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Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.

, , , , , , , и . AI and ML for Digital Pathology, (2020)

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Alexander Binder

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Другие публикации лиц с тем же именем

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task, , , , , и . CLEF (Notebook Papers/Labs/Workshop), (2011)BatchNorm Decomposition for Deep Neural Network Interpretation., и . IWANN (2), том 11507 из Lecture Notes in Computer Science, стр. 280-291. Springer, (2019)Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity., , , , и . CoRR, (2020)On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy., , , , , и . CoRR, (2021)Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images., , , , , , , и . AI and ML for Digital Pathology, (2020)Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution., , , , и . ICPR, стр. 4949-4956. IEEE, (2020)Explanation-Guided Training for Cross-Domain Few-Shot Classification., , , , , и . ICPR, стр. 7609-7616. IEEE, (2020)When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning., , , , , , и . BCI, стр. 1-4. IEEE, (2014)Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics., , , , и . IJCNN, стр. 1-10. IEEE, (2019)SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information., , , , и . ECCV (24), том 12369 из Lecture Notes in Computer Science, стр. 103-118. Springer, (2020)