Michael Kampffmeyer
Zijun Sun,
Enze Ge,
Solveig Thrun,
Michael Kampffmeyer
:
From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision‑Language Pretraining
Lecture Notes in Computer Science (LNCS) 2026 ARKIV
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
m.fl.:
Longitudinal Multi-View Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 2026 ARKIV
Zheming Xu,
Aiyue Tang,
Shidi Chen,
Xuechao Zou,
Congyan Lang,
Rogelio Andrade Mancisidor
m.fl.:
Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
International Conference on Machine Learning (ICML) 2026 ARKIV
Xujie Zhang,
Ente Lin,
Michael Kampffmeyer,
Zhenyu Xie,
Jiang Li,
Ting Liu
m.fl.:
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence 2026 ARKIV
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Valerio Marsocci,
Nicolas Longepe,
Michael Kampffmeyer
m.fl.:
THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications
Madi Matymov,
Ba-Hien Tran,
Michael Kampffmeyer,
Markus Heinonen,
Maurizio Filippone
:
Optimizing Data Augmentation through Bayesian Model Selection
Jing Wang,
Songhe Feng,
Jiacheng Li,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-view Clustering
Yi Pan,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
ProPy : Building interactive and efficient prompt pyramids upon CLIP for partially relevant video retrieval
Eirik Agnalt Østmo,
Keyur Radiya,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Karl Øyvind Mikalsen,
Robert Jenssen
:
Liver, vessel, and tumor segmentation from partially labeled CT and multi-label masked learning
Proceedings of Machine Learning Research (PMLR) 01. januar 2026 ARKIV
Theodor Anton Ross,
Anna Kaarina Pöntinen,
Einar Holsbø,
Ørjan Samuelsen,
Kristin Hegstad,
Michael Kampffmeyer
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
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
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
m.fl.:
BCRBench: A Breast Cancer Risk Benchmark
27. september 2026 ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
m.fl.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
05. januar 2026 ARKIV
Youssef Wally,
Basil Ell,
Benjamin Ricaud,
Johan Mylius-Kroken,
Martin Giese,
Michael Kampffmeyer
m.fl.:
Biologically Informed Across Space and Time Modelling of the Tumour Microenvironment
15. september 2026 ARKIV
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Basil Ell,
Benjamin Ricaud
m.fl.:
Biologically Informed Modelling of the Tumour Microenvironment: Hyperbolic Representation Learning and Hierarchical Association Rules
09. september 2026 ARKIV
Youssef Wally,
Basil Ell,
Benjamin Ricaud,
Johan Mylius-Kroken,
Martin Giese,
Michael Kampffmeyer
m.fl.:
Extracting Knowledge from Spatial Biology: Evaluating Cell Type Hierarchies in Breast Cancer Imaging Data
18. juni 2026 ARKIV
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
m.fl.:
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
07. desember 2025 ARKIV
Christian Salomonsen,
Samuel Kuttner,
Michael Kampffmeyer,
Robert Jenssen,
Kristoffer Wickstrøm,
Jong Chul Ye
m.fl.:
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. november 2025 ARKIV
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Mutual Information Across Geometries
25. november 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
m.fl.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
07. desember 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. november 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. november 2025 ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
m.fl.:
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. september 2025 ARKIV
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
m.fl.:
FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications
26. juni 2025 ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
m.fl.:
NOFE Neural Operator Function Embedding
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
m.fl.:
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
De 50 siste resultatene vises på siden. Se alle arbeider i NVA her →
Forskningsinteresser
Computer Vision, Explainable AI, Medical Image Analysis, Multi-modal learning