Alle Publikationen sortiert nach Aktualität

Marek Wodzinski und Henning Müller, Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020
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Carlo Aall, Test, 2020
Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera und Henning Müller, Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019
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Marek Wodzinski und Henning Müller, Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, Seiten 12--22, 2020
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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid und Henning Müller, Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, Seiten 1758--1761, 2020
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Henning Müller, Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020
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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge und Vincent Andrearczyk, Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020
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Vincent Andrearczyk, Valentin Oreiller und Adrien Depeursinge, Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020
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Gianluca Rizzo und Antonio J Jara, I-BAT: A Data-Intensive Solution Based on the Internet of Things to Predict Energy Behaviors in Microgrids, Kapitel 32, IGI Global, Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, Band 3, 2020
[DOI]