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Michael Kampffmeyer

Showing results (1-10 of 13) with videos related to

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Medical Image Analysis|December 7, 2019
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polypsKristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2023
Discriminative multimodal learning via conditional priors in generative modelsRogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, et al.
Medical Image Analysis|March 10, 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxelsStine Hansen, Srishti Gautam, Robert Jenssen, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
Federated Partially Supervised Learning With Limited Decentralized Medical ImagesNanqing Dong, Michael Kampffmeyer, Irina Voiculescu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 18, 2026
ProPy : Building interactive and efficient prompt pyramids upon CLIP for partially relevant video retrievalYi Pan, Yujia Zhang, Michael Kampffmeyer, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 21, 2018
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient SegmentationMichael Kampffmeyer, Nanqing Dong, Xiaodan Liang, et al.
Medical Image Analysis|August 4, 2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinementStine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, et al.
IEEE Journal of Biomedical and Health Informatics|December 7, 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time SeriesKristoffer Wickstrom, Karl Oyvind Mikalsen, Michael Kampffmeyer, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 25, 2019
Deep divergence-based approach to clusteringMichael Kampffmeyer, Sigurd Løkse, Filippo M Bianchi, et al.
Physical Chemistry Chemical Physics : PCCP|September 26, 2023
Automatic identification of chemical moietiesJonas Lederer, Michael Gastegger, Kristof T Schütt, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|December 7, 2019
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polypsKristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2023
Discriminative multimodal learning via conditional priors in generative modelsRogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, et al.
Medical Image Analysis|March 10, 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxelsStine Hansen, Srishti Gautam, Robert Jenssen, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
Federated Partially Supervised Learning With Limited Decentralized Medical ImagesNanqing Dong, Michael Kampffmeyer, Irina Voiculescu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 18, 2026
ProPy : Building interactive and efficient prompt pyramids upon CLIP for partially relevant video retrievalYi Pan, Yujia Zhang, Michael Kampffmeyer, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 21, 2018
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient SegmentationMichael Kampffmeyer, Nanqing Dong, Xiaodan Liang, et al.
Medical Image Analysis|August 4, 2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinementStine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, et al.
IEEE Journal of Biomedical and Health Informatics|December 7, 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time SeriesKristoffer Wickstrom, Karl Oyvind Mikalsen, Michael Kampffmeyer, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 25, 2019
Deep divergence-based approach to clusteringMichael Kampffmeyer, Sigurd Løkse, Filippo M Bianchi, et al.
Physical Chemistry Chemical Physics : PCCP|September 26, 2023
Automatic identification of chemical moietiesJonas Lederer, Michael Gastegger, Kristof T Schütt, et al.
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