Michael Kampffmeyer
Theodor Anton Ross,
Anna Kaarina Pöntinen,
Einar Holsbø,
Ørjan Samuelsen,
Kristin Hegstad,
Michael Kampffmeyer
et al.:
Machine learning-based lineage prediction from antimicrobial susceptibility testing phenotypes for Escherichia coli sequence type 131 clade C surveillance across infection types
Christian Salomonsen,
Luigi T. Luppino,
Fredrik Emil Aspheim,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Michael Kampffmeyer
et al.:
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging
Gabriel Yanci Arteaga,
Marius Aasan,
Rwiddhi Chakraborty,
Martine Hjelkrem Tan,
Thalles Silva,
Michael Kampffmeyer
et al.:
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Durgesh Kumar Singh,
Ahcene Boubekki,
Robert Jenssen,
Michael Kampffmeyer
:
SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering
Yi Pan,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
RefCap: Zero-shot Video Corpus Moment Retrieval Based on Refined Dense Video Captioning
Durgesh Kumar Singh,
Qing Cao,
Sarina Thomas,
Ahcène Boubekki,
Robert Jenssen,
Michael Kampffmeyer
:
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Yi Pan,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt Børre Salberg
:
DiffFuSR: Super-Resolution of All Sentinel-2 Multispectral Bands Using Diffusion Models
Fredrik Andreas Dahl,
Amund Vedal,
Line Eikvil,
Solveig Thrun,
Michael Kampffmeyer,
Solveig Sand-Hanssen Hofvind
:
Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms
Jing Wang,
Songhe Feng,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
Zheming Xu,
He Liu,
Congyan Lang,
Tao Wang,
Yidong Li,
Michael Kampffmeyer
:
A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
Jianqi Chen,
Panwen Hu,
Xiaojun Chang,
Zhenwei Shi,
Michael Kampffmeyer,
Xiaodan Liang
:
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
International Conference on Learning Representations (ICLR) 2025 ARKIV
Haoyuan Li,
Zhou Yanpeng,
Tao Tang,
Jifei Song,
Yihan Zeng,
Michael Kampffmeyer
et al.:
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
International Conference on Learning Representations (ICLR) 2025 ARKIV
Markus Heinonen,
Ba-Hien Tran,
Michael Kampffmeyer,
Maurizio Filippone
:
Robust Classification by Coupling Data Mollification with Label Smoothing
Rogelio Andrade Mancisidor,
Robert Jenssen,
Shujian Yu,
Michael Kampffmeyer
:
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Zijun Sun,
Solveig Thrun,
Michael Kampffmeyer
:
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
Duy Khoi Tran,
Van Nhan Nguyen,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Kristoffer Wickstrøm,
Thea Brüsch,
Michael Kampffmeyer,
Robert Jenssen
:
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
| Proceedings of the AAAI Conference on Artificial Intelligence
Theodor Anton Ross,
Jessin Janice,
Sergio Arredondo Alonso,
Iren Høyland Löhr,
Einar Holsbø,
Jukka Corander
et al.:
Enterococcus lactis is ecologically and genetically distinct from the major opportunistic pathogen Enterococcus faecium
Zheming Xu,
Congyan Lang,
Lili Wei,
Liqian Liang,
Tao Wang,
Yidong Li
et al.:
UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
Junxian Wu,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
Prompt-guided bidirectional deep fusion network for referring image segmentation
Hyeongji Kim,
Changkyu Choi,
Michael Christian Kampffmeyer,
Terje Berge,
Pekka Parviainen,
Ketil Malde
:
ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation
Elisabeth Wetzer,
Nils Olav Handegard,
Michael Kampffmeyer,
Robert Jenssen
:
Problem-Driven AI Methodology for Fisheries Innovation
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Hyperbolic Representation Learning for Spatial Biology: Evaluating Cell Type Hierarchies in Breast Cancer Imaging Data
Christian Salomonsen,
Samuel Kuttner,
Michael Kampffmeyer,
Robert Jenssen,
Kristoffer Wickstrøm,
Jong Chul Ye
et al.:
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
07. diciembre 2025 ARKIV
Christian Salomonsen,
Samuel Kuttner,
Michael Kampffmeyer,
Robert Jenssen,
Kristoffer Wickstrøm,
Jong Chul Ye
et al.:
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Hyperbolic Representation Learning for Spatial Omics
15. noviembre 2025 ARKIV
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Mutual Information Across Geometries
25. noviembre 2025 ARKIV
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Hyperbolic Representation Learning for Spatial Biology: Capturing Cell Type Hierarchies in Breast Cancer
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt Børre Salberg
:
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
07. diciembre 2025 ARKIV
Jørgen Andreas Agersborg,
Michael Kampffmeyer
:
Methodological advancement of optical and radar remote sensing for Arctic forest-tundra ecotone vegetation analysis
UiT Norges arktiske universitet 28. noviembre 2025 ARKIV
Petter Bjørklund,
Durgesh Kumar Singh,
Erik Normann Steen,
Michael Kampffmeyer
:
Slik kan KI bidra til å oppdage hjertesykdommer raskere
Duy Khoi Tran,
Michael Kampffmeyer
:
Towards Data-efficient Fully Automated Visual Inspection of Power-Line Systems
UiT Norges arktiske universitet 10. noviembre 2025 ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE - Neural Operator Function Embedding
2025 ARKIV
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Michael Kampffmeyer,
Tore Wulf Hansen,
Arnt Børre Salberg
:
FM4CS - A Versatile Foundation Model for Earth Observation Climate And Society Applications
12. septiembre 2025 ARKIV
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
et al.:
FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications
26. junio 2025 ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE Neural Operator Function Embedding
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
et al.:
FM4CS: Foundation Models for Climate and Society
Michael Kampffmeyer
:
AI tools to detect disease
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
2025 ARKIV
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
2025 ARKIV
Solveig Thrun,
Stine Hansen,
Nele Blum,
Maik Stille,
Robert Jenssen,
Michael Kampffmeyer
:
TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
08. enero 2025 ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
20. septiembre 2025 ARKIV
Michael Kampffmeyer
:
Kunstig intelligens som forklarer hva den tenker
Adrian Bjørkan Pedersen,
Michael Kampffmeyer
:
Michael ble professor som 32-åring – her er hans tips til unge
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Presentation at PhD school on multi-modal learning
11. agosto 2025 ARKIV
Elisabeth Wetzer,
Suaiba Amina Salahuddin,
Robert Jenssen,
Michael Christian Kampffmeyer,
Torkil Stoltz
:
Verdens nordligste KI-konferanse
08. enero 2025 ARKIV
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Research interests
Computer Vision, Explainable AI, Medical Image Analysis, Multi-modal learning