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The Information Technology (IT) Infrastructure of the Multicenter Archipelago of Ovarian Cancer Research Biobank: A Potential Blueprint for Other Biobanks2024 Biopreservation and Biobanking article Computer Science Research Data Management Practices Open access
Hein S. Zelisse, Sander de Ridder, Mignon D J M van Gent, Constantijne Helene Mom, G. Bea A. Wisman, Eva‐Maria Roes, +20 more
2citations -
Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.12020 Research Ideas and Outcomes article Computer Science Research Data Management Practices Open access
Alex Hardisty, Hannu Saarenmaa, Ana Casino, Mathias Dillen, Karsten Gödderz, Quentin Groom, +8 more
35citations -
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 -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning2021 Proceedings of the National Academy of Sciences article Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
42citations -
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine Therese Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, +5 more
26citations