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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 -
Envisaging a global infrastructure to exploit the potential of digitised collections2023 Biodiversity Data Journal article Computer Science Research Data Management Practices Open access
Quentin Groom, Mathias Dillen, Wouter Addink, Arturo H. Ariño, Pierre Bonnet, Lorenzo Cecchi, +29 more
11citations -
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies2024 Environmental Science & Technology article Computer Science Multimodal Machine Learning Applications
Wenjia Liu, Jingwen Chen, Haobo Wang, Zhiqiang Fu, Willie J.G.M. Peijnenburg, Huixiao Hong
30citations -
Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation2025 Radiology Artificial Intelligence article Computer Science Medical Image Segmentation Techniques
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
7citations -
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