Publications by authors named "Michael Kampffmeyer"

Claim this Profile
is ecologically and genetically distinct from the major opportunistic pathogen .
Theodor A Ross, Jessin Janice, Sergio Arredondo-Alonso, Iren H Löhr, Einar Holsbø, Michael Kampffmeyer

Microb Genom· June 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
U
UNAGI: Unified neighbor-aware graph neural network for multi-view clustering.
Zheming Xu, Congyan Lang, Lili Wei, Liqian Liang, Tao Wang, Michael C Kampffmeyer

Neural Netw· May 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Deep-learning-derived input function in dynamic [F]FDG PET imaging of mice.
Samuel Kuttner, Luigi T Luppino, Laurence Convert, Otman Sarrhini, Roger Lecomte, Michael C Kampffmeyer

Front Nucl Med· April 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Discriminative multimodal learning via conditional priors in generative models.
Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen

Neural Netw· January 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.
Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen

Med Image Anal· October 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Automatic identification of chemical moieties.
Jonas Lederer, Michael Gastegger, Kristof T Schütt, Michael Kampffmeyer, Klaus-Robert Müller

Phys Chem Chem Phys· October 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
F
Federated Partially Supervised Learning With Limited Decentralized Medical Images.
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing

IEEE Trans Med Imaging· July 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.
Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer

Comput Med Imaging Graph· July 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Kristoffer K Wickstrøm, Sigurd Løkse, Michael C Kampffmeyer, Shujian Yu, José C Príncipe

Entropy (Basel)· June 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Med Image Anal· May 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.
Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser

IEEE Trans Neural Netw Learn Syst· May 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
U
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.
Kristoffer Wickstrom, Karl Oyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen

IEEE J Biomed Health Inform· July 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
E
Explaining decisions of deep neural networks used for fish age prediction.
Alba Ordoñez, Line Eikvil, Arnt-Børre Salberg, Alf Harbitz, Sean Meling Murray, Michael C Kampffmeyer

PLoS One· September 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
U
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen

Med Image Anal· February 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Deep divergence-based approach to clustering.
Michael Kampffmeyer, Sigurd Løkse, Filippo M Bianchi, Lorenzo Livi, Arnt-Børre Salberg

Neural Netw· May 2019

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P Xing

IEEE Trans Image Process· December 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis