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Identification and Characterization of Challenges in the Future of Manufacturing for the Application of Machine Learning8citations
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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 -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
Task space adaptation via the learning of gait controllers of magnetic soft millirobots2021 The International Journal of Robotics Research article Engineering Soft Robotics and Applications Open access cited by 1 patent
Sinan Özgün Demir, Utku Çulha, Alp Can Karacakol, Abdon Pena‐Francesch, Sebastian Trimpe, Metin Sitti
33citations -
Interacting Federated and Transfer Learning-Aided CSI Prediction for Intelligent Cellular Networks2023 IEEE Transactions on Vehicular Technology article Engineering Advanced MIMO Systems Optimization cited by 1 patent
Jinlong Sun, Yibin Zhang, Guan Gui, Haitao Zhao, Haris Gacanin, Hikmet Sari
13citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more
6citations -
AI agents envisioning the future: Forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning2022 Energy Conversion and Management article Energy Hybrid Renewable Energy Systems Open access cited by 1 patent
Alexander Dreher, Thomas Bexten, Tobias Sieker, Malte Lehna, Jonathan Schütt, Christoph Scholz, +1 more
100citations