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The Aachen Protocol for Deep Learning Histopathology: A hands-on guide for data preprocessing2020 Zenodo (CERN European Organization for Nuclear Research) article Computer Science AI in cancer detection Open access
Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Lara Rosaline Heij, Roman David Buelow, Jeremias Krause, +8 more
29citations -
Multiscale segmentation using hierarchical phase-contrast tomography and deep learning2026 PLoS Computational Biology article Computer Science Medical Image Segmentation Techniques Open access
Yang Zhou, Shahab Zeini Aslani, Yousef Javanmardi, Joseph Brunet, David Stansby, Saskia Carroll, +5 more
3citations -
Explainability of a Deep Learning Based Classification Model for ANCA-Associated Glomerulonephritis2022 Journal of the American Society of Nephrology article Computer Science Explainable Artificial Intelligence (XAI)
Maria A.C. Wester Trejo, Maryam Sadeghi, Shivam Singh, Andreas Kronbichler, Vladimı́r Tesař, Xavier Puéchal, +1 more
0citations -
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study2021 Journal of Medical Internet Research article Computer Science AI in cancer detection Open access
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more
64citations -
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney2024 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Ekin Yağış, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, +7 more
25citations -
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