer, Elisabeth Wetzer, Kristoffer Wickstrøm, Robert Jenssen
2025	—	`conf`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. MICCAI (2) Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2024	—	`conf`	From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation. ECCV Workshops (21) Kristoffer Wickstrøm, Marina M.-C. Höhne, Anna Hedström
2024	J	`jnl`	From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation. CoRR Kristoffer Wickstrøm, Marina Marie-Claire Höhne, Anna Hedström
2023	J	`jnl`	Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
2022	J	`jnl`	Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	—	`conf`	The Kernelized Taylor Diagram. NAIS Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	The Kernelized Taylor Diagram. CoRR Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2021	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2021	J	`jnl`	Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
2020	—	`conf`	SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. ECCV (23) Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
2020	J	`jnl`	Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Anal. Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2020	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2019	J	`jnl`	Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2018	—	`conf`	Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation. MLSP Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen