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A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

, , , , , , , , , and . IJCNN, page 1-8. IEEE, (2022)

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Explainable Artificial Intelligence for Cytological Image Analysis., , , , , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification., , , , , , , , , and . IJCNN, page 1-8. IEEE, (2022)Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM)., , , , , and . EUROCAST (2), volume 12014 of Lecture Notes in Computer Science, page 281-288. Springer, (2019)Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging., , , , , , , , , and 3 other author(s). MLHC, volume 219 of Proceedings of Machine Learning Research, page 208-229. PMLR, (2023)Towards Interpretable Classification of Leukocytes based on Deep Learning., , , , , , , , and . CoRR, (2023)Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis., , , , , , , , and . BIOIMAGING, page 69-77. SCITEPRESS, (2023)Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation., , , , , , , , , and . BIOIMAGING, page 57-65. SCITEPRESS, (2023)Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis., , , , , , , , , and . CoRR, (2022)