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Explainable Artificial Intelligence for Cytological Image Analysis.

S. Röhrl, H. Maier, M. Lengl, C. Klenk, D. Heim, M. Knopp, S. Schumann, O. Hayden, и K. Diepold. AIME, том 13897 из Lecture Notes in Computer Science, стр. 75-85. Springer, (2023)

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Szilvia Lengl

Matthias Lenglinger

Georg Lengl

Gunther Lengl

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Другие публикации лиц с тем же именем

Explainable Artificial Intelligence for Cytological Image Analysis.S. Röhrl, H. Maier, M. Lengl, C. Klenk, D. Heim, M. Knopp, S. Schumann, O. Hayden, и K. Diepold. AIME, том 13897 из Lecture Notes in Computer Science, стр. 75-85. Springer, (2023)A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.A. Hein, S. Röhrl, T. Grobel, M. Lengl, N. Hafez, M. Knopp, C. Klenk, D. Heim, O. Hayden, и K. Diepold. IJCNN, стр. 1-8. IEEE, (2022)Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging.D. Fresacher, S. Röhrl, C. Klenk, J. Erber, H. Irl, D. Heim, M. Lengl, S. Schumann, M. Knopp, M. Schlegel и 3 other автор(ы). MLHC, том 219 из Proceedings of Machine Learning Research, стр. 208-229. PMLR, (2023)Towards Interpretable Classification of Leukocytes based on Deep Learning.S. Röhrl, J. Groll, M. Lengl, S. Schumann, C. Klenk, D. Heim, M. Knopp, O. Hayden, и K. Diepold. CoRR, (2023)Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis.S. Röhrl, L. Bernhard, M. Lengl, C. Klenk, D. Heim, M. Knopp, S. Schumann, O. Hayden, и K. Diepold. BIOIMAGING, стр. 69-77. SCITEPRESS, (2023)Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.S. Röhrl, A. Hein, L. Huang, D. Heim, C. Klenk, M. Lengl, M. Knopp, N. Hafez, O. Hayden, и K. Diepold. CoRR, (2022)Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation.C. Klenk, D. Fresacher, S. Röhrl, D. Heim, M. Lengl, S. Schumann, M. Knopp, K. Diepold, S. Holdenrieder, и O. Hayden. BIOIMAGING, стр. 57-65. SCITEPRESS, (2023)

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