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Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization2021 Nature Communications article Computer Science Explainable Artificial Intelligence (XAI) Open access
Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus N. Zimmermann, Maximilian Franz Schulze-Hagen, Christoph Haarburger, +4 more
42citations -
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study8citations
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The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer2024 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Advanced Neural Network Applications Open access
Yi Chen, Jie Lou, Malte Wabnitz, Johnson Loh, Tobias Gemmeke
7citations -
Adversarial attacks and adversarial robustness in computational pathology2022 Nature Communications article Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
115citations -
Adversarial attacks and adversarial robustness in computational pathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
14citations
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