Meinrad Beer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Image Classification

Histogram Intersection Kernel

Top Venues

Bildverarbeitung für die Medizin

BMC Medical Imaging

Frontiers Artif. Intell.

Publications

Luisa Gallée, Meinrad Beer, Michael Götz
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. Bildverarbeitung für die Medizin (2024)
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. Bildverarbeitung für die Medizin (2024)
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. CoRR (2024)
Luisa Gallée, Meinrad Beer, Michael Götz
Interpretable Medical Image Classification using Prototype Learning and Privileged Information. CoRR (2023)
Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers Artif. Intell. 6 (2023)
Luisa Gallée, Meinrad Beer, Michael Götz
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. MICCAI (2) (2023)
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz
Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models. CoRR (2023)
Daniel Schaudt, Christopher Kloth, Christian Spaete, Andreas Hinteregger, Meinrad Beer, Reinhold von Schwerin
Improving COVID-19 CXR Detection with Synthetic Data Augmentation. CoRR (2021)
Christopher Kloth, Wolfgang Maximilian Thaiss, Robert Beck, Michael Haap, Jan Fritz, Meinrad Beer, Marius Horger
Potential role of CT-textural features for differentiation between viral interstitial pneumonias, pneumocystis jirovecii pneumonia and diffuse alveolar hemorrhage in early stages of disease: a proof of principle. BMC Medical Imaging 19 (1) (2019)