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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 -
Batch-effect correction improves downstream imaging mass cytometry data quality and facilitates robust cell type identification in the liver and hepatocellular carcinoma microenvironment2025 Zeitschrift für Gastroenterologie conference-paper Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics
Henrike Salié, Ana Marta Sequeira, Marieke E. Ijsselsteijn, Felix Röttele, Yuan Suo, Lara Wischer, +4 more
0citations -
Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data2021 Cytometry Part A article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Marieke E. Ijsselsteijn, Antonios Somarakis, Boudewijn P. F. Lelieveldt, Thomas Höllt, Noel F.C.C. de Miranda
50citations -
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 -
scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments2026 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Ritabrata Sanyal, Yang Xu, Hyojin Kim, Rafael Kramann, Sikander Hayat
0citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations