Kristoffer Wickstrøm - Publications, H-index & Citations

Kristoffer Wickstrøm

uit the arctic university of tromso

13H指数

53论文数

766被引数

收录论文 13

发表时间

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging 一种用于动态小动物[18F]FDG PET成像中动脉输入函数预测的鲁棒且通用的深度学习模型

EJNMMI Research

IF3

2026-03-09

OAAI

Christian Salomonsen; Luigi T. Luppino; Fredrik Aspheim; Kristoffer Wickstrøm; Elisabeth Wetzer; Michael Kampffmeyer; Rodrigo Berzaghi; Rune Sundset; Robert Jenssen; Samuel Kuttner

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT II

IF0

2026-01-01

PREAI

Thrun, Solveig; Hansen, Stine; Sun, Zijun; Blum, Nele; Salahuddin, Suaiba A.; Wickstrom, Kristoffer; Wetzer, Elisabeth; Jenssen, Robert; Stille, Maik; Kampffmeyer, Michael

From Colors to Classes: Emergence of Concepts in Vision Transformers 从颜色到类别：视觉变换器中概念的出现

EXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT I

IF0

2026-01-01

OAAI

Dorszewski, Teresa; Tetkova, Lenka; Jenssen, Robert; Hansen, Lars Kai; Wickstrom, Kristoffer Knutsen

Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F] FDG PET Images 物理信息深度学习在运动模糊动态[18F]FDG PET图像中改进输入函数估计

PREDICTIVE INTELLIGENCE IN MEDICINE, PRIME 2025

IF0

2026-01-01

PREAI

Salomonsen, Christian; Wickstrom, Kristoffer K.; Kuttner, Samuel; Wetzer, Elisabeth

WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection 木材加工：一种基于深度学习的电力线路巡检中啄木鸟损害检测框架

International Journal of Electrical Power & Energy Systems

IF5

2025-08-27

PREAI

Duy Khoi Tran; Van Nhan Nguyen; Kristoffer Wickstrøm; Michael Kampffmeyer

Selective Imputation for Multivariate Time Series Datasets With Missing Values 具有缺失值的多变量时间序列数据集的选择性插补

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

IF10.4

2023-09-01

OAAI

Blazquez-Garcia, Anehd; Wickstrom, Kristoffer; Yu, Shujian; Mikalsen, Karl Oyvind; Boubekki, Ahcene; Conde, Angel; Mori, Usue; Jenssen, Robert; Lozano, Jose A.

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

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

IF4.9

2023-07-01

OAAI

Wickstrom, Kristoffer Knutsen; Ostmo, Eirik Agnalt; Radiya, Keyur; Mikalsen, Karl Oyvind; Kampffmeyer, Michael Christian; Jenssen, Robert

RELAX: Representation Learning Explainability

INTERNATIONAL JOURNAL OF COMPUTER VISION

IF9.3

2023-03-11

OAAI

Wickstrom, Kristoffer K. K.; Trosten, Daniel J. J.; Lokse, Sigurd; Boubekki, Ahcene; Mikalsen, Karl Oyvind; Kampffmeyer, Michael C. C.; Jenssen, Robert

Mixing up contrastive learning: Self-supervised representation learning for time series 混合对比学习: 时间序列的自监督表示学习

PATTERN RECOGNITION LETTERS

IF3.3

2022-03-01

OAAI

Wickstrom, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Oyvind; Jenssen, Robert

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2021-07-01

OAAI

Wickstrom, Kristoffer; Mikalsen, Karl Oyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert

Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

IF4.5

2021-02-08

OAAI

Kuttner, Samuel; Wickstrom, Kristoffer Knutsen; Lubberink, Mark; Tolf, Andreas; Burman, Joachim; Sundset, Rune; Jenssen, Robert; Appel, Lieuwe; Axelsson, Jan

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

IF8.9

2021-01-01

OAAI

Yu, Shujian; Wickstrom, Kristoffer; Jenssen, Robert; Principe, Jose

Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps 卷积神经网络用于结直肠息肉语义分割的不确定性和可解释性

MEDICAL IMAGE ANALYSIS

IF11.8

2020-02-01

OAAI

Wickstrom, Kristoffer; Kampffmeyer, Michael; Jenssen, Robert

研究方向