Meinrad Beer
Orcid: 0000-0001-7523-1979
According to our database1,
Meinrad Beer
authored at least 9 papers
between 2019 and 2024.
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Bibliography
2024
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.
Comput. Biol. Medicine, 2024
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model.
Proceedings of the Explainable Artificial Intelligence, 2024
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images.
Frontiers Artif. Intell., February, 2023
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
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2021
2019
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, 2019