Fraunhofer Institute for Digital Medicine MEVIS
Fraunhofer Institute for Digital Medicine MEVIS

Daniela Schacherer

Research Interests

  • Computational Pathology 

Publications

2023

Fedorov A, Longabaugh WJR, Pot D, Clunie DA, Pieper SD, Gibbs DL, Bridge C, Herrmann MD, Homeyer A, Lewis R, Aerts HJWL, Krishnaswamy D, Thiriveedhi VK, Ciausu C, Schacherer DP, Bontempi D, Pihl T, Wagner U, Farahani K, Kim E, Kikinis R (2023) National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics 43(12):e230180
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Schacherer DP, Herrmann MD, Clunie DA, Höfener H, Clifford W, Longabaugh WJR, Pieper S, Kikinis R, Fedorov A, Homeyer A (2023) The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. Computer Methods and Programs in Biomedicine 242:107839
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2022

Schwen LO, Schacherer D, Geißler C, Homeyer A (2022) Evaluating generic AutoML tools for computational pathology. Inform Med Unlocked 29:100853
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2021

Fedorov A, Longabaugh WJR, Pot D, Clunie DA, Pieper S, Aerts HJWL, Homeyer A, Lewis R, Akbarzadeh A, Bontempi D, Clifford W, Herrmann MD, Hofener H, Octaviano I, Osborne C, Paquette S, Petts J, Punzo D, Reyes M, Schacherer DP, Tian M, White G, Ziegler E, Shmulevich I, Pihl T, Wagner U, Farahani K, Kikinis R (2021) NCI Imaging Data Commons. Cancer Res 81(16):4188–4193
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